WMTS BGDI - OGC WMTS 1.0.0 - - Federal Office of Topography swisstopo webgis@swisstopo.ch +41 58 469 01 11 +41 58 469 04 59 swisstopo Bern BE 3084 Switzerland webgis@swisstopo.ch REST REST Dispersal maps - Alytes obstetricans Swiss-wide map depicting the dispersal probability of the Midwife toad (Alytes obstetricans). Each grid cell indicates the relative probability that dispersing individuals will pass through that hectare on their way between known amphibian breeding sites. The map shows dispersal probability increasing along a scale from blue to yellow to red.These maps should be thought of as heatmaps for dispersal activity of existing populations. In practical terms, these maps also show locations where potential new amphibian breeding sites have the highest chances of being colonized. Areas with many populations in close proximity appear a darker red, reflecting the higher probability of dispersal as multiple dispersal routes between populations intersect. This feature of the maps deserves special attention. Lighter shades at the edges of the species' range do not necessarily indicate a weaker connection between populations, but rather a consequence of the lower density of breeding sites at the edges of the range. The color scale should be considered in the context of the immediate surroundings. The dispersal map was calculated using Circuitscape and is based on a landscape resistance matrix derived from the best-ranked dispersal model for each species. For details, see the attached data description. Literature: Churko G., Szerencsits E., Aldrich A., Schmidt B. R. (2024). Spatial analysis of the potential exposure of amphibians to plant protection products at the landscape scale. Basic and Applied Ecology, 76, 14-24. https://doi.org/10.1016/j.baae.2024.02.004 5.140242 45.398181 11.47757 48.230651 ch.agroscope.amphibien-ausbreitungskarten_alytes_obstetricans image/png Time current current 2056_25 Dispersal map Bombina variegata Swiss-wide map depicting the dispersal probability of the Yellow-Bellied toad (Bombina variegata). Each grid cell indicates the relative probability that dispersing individuals will pass through that hectare on their way between known amphibian breeding sites. The map shows dispersal probability increasing along a scale from blue to yellow to red.These maps should be thought of as heatmaps for dispersal activity of existing populations. In practical terms, these maps also show locations where potential new amphibian breeding sites have the highest chances of being colonized. Areas with many populations in close proximity appear a darker red, reflecting the higher probability of dispersal as multiple dispersal routes between populations intersect. This feature of the maps deserves special attention. Lighter shades at the edges of the species' range do not necessarily indicate a weaker connection between populations, but rather a consequence of the lower density of breeding sites at the edges of the range. The color scale should be considered in the context of the immediate surroundings. The dispersal map was calculated using Circuitscape and is based on a landscape resistance matrix derived from the best-ranked dispersal model for each species. For details, see the attached data description. Literature: Churko G., Szerencsits E., Aldrich A., Schmidt B. R. (2024). Spatial analysis of the potential exposure of amphibians to plant protection products at the landscape scale. Basic and Applied Ecology, 76, 14-24. https://doi.org/10.1016/j.baae.2024.02.004 5.140242 45.398181 11.47757 48.230651 ch.agroscope.amphibien-ausbreitungskarten_bombia_variegata image/png Time current current 2056_25 Dispersal maps Epidalea calamita Swiss-wide map depicting the dispersal probability of the Natterjack toad (Epidalea calamita). Each grid cell indicates the relative probability that dispersing individuals will pass through that hectare on their way between known amphibian breeding sites. The map shows dispersal probability increasing along a scale from blue to yellow to red.These maps should be thought of as heatmaps for dispersal activity of existing populations. In practical terms, these maps also show locations where potential new amphibian breeding sites have the highest chances of being colonized. Areas with many populations in close proximity appear a darker red, reflecting the higher probability of dispersal as multiple dispersal routes between populations intersect. This feature of the maps deserves special attention. Lighter shades at the edges of the species' range do not necessarily indicate a weaker connection between populations, but rather a consequence of the lower density of breeding sites at the edges of the range. The color scale should be considered in the context of the immediate surroundings. The dispersal map was calculated using Circuitscape and is based on a landscape resistance matrix derived from the best-ranked dispersal model for each species. For details, see the attached data description. Literature: Churko G., Szerencsits E., Aldrich A., Schmidt B. R. (2024). Spatial analysis of the potential exposure of amphibians to plant protection products at the landscape scale. Basic and Applied Ecology, 76, 14-24. https://doi.org/10.1016/j.baae.2024.02.004 5.140242 45.398181 11.47757 48.230651 ch.agroscope.amphibien-ausbreitungskarten_epidalea_calamita image/png Time current current 2056_25 Dispersal maps Hyla arborea Swiss-wide map depicting the dispersal probability of the European Tree frog (Hyla arborea). Each grid cell indicates the relative probability that dispersing individuals will pass through that hectare on their way between known amphibian breeding sites. The map shows dispersal probability increasing along a scale from blue to yellow to red.These maps should be thought of as heatmaps for dispersal activity of existing populations. In practical terms, these maps also show locations where potential new amphibian breeding sites have the highest chances of being colonized. Areas with many populations in close proximity appear a darker red, reflecting the higher probability of dispersal as multiple dispersal routes between populations intersect. This feature of the maps deserves special attention. Lighter shades at the edges of the species' range do not necessarily indicate a weaker connection between populations, but rather a consequence of the lower density of breeding sites at the edges of the range. The color scale should be considered in the context of the immediate surroundings. The dispersal map was calculated using Circuitscape and is based on a landscape resistance matrix derived from the best-ranked dispersal model for each species. For details, see the attached data description. Literature: Churko G., Szerencsits E., Aldrich A., Schmidt B. R. (2024). Spatial analysis of the potential exposure of amphibians to plant protection products at the landscape scale. Basic and Applied Ecology, 76, 14-24. https://doi.org/10.1016/j.baae.2024.02.004 5.140242 45.398181 11.47757 48.230651 ch.agroscope.amphibien-ausbreitungskarten_hyla_arborea image/png Time current current 2056_25 Dispersal map Triturus cristatus Swiss-wide map depicting the dispersal probability of the Northern crested newt (Triturus cristatus). Each grid cell indicates the relative probability that dispersing individuals will pass through that hectare on their way between known amphibian breeding sites. The map shows dispersal probability increasing along a scale from blue to yellow to red.These maps should be thought of as heatmaps for dispersal activity of existing populations. In practical terms, these maps also show locations where potential new amphibian breeding sites have the highest chances of being colonized. Areas with many populations in close proximity appear a darker red, reflecting the higher probability of dispersal as multiple dispersal routes between populations intersect. This feature of the maps deserves special attention. Lighter shades at the edges of the species' range do not necessarily indicate a weaker connection between populations, but rather a consequence of the lower density of breeding sites at the edges of the range. The color scale should be considered in the context of the immediate surroundings. The dispersal map was calculated using Circuitscape and is based on a landscape resistance matrix derived from the best-ranked dispersal model for each species. For details, see the attached data description. Literature: Churko G., Szerencsits E., Aldrich A., Schmidt B. R. (2024). Spatial analysis of the potential exposure of amphibians to plant protection products at the landscape scale. Basic and Applied Ecology, 76, 14-24. https://doi.org/10.1016/j.baae.2024.02.004 5.140242 45.398181 11.47757 48.230651 ch.agroscope.amphibien-ausbreitungskarten_triturus_cristatus image/png Time current current 2056_25 Agriculture and amphibians Switzerland-wide map of agricultural parcels that are potentially suitable as either terrestrial habitat or as part of a dispersal route between amphibian breeding sites for up to 11 amphibian species. For each agricultural parcel, the dataset contains in its attributes information on which species (if any) are found in an amphibian breeding site near the parcel (within 200 m, 500 m or 1 km) and are likely to use the parcel as terrestrial habitat. Likewise, it is indicated which species (if any) are highly likely to have dispersal routes between breeding sites that pass through the plot.In the default view of the map, all parcels are shown that are suitable as terrestrial habitat for at least one species with a nearby spawning site (within 500 m) and/or along a dispersal route of at least one species. By selecting a parcel, you can see which species could potentially use that parcel using the columns “species_suitXXX” and “species_corridors" (Alias: "Terrestrial habitat XXXm" and "Dispersal"), which contain a list of the Latin names of each species. 'species_suit200' is suitable habitat for a species with a breeding site within 200 m, 'species_suit500' for 500 m and 'species_suit1000' for 1000 m. The map is based on the spatial combination of the Swiss Agricultural Parcel Map of 2021 (KGK-CGC. (2022). Agricultural Landuse 2021. https://geodienste.ch/) and suitability and dispersal maps for 11 amphibian species. The map differentiates between the basic agricultural parcels and overlapping elements such as biodiversity promotion areas and small structures. Only the data set with the basic parcels is available in the Federal Geodata Infrastructure. Further details can be found in the attached data description. Literature: Churko G., Szerencsits E., Aldrich A., Schmidt B. R. (2024). Spatial analysis of the potential exposure of amphibians to plant protection products at the landscape scale. Basic and Applied Ecology, 76, 14-24. https://doi.org/10.1016/j.baae.2024.02.004 5.140242 45.398181 11.47757 48.230651 ch.agroscope.amphibien-bedeutung_parzellen image/png Time current current 2056_25 Wetness potential agricultural land - 5.140242 45.398181 11.47757 48.230651 ch.agroscope.feuchtflaechenpotential-kulturlandschaft image/png Time current current 2056_23 Focus map birds The published data were produced in the framework of Klein et al. 2025, parts of the project and co-authors were funded by Agroscope, the Swiss Federal Office for the Environment (FOEN) // Swiss Government under the project “ValPar.CH: Values of the ecological infrastructure in Swiss parks” (grant no. A1.2) and BiodivERsA-Belmont Forum Call on “Scenarios of Biodiversity and Ecosystem services” (grant no. BiodivScen-157). The objective of the project was to combine field-level impact of agricultural activities with the potential distribution of Swiss priority birds. The impact was assessed for 2021, using the Swiss Agricultural Life Cycle Assessment for Biodiversity (SALCA-BD, Jeanneret et al. 2014). The potential was assessed by aggregating predictions from species distribution models of 27 bird priority species, modelled as part of the ValParCH project (Adde et al. 2023), using the SWECO25 database for environmental predictors (Külling et al. 2024). First, an optimized hot spot analysis using ArcGIS pro was conducted separately on estimated impact and distribution potential. Second, they were combined using a multivariate clustering with K-means statistics to identify clusters with comparable combinations between high and low impact and high and low potential. The resulting map shows 7 clusters with distinct combinations of high/low impact and potential. The spatial resolution of the raster dataset is 25 m. <br><br> References: <br> Adde, A., Rey, P. L., Brun, P., Külling, N., Fopp, F., Altermatt, F., Broennimann, O., Lehmann, A., Petitpierre, B., Zimmermann, N. E., Pellissier, L., & Guisan, A. (2023). N-SDM: A high-performance computing pipeline for nested species distribution modelling. Ecography, 2023, e06540. https://doi.org/10.1111/ecog.06540 Jeanneret, P., Baumgartner, D. U., Freiermuth Knuchel, R., Koch, B., & Gaillard, G. (2014). An expert system for integrating biodiversity into agricultural life-cycle assessment. Ecological Indicators, 46, 224–231. https://doi.org/10.1016/j.ecolind.2014.06.030 Klein N., Adde A., Grêt-Regamey A., Guisan A., Herzog F., Jeanneret P., Kay. S. Identifying focus zones for the conservation and promotion of priority birds in Swiss farmland. Conservation Science and Practice. 2025. https://doi.org/10.1111/csp2.13286 Külling, N., Adde, A., Fopp, F., Schweiger, A. K., Broennimann, O., Rey, P.-L., Giuliani, G., Goicolea, T., Petitpierre, B., Zimmermann, N. E., Pellissier, L., Altermatt, F., Lehmann, A., & Guisan, A. (2024). SWECO25: A cross-thematic raster database for ecological research in Switzerland. Scientific Data, 11, 21. https://doi.org/10.1038/s41597-023-02899-1 5.140242 45.398181 11.47757 48.230651 ch.agroscope.fokuskarte-voegel image/png Time current current 2056_25 Wetland Corridors – Zones This dataset depicts potential movement corridors between nationally and regionally inventoried wetland sites for open wetland species (OFG-Arten). This corridor raster supplements the idealized least-cost paths from the related layer, “Corridor Quality” with error bars, providing a two-dimensional representation of potential corridors around the optimal dispersal routes. Together, the two maps highlight and rank potential routes between protected wetland sites according to their permeability, allowing spatially-explicit prioritization of re-wetting initiatives.The movement corridors were generated by buffering the least-cost paths between wetland sites in steps of 10% increases in Cost-Distance. The darkest blue corridors contain the 10% of cells with the lowest deviation in cost-distance from the least-cost path. Besides highlighting possible secondary and tertiary routes between sites, interpretation of these maps can offer useful insights regarding the local landscape and connectivity within the region. In areas where a least-cost path travels through a wide swath of wet habitat, the corridor broadens, suggesting that the least-cost path here is but one of many likely routes through the location. Alternatively, when the corridor narrows,dispersal is restricted through a thin strip of suitable habitat. For more details about the construction and application of the corridor maps, see: Churko, G., Walter, T., Szerencsits, E., & Gramlich, A. (2020). Improving wetland connectivity through the promotion of wet arable land. Wetlands Ecology and Management, 28(4), 667–680. Churko, Greg, Szerencsits, Erich, Gramlich, Anja, Prasuhn, Volker, & Walter, Thomas. (2018). Arten der Feucht-(Acker-) Flächen in der Schweiz und Korridore zwischen Schutzobjekten. Agroscope Science, 76, 1–39. Roberti G., Gramlich A., Benz R., Szerencsits E., Churko G., Prasuhn V., Leifeld J., Zorn A., Jacot-Ammann K., Herzog F., Fabian Y. Entscheidungshilfe für feuchte und nasse Ackerflächen : Unterstützung bei der Identifikation von Flächen, auf denen Alternativen zur Entwässerung in Betracht zu ziehen sind. Agroscope Transfer, 449, 2022, 1-68. 5.140242 45.398181 11.47757 48.230651 ch.agroscope.korridore-feuchtgebietsarten_bereiche image/png Time current current 2056_25 Wetland Corridors – Quality This data set describes the quality of potential movement corridors for open wetland species (OFG species) between nationally and regionally inventoried wetlands.This map is based on a landscape model that is categorized according to its suitability as a habitat for OFG species. Water edges and humid areas were assigned a high suitability and therefore low effort for dispersal. This suitability dataset was then used to calculate the most direct ‘least cost path' between wetlands for the dispersal of OFG species. The related ‘Corridor zones' dataset supplements the idealized least-cost paths from this layer with error bars, providing spatial definition to the potential migratory routes. Together, the two maps highlight and rank potential routes between protected wetland sites according to their permeability, allowing spatially-explicit prioritization of re-wetting initiatives. The least-cost paths are ranked according to their permeability, as measured by the total cost of movement along a path divided by the euclidean distance between the linked wetlands (Table column: 'Cost_to_EucDist_Ratio'). Red lines have a high permeability, or low cost to distance ratio, while orange lines have medium permeability, and yellow lines low. The ranking into the three categories is based on quantiles, i.e. red lines represent the 33% of least-cost-paths with the highest permeability. For more details about the construction and application of the corridor maps, see: Churko, G., Walter, T., Szerencsits, E., & Gramlich, A. (2020). Improving wetland connectivity through the promotion of wet arable land. Wetlands Ecology and Management, 28(4), 667–680. Churko, Greg, Szerencsits, Erich, Gramlich, Anja, Prasuhn, Volker, & Walter, Thomas. (2018). Arten der Feucht-(Acker-) Flächen in der Schweiz und Korridore zwischen Schutzobjekten. Agroscope Science, 76, 1–39. Roberti G., Gramlich A., Benz R., Szerencsits E., Churko G., Prasuhn V., Leifeld J., Zorn A., Jacot-Ammann K., Herzog F., Fabian Y. Entscheidungshilfe für feuchte und nasse Ackerflächen : Unterstützung bei der Identifikation von Flächen, auf denen Alternativen zur Entwässerung in Betracht zu ziehen sind. Agroscope Transfer, 449, 2022, 1-68. 5.140242 45.398181 11.47757 48.230651 ch.agroscope.korridore-feuchtgebietsarten_qualitaet image/png Time current current 2056_25 Cities and conurbations BeSA The list of cities and conurbations which qualify for subsidies shows which municipalities are entitled to federal subsidies within the framework of the Urban Transport programme (in accordance with Annex of the DETEC Ordinance on the Urban Transport Programme [PAVV, SR 725.116.214]). The basis for the list shows the definition of “Spaces with an urban character” from the Federal Statistical Office, FSO (2012). This includes the right to subsidies for all municipalities that are entitled to subsidies based on the definition of a conurbation from 2000. The number of adjoining communities are reduced in accordance with the definition by the Federal Statistical Office, FSO in 2012, through the use of statistical criteria. The municipalities of Sarnen and Appenzell as canton capitals are also included in the list of cities and conurbations which qualify for subsidies. Small adjustments were made with realignments and fillings in the gaps.The update dated 1 August 2025 is based on the 2020 agglomeration definition and includes the proposals from the cantons and agglomerations regarding the inclusion or removal of municipalities. 5.140242 45.398181 11.47757 48.230651 ch.are.agglomerationsverkehr image/png Time current current 2056_25 Alpine Convention The perimeters of the Alpine Convention in Switzerland. The Alpine Convention is an international treaty between the eight Alpine countries: Germany, France, Italy, Liechtenstein, Monaco, Austria, Switzerland and Slovenia, plus the European Union. The aim of the treaty is to protect the Alps by means of cross-sectoral, integrated and sustainable policies. 5.140242 45.398181 11.47757 48.230651 ch.are.alpenkonvention image/png Time current current 2056_26 Building zones Switzerland (harm.) The dataset "Building zones Switzerland (harmonized)" is based on the geodata on building zones available to the cantonal offices responsible for spatial planning as of 1.1.2022. The cantonal zone types were assigned to nine primary uses within the building zones in accordance with the minimum geodata model on land use planning. 5.140242 45.398181 11.47757 48.230651 ch.are.bauzonen image/png Time current current 2056_26 Passenger traffic rail Passengers transported by public transport on the Swiss rail network (including tram). Daily values for average workday traffic (AWDT) and average daily traffic (ADT) as well as values for the morning peak hour (7h-8h, MPH) and evening peak hour (17h-18h, EPH). Source: National Passenger Traffic Model (NPVM) by DETEC. 5.140242 45.398181 11.47757 48.230651 ch.are.belastung-personenverkehr-bahn image/png Time current current 2056_26 Passenger traffic rail 2050 Passengers transported by public transport on the Swiss rail network (including tram) in 2050. Daily values for average workday traffic (AWDT) and average daily traffic (ADT) as well as values for the morning peak hour (7h-8h, MPH) and evening peak hour (17h-18h, EPH). Source: Transport outlook 2050, Scenario Basis. 5.140242 45.398181 11.47757 48.230651 ch.are.belastung-personenverkehr-bahn_zukunft image/png Time current current 2056_26 Passenger/freight traffic road Vehicles on the Swiss road network, divided into passenger cars (PW), delivery vehicles (LI), lorries (LW) and articulated lorries (LZ). Daily values for average workday traffic (AWDT) and average daily traffic (ADT) as well as values for the morning peak hour (7h-8h, MPH) and evening peak hour (17h-18h, EPH). Source: National Passenger Traffic Model (NPVM) and Aggregated Method for Freight Traffic (AMG) by DETEC. 5.140242 45.398181 11.47757 48.230651 ch.are.belastung-personenverkehr-strasse image/png Time current current 2056_26 Passenger/freight traffic road 2050 Vehicles on the Swiss road network, divided into passenger cars (PW), delivery vehicles (LI), lorries (LW) and articulated lorries (LZ) in 2050. Daily values for average workday traffic (AWDT) and average daily traffic (ADT) as well as values for the morning peak hour (7h-8h, MPH) and evening peak hour (17h-18h, EPH). Source: Transport outlook 2050, Scenario Basis. 5.140242 45.398181 11.47757 48.230651 ch.are.belastung-personenverkehr-strasse_zukunft image/png Time current current 2056_26 Accessibility by road Accessibility per traffic zone on the road depending on the travel times from all zones in Switzerland to the traffic zone and the number of inhabitants and jobs in the traffic zone Source: National Passenger Traffic Model (NPVM) of DETEC. 5.140242 45.398181 11.47757 48.230651 ch.are.erreichbarkeit-miv image/png Time current current 2056_26 Accessibility by PT Accessibility per traffic zone in public transport depending on the public transport travel times from all zones in Switzerland to the traffic zone and the number of inhabitants and jobs in the traffic zone. Source: National Passenger Traffic Model (NPVM) of DETEC. 5.140242 45.398181 11.47757 48.230651 ch.are.erreichbarkeit-oev image/png Time current current 2056_26 Public transport connection quality ARE The public transport quality categories are an important indicator for evaluating accessibility by public transport. They are calculated using an automated process on the basis of data taken from the electronic timetables of the Swiss transport companies (GTFS). Source: opentransportdata.swiss 5.140242 45.398181 11.47757 48.230651 ch.are.gueteklassen_oev image/png Time current current 2056_26 Landscape typology of Switzerland The landscape typology of Switzerland provides a technical basis for addressing a range of questions relating to spatial effects. The landscape typology of Switzerland is primarily used for carrying out governmental tasks. For this reason, a scale of 1:100,000 was chosen. The landscape types have been selected on the basis of a range of criteria. Distinctions are made between types of landscape in the Jura, the Central Plateau and the Alps as well as landscape types which are independent from those geographical areas. 5.140242 45.398181 11.47757 48.230651 ch.are.landschaftstypen image/png Time current current 2056_26 Travel time to agglos by road Travel time to agglomerations and core communities outside the agglomerations on the road network. From each traffic zone, the travel time to the fastest accessible agglomeration or core municipality is determined. Source: National Passenger Transport Model (NPVM) of DETEC. 5.140242 45.398181 11.47757 48.230651 ch.are.reisezeit-agglomerationen-miv image/png Time current current 2056_26 Travel time to agglos by PT Travel time to agglomerations and core communities outside the agglomerations by public transport. From each traffic zone, the travel time to the fastest accessible agglomeration or core municipality is determined. Source: National Passenger Transport Model (NPVM) of DETEC. 5.140242 45.398181 11.47757 48.230651 ch.are.reisezeit-agglomerationen-oev image/png Time current current 2056_26 Travel time to centres by road Travel time to the 6 major centres of Basel, Bern, Geneva, Lausanne, Lugano and Zurich on the road network. From each traffic zone, the travel time to the fastest accessible centre is determined. Source: National Passenger Traffic Model (NPVM) of DETEC. 5.140242 45.398181 11.47757 48.230651 ch.are.reisezeit-miv image/png Time current current 2056_26 Travel time to centres by PT Travel time to the 6 major centres of Basel, Bern, Geneva, Lausanne, Lugano and Zurich by public transport. From each traffic zone, the travel time to the fastest accessible centre is determined. Source: National Passenger Transport Model (NPVM) of DETEC. 5.140242 45.398181 11.47757 48.230651 ch.are.reisezeit-oev image/png Time current current 2056_26 Settlement The ‘Settlement' is a geodata set of the settled landscape from a spatial development perspective. The data set serves as a geometric reference for various indicators in spatial observation. What is built for residential, work or leisure purposes is considered to be settled. This includes, in particular, the buildings and their surroundings, as well as the adjacent roads and transport infrastructure for their direct access. Any gaps that extend over more than 1500 m2 remain as such. The data layer is based on data from the topographic landscape model of swisstopo and the FSO's Register of Buildings and Dwellings.The data is updated and published annually. The time series from 1919 can be viewed as a time journey at map.geo.admich.ch and downloaded as yearly updates at https://data.geo.admin.ch/browser/index.html#/collections/ch.are.siedlung. 5.140242 45.398181 11.47757 48.230651 ch.are.siedlung image/png Time current current 2025 2024 2023 2022 2021 2020 2019 2010 2000 1990 1980 1970 1960 1945 1919 2056_25 Solar: aspects of use Aspects related to use as set out in the document "Freistehende Photovoltaikanlagen: Methodische Grundlage des Bundes" (Ground-mounted photovoltaic installations: methodological basis of the Confederation; published in german and french) are taken into account, particularly concerning radiation, topography, soil type and accessibility. For other important aspects such as connection to the electricity grid or natural hazards, the appropriate geodata was not available at the national level when the maps were produced (2025). The content of the map therefore represents an initial estimate by the federal services involved. For the spatial planning designation of suitable areas in accordance with Article 10 of the Energy Act, further usage interests not shown on this map must be taken into account.. 5.140242 45.398181 11.47757 48.230651 ch.are.solaranlagen-nutzungsaspekte image/png Time current current 2056_25 Solar: ratio areas worth examining "This dataset represents the proportion of areas worth examinig according to the Confederation. It provides an initial indication of where areas worth examinig are located in Switzerland – areas identified on the basis of the method used in the document ""Freistehende Photovoltaikanlagen: Methodische Grundlage des Bundes"" (Ground-mounted photovoltaic installations: methodological basis of the Confederation; published in german and french). This dataset is designed for a scale of 1:100,000 or smaller. For more detailed information and the representation of specific areas, please consult the dataset ""Areas worth examining"". The two datasets go hand in hand and provide different information from a national and regional perspective." 5.140242 45.398181 11.47757 48.230651 ch.are.solaranlagen-pruefenswerte_gebiete image/png Time current current 2056_25 Solar: areas worth examining "The areas worth examining from the federal government's perspective provide initial indications of which areas could be considered as suitable areas in accordance with Article 10 of the Energy Act. The designation of these areas is based on the method used in the document ""Freistehende Photovoltaikanlagen: Methodische Grundlage des Bundes"" (Ground-mounted photovoltaic installations: methodological basis of the Confederation; published in german and french). The areas identified cannot be regarded as a sufficient or exclusive prerequisite for the spatial planning designation of suitable areas for solar installations of national importance or of zones for solar energy use under cantonal law. The relevant planning work by the cantons (or municipalities) is either underway or still to be carried out. This map does not prejudge any decisions made by the planning authorities in this regard.This dataset is designed for a scale of 1:25,000 or smaller. For an overview of Switzerland, please refer to the dataset ""ratio areas worth examining"". The two datasets complement each other and provide different information from a national or regional perspective. This dataset has an advanced search function. However, no additional information is available for cells that do not belong to the areas under consideration (i.e. urbanised areas and transport areas, large bodies of water and forests)." 5.140242 45.398181 11.47757 48.230651 ch.are.solaranlagen-pruefenswerte_gebiete_vektor image/png Time current current 2056_25 Solar: protection interests This is a summary of important protection interests under federal law and other, partly competing interests, as set out in the document "Freistehende Photovoltaikanlagen: Methodische Grundlage des Bundes" (Ground-mounted photovoltaic installations: methodological basis of the Confederation; published in german and french). The summary is not exhaustive; for example, it makes no statements or incomplete statements on species or nature conservation and does not include any cantonal or municipal protection interests. The content of the map is therefore not legally binding. For the spatial planning designation of suitable areas in accordance with Article 10 of the Energy Act, further protection interests not shown on this map must be taken into account. 5.140242 45.398181 11.47757 48.230651 ch.are.solaranlagen-schutzinteressen image/png Time current current 2056_25 Housing inventory The apartment inventory map service shows the status in blue primer of the municipalities that are subject to the building regulations of the Second Housing Act (ZWG, SR 702) and are only allowed to set up second homes under strict conditions (ZWG Art. 7ff.). The Second Homes Act defines the limit of a second home proportion at 20 per cent. The Second Homes Act obliges all Swiss municipalities to create an annual apartment inventory to calculate the number of proportion of second apartments. The basis for this is the Swiss Federal Register of Buildings and Dwellings. The Swiss Federal Register of Buildings and Dwellings is maintained by the municipalities and evaluated by the Federal Office for Spatial Development by 31.12. The Federal Office for Spatial Development will publish the apartment inventory and number of second apartments at the end of March. Municipalities whose second apartment share in March was under or over the limit of 20 per cent will be subject to a procedure to check the second apartment share. The list of the state of proceedings (status) will be updated at the end of October. The percentages of the apartment inventory will remain unchanged until the next publication of the apartment inventories at the end of March, as the exact values ​​do not always have to be determined in the examination procedure for the decision below or above 20 percent second home share. For more precise information, the municipalities are responsible for ongoing proceedings. The municipalities have to show the total number of apartments and first apartments in the apartment inventory, however, there is no obligation to declare first apartments, equivalent apartments or second apartments as such in the RBD. Therefore, the data from the apartment inventory regarding second apartments cannot be compared with data from other municipalities. 5.140242 45.398181 11.47757 48.230651 ch.are.wohnungsinventar-zweitwohnungsanteil image/png Time current current 2056_23 NLA Natural values/ habitats The DDPS is one of the most important landowners in Switzerland. A large part of the areas used for military purposes are within the perimeter of nature and landscape protection inventories. The military usage favours the preservation of natural values in many places, for example, in amphibian spawning sites. However, it can also have adverse effects, which should be minimised. The interests of national defence and nature conservation are of equal importance in the Federal Constitution.For 25 years, the DDPS has been protecting and promoting the diversity of species and their habitats on the army sites with the programme Nature, Landscape and the Armed Forces (NLA). As part of this programme, the natural values as well as the utilisation by the Armed Forces and by third parties have been recorded on the larger sites such as military training areas, shooting ranges and aerodromes, the conflicts identified and measures to mitigate them defined and implemented. The respective files are updated periodically or in the case of major changes. The NLA data represents the mapped valuable natural values and habitats on areas used for military purposes. Valuable refers, on the one hand, to all habitats which have a protection status. Either the habitat is protected by the NCHA or the area is in a national, cantonal or communal inventory. In addition to these protected habitats, other habitats/ areas worthy of protection are also recorded, such as species-rich areas or areas where the main purpose is to promote biodiversity. 5.140242 45.398181 11.47757 48.230651 ch.armasuisse.natur-landschaft_armee image/png Time current current 2056_26 Main roads network Main roads network 5.140242 45.398181 11.47757 48.230651 ch.astra.hauptstrassennetz image/png Time current current 2056_26 Inventory historical routes terrain map The terrain map forms the cartographical basis of the first version of the inventory. It contains supplementary information about the objects specified in Article 3 of the Ordinance on the Federal Inventory of Historic Swiss Transport Routes (ITRO) and on the objects of regional and local importance. The terrain map will not be updated in the near future and, for this reason, is only provided as supplementary information in the electronic publication and as a separate map in the printed version (see Article 4 of the ITRO). 5.140242 45.398181 11.47757 48.230651 ch.astra.ivs-gelaendekarte image/png Time current current 2056_26 IHR national The inventory of historical routes in Switzerland (IHR) contains comprehensive information about the course of the historical routes, their history, their condition and their importance in terms of the Natural Culture and Heritage Act (NCHA). The IHR consists of two parts: the federal inventory and the additional historical routes (Ordinance on the Federal Inventory of Historic Swiss Transport Routes (ITRO), Article 3). The objects of national importance with visible historic substance make up the legally protected federal inventory. Objects which are of national importance in a historical context but which have no or little structural substance are not included in the federal inventory. Numerous objects which have been designated by the cantons as being of regional or local importance also form part of the IHR but not of the federal inventory. You can find more information about the inventory via the following link: http://www.ivs.admin.ch/. The complete dataset of the inventory can be displayed in the following WebGIS application and also downloaded: http://ivs-gis.admin.ch (see Article 4 of the ITRO). 5.140242 45.398181 11.47757 48.230651 ch.astra.ivs-nat image/png Time current current 2056_26 IHR Boundaries The boundaries form part of the inventory map, regardless of the classification (national, regional, local). On the map the boundaries mark the beginning and end of a section (of a route). The boundaries are point objects. 5.140242 45.398181 11.47757 48.230651 ch.astra.ivs-nat_abgrenzungen image/png Time current current 2056_26 IHR nat.importance, no subst. The course of historical routes of national importance is supplementary information for the federal inventory. It shows historical routes of national importance with no or little structural substance, whose layout is still identifiable (Article 2 of the ITRO). The courses represented do not form part of the national inventory. 5.140242 45.398181 11.47757 48.230651 ch.astra.ivs-nat-verlaeufe image/png Time current current 2056_26 IHR Elements of landscape The elements of landscape form part of the inventory map, regardless of the classification (national, regional, local). They indicate objects such as milestones, crossroads, chapels, moorings, ferries, wells and other elements of the landscape. They are point objects without any other attributes. 5.140242 45.398181 11.47757 48.230651 ch.astra.ivs-nat_wegbegleiter image/png Time current current 2056_26 IHR regional & local The inventory of historical routes in Switzerland (IHR) contains comprehensive information about the course of the historical routes, their history, their condition and their importance in terms of the Natural Culture and Heritage Act (NCHA). In addition to objects of national importance, which are recorded in the federal inventory (objects with visible historical substance) and as supplementary information (objects with little or no structural substance), the IHR also includes objects of regional and local importance. These objects can be identified by the cantons as being important during the cantonal legislative process, the planning process or in other appropriate ways. They can be included in the electronic publication managed by the Federal Roads Office (FEDRO), even if the cantons cannot provide a definitive designation. Until a definitive designation of this kind is supplied by the cantons, the entries are based on provisional estimates by the Swiss Confederation. The publication of these objects which have not yet been given a definitive designation by the canton in question is justified because of the importance of this for the assessment of financial aid (Article 12 of the ITRO) and interventions (Article 7 of the ITRO). 5.140242 45.398181 11.47757 48.230651 ch.astra.ivs-reg_loc image/png Time current current 2056_26 Area of consultation of national routes The Major Accidents Ordinance (MAO, SR 814.012) aims to protect the population and the environment from severe damage caused by major accidents. It stipulates that the owners of a transport route, an enterprise, or a pipeline facility must independently implement safety measures and governs the control and assessment procedures carried out by the authorities. The MAO applies to transit roads as defined in the Ordinance on Transit Roads, on which dangerous goods are transported or handled in accordance with the Ordinance of 17 April 1985 on the Transport of Dangerous Goods by Road (SDR) or the corresponding international agreements (ADR). According to Article 1 of the Ordinance on Transit Roads, transit roads are open to general through traffic. These include motorways, expressways, and main roads. 5.140242 45.398181 11.47757 48.230651 ch.astra.konsultationsbereiche-nationalstrassen image/png Time current current 2056_23 Mountainbikeland Schweiz “Mountainbikeland Schweiz” from SchweizMobil comprises the national, regional and local mountainbike routes in Switzerland and Liechtenstein. This data set is published in accordance with the Geoinformation Ordinance as part of the geo data set “Cycling networks”. It is compiled in conjunction with the Federal Roads Office, FEDRO, SchweizMobil and the cantons. 5.140242 45.398181 11.47757 48.230651 ch.astra.mountainbikeland image/png Time current current 2056_26 Snowshoe trails The ‘Snowshoe trails' dataset includes the best selection from SwitzerlandMobility (thick lines) and the other signposted trails from the cantons. This selection is coordinated with the Swiss Hiking Trail Association, the cantons and the Principality of Liechtenstein. This is currently (as of 12 November 2025) an initial data set containing the following information: SwitzerlandMobility trails throughout Switzerland, other signposted trails in the cantons of Jura, Schwyz, Graubünden and the Principality of Liechtenstein.No liability is accepted for the accuracy, completeness or up-to-dateness of the route and trail data, and any liability for the use of this data is excluded. The signage and the weather and trail or route conditions on site are decisive. 5.140242 45.398181 11.47757 48.230651 ch.astra.schneeschuhwanderwege image/png Time current current 2056_25 Accidents per inhabitant - Alcohol Road traffic accidents with severe injuries or fatalities and main cause alcohol per 10'000 inhabitants by canton. 5.140242 45.398181 11.47757 48.230651 ch.astra.schwerverunfallte-kanton_alkohol image/png Time current current 2056_23 Accidents per inhabitant - Speeding Road traffic accidents with severe injuries or fatalities and main cause speeding per 10'000 inhabitants by canton. 5.140242 45.398181 11.47757 48.230651 ch.astra.schwerverunfallte-kanton_geschwindigkeit image/png Time current current 2056_23 Accidents in the annual comparison Road traffic accidents with severe injuries or fatalities by canton in the annual comparision. 5.140242 45.398181 11.47757 48.230651 ch.astra.schwerverunfallte-kanton_jahresvergleich image/png Time current current 2056_23 Accidents per inhabitant Road traffic accidents with severe injuries and fatalities per 10'000 inhabitants by canton. 5.140242 45.398181 11.47757 48.230651 ch.astra.schwerverunfallte-kanton_pro_einwohner image/png Time current current 2056_23 Skatingland Schweiz “Skatingland Schweiz” from SchweizMobil comprises the national, regional and local skating routes in Switzerland and Liechtenstein. This data set is published in accordance with the Geoinformation Ordinance as part of the geo data set “Cycling networks”. It is compiled in conjunction with the Federal Roads Office, FEDRO, SchweizMobil and the cantons. 5.140242 45.398181 11.47757 48.230651 ch.astra.skatingland image/png Time current current 2056_26 Traffic counting locations - principal Representation of the automatic traffic counting locations on Swiss roads - principal network 5.140242 45.398181 11.47757 48.230651 ch.astra.strassenverkehrszaehlung-uebergeordnet image/png Time current current 2056_25 Accidents with personal injury Anonymised visualisation and positioning of road traffic accidents with injury to persons since 2011. Information on the year, the month, the weekday, the time of the accident, the type of road, the type of accident and the category of severity is provided for road traffic accidents. 5.140242 45.398181 11.47757 48.230651 ch.astra.unfaelle-personenschaeden_alle image/png Time 99990101 99990101 20250101 20240101 20230101 20220101 20210101 20200101 20190101 20180101 20170101 20160101 20150101 20140101 20130101 20120101 20110101 2056_26 Accidents involving a bicycle Anonymised visualisation and positioning of road traffic accidents with injury to persons involving at least one bicycle (incl. electric bicycles) since 2011. Information on the year, the month, the weekday, the time of the accident, the type of road, the type of accident and the category of severity is provided for road traffic accidents. 5.140242 45.398181 11.47757 48.230651 ch.astra.unfaelle-personenschaeden_fahrraeder image/png Time 99990101 99990101 20250101 20240101 20230101 20220101 20210101 20200101 20190101 20180101 20170101 20160101 20150101 20140101 20130101 20120101 20110101 2056_26 Accidents involving a pedestrian Anonymised visualisation and positioning of of road traffic accidents with injury to persons involving at least one pedestrian since 2011. Information on the year, the month, the weekday, the time of the accident, the type of road, the type of accident and the category of severity is provided for road traffic accidents. 5.140242 45.398181 11.47757 48.230651 ch.astra.unfaelle-personenschaeden_fussgaenger image/png Time 99990101 99990101 20250101 20240101 20230101 20220101 20210101 20200101 20190101 20180101 20170101 20160101 20150101 20140101 20130101 20120101 20110101 2056_26 Accidents with fatalities Anonymised visualisation and positioning of road traffic accidents involving at least one fatality since 2011. Information on the year, the month, the weekday, the time of the accident, the type of road, the type of accident and the category of severity is provided for road traffic accidents. 5.140242 45.398181 11.47757 48.230651 ch.astra.unfaelle-personenschaeden_getoetete image/png Time 99990101 99990101 20250101 20240101 20230101 20220101 20210101 20200101 20190101 20180101 20170101 20160101 20150101 20140101 20130101 20120101 20110101 2056_26 Accidents involving a motorcycle Anonymised visualisation and positioning of road traffic accidents with injury to persons involving at least one motorbike since 2011. Informatoon on the year, the month, the weekday, the time of the accident, the type of road, the type of accident and the category of severity is provided for road traffic accidents. 5.140242 45.398181 11.47757 48.230651 ch.astra.unfaelle-personenschaeden_motorraeder image/png Time 99990101 99990101 20250101 20240101 20230101 20220101 20210101 20200101 20190101 20180101 20170101 20160101 20150101 20140101 20130101 20120101 20110101 2056_26 Veloland Schweiz “Veloland Schweiz” from SchweizMobil comprises the national, regional and local cycling routes in Switzerland and Liechtenstein. This data set is published in accordance with the Geoinformation Ordinance as part of the geo data set “Cycling networks”. It is compiled in conjunction with the Federal Roads Office, FEDRO, SchweizMobil and the cantons. 5.140242 45.398181 11.47757 48.230651 ch.astra.veloland image/png Time current current 2056_26 Wanderland “Wanderland Schweiz” from SchweizMobil comprises the national, regional and local hiking and mountain walking routes and barrier-free trails in Switzerland and Liechtenstein. This data set is published in accordance with the Geoinformation Ordinance as part of the geo data set “Walking and hiking networks”. It is compiled in conjunction with the Federal Roads Office, FEDRO, the Swiss hiking routes, SchweizMobil and the cantons. 5.140242 45.398181 11.47757 48.230651 ch.astra.wanderland image/png Time current current 2056_26 Winter hiking trails The ‘Winter hiking trails' dataset comprises the best selection from SwitzerlandMobility (thick lines) and the other signposted trails from the cantons. This selection is coordinated with the Swiss Hiking Trail Association, the cantons and the Principality of Liechtenstein. This is currently (as of 12 November 2025) an initial data set containing the following data: SwitzerlandMobility trails throughout Switzerland, other signposted routes in the cantons of Jura, Schwyz, Graubünden and the Principality of Liechtenstein.No liability is accepted for the accuracy, completeness or up-to-dateness of the route and trail data, and any liability for the use of this data is excluded. The signage and the weather and trail or route conditions on site are decisive. 5.140242 45.398181 11.47757 48.230651 ch.astra.winterwanderwege image/png Time current current 2056_25 PCP Inventory Around 3400 objects (individual buildings, collections in museums, archives and libraries and archaeological objects) are categorised as cultural property of national importance in the 2021 edition of the Inventory. 5.140242 45.398181 11.47757 48.230651 ch.babs.kulturgueter image/png Time current current 2056_26 Alps with livestock guardian dogs The return of large predators to Switzerland has led to the use of livestock guardian dogs on our alpine pastures. Herd guards are used to protect livestock against larger predators (e.g., wolf, bear). The Federal Office for the Environment promotes the protection of the herds with herd protection dogs under the following conditions: the dogs must be well trained and kept (see JSV Article 10 quarter). The Confederation commissioned AGRIDEA to lead the herd protection program. At present about 350 officially recognized herd protection dogs are used in Switzerland. They are stationed on alpine pastures with a high risk of danger by large predators. The majority of the dogs are used to protect sheep and goats, while some are used to protect cow herds. Pastures protected by official herd shelters are collected in this geodataset to be visualized. 5.140242 45.398181 11.47757 48.230651 ch.bafu.alpweiden-herdenschutzhunde image/png Time current current 2056_26 Amphibian migration conflicts Since the mid-1950s, the number of amphibians being killed on roads has increased dramatically. Every year, hundreds of thousands of amphibians cross roads in Switzerland during their migration between land habitats and spawning grounds and are often killed on the roads if there are no protective measures in place. Not only is this a safety problem for traffic, but it is also causing massive declines in amphibian populations. Migration within populations always occurs along more or less the same migration routes. Migration is seasonal and allows temporary use of different, spatially distinct habitat types. These migration movements are essential to the survival of the populations. Info fauna karch keeps a database of conflict sites between amphibian migration and transport infrastructure. There are currently just under 2,000 known conflict sites, known as “amphibian migration sites”. Depending on the size of the amphibian population, traffic density and the possibilities on site, the protection measures included here are implemented, such as installing small animal tunnels and guiding devices, temporary amphibian fences, temporary road closures or temporary patrols. The known conflict sites of amphibian migration in Switzerland are included in this geodata set and can be visualised. 5.140242 45.398181 11.47757 48.230651 ch.bafu.amphibienwanderung-verkehrskonflikte image/png Time current current 2056_26 Areas of flooding Aquaprotect 50 The areas of flooding included in “Aquaprotect” take the form of a rough overview (prepared with the aid of basic methods) of areas of Switzerland that are susceptible to damage caused by occasional and very infrequent flooding. This is intended as a rough overview of the risks and hazards, and therefore does not replace the detailed risk maps (<http://www.bafu.admin.ch/gefahrenkarten>). For example, it does not take existing flood protection measures into account, and in the event of not yet available risk maps it merely permits an approximate assessment of potential flood damage.The areas of flooding included in “Aquaprotect” concern floods in recurrence periods of 50, 100, 250 and 500 years. For example, a flood with a recurrence period of 100 years refers to a level of flooding which, viewed over a very lengthy timeframe, is reached on average once every 100 years. The fact that a given area is not included in “Aquaprotect” does not mean that there is no risk of flooding in that area. Due to the simplified method that is applied, only a rough overview is provided. At more detailed scales than 1:50,000, areas susceptible to flooding are only depicted with the aid of shading. The aim here is to avoid misinterpretation due to insufficiently accurate depiction. 5.140242 45.398181 11.47757 48.230651 ch.bafu.aquaprotect_050 image/png Time current current 2056_26 Areas of flooding Aquaprotect 100 The areas of flooding included in “Aquaprotect” take the form of a rough overview (prepared with the aid of basic methods) of areas of Switzerland that are susceptible to damage caused by occasional and very infrequent flooding. This is intended as a rough overview of the risks and hazards, and therefore does not replace the detailed risk maps (<http://www.bafu.admin.ch/gefahrenkarten>). For example, it does not take existing flood protection measures into account, and in the event of not yet available risk maps it merely permits an approximate assessment of potential flood damage.The areas of flooding included in “Aquaprotect” concern floods in recurrence periods of 50, 100, 250 and 500 years. For example, a flood with a recurrence period of 100 years refers to a level of flooding which, viewed over a very lengthy timeframe, is reached on average once every 100 years. The fact that a given area is not included in “Aquaprotect” does not mean that there is no risk of flooding in that area. Due to the simplified method that is applied, only a rough overview is provided. At more detailed scales than 1:50,000, areas susceptible to flooding are only depicted with the aid of shading. The aim here is to avoid misinterpretation due to insufficiently accurate depiction. 5.140242 45.398181 11.47757 48.230651 ch.bafu.aquaprotect_100 image/png Time current current 2056_26 Areas of flooding Aquaprotect 250 The areas of flooding included in “Aquaprotect” take the form of a rough overview (prepared with the aid of basic methods) of areas of Switzerland that are susceptible to damage caused by occasional and very infrequent flooding. This is intended as a rough overview of the risks and hazards, and therefore does not replace the detailed risk maps (<http://www.bafu.admin.ch/gefahrenkarten>). For example, it does not take existing flood protection measures into account, and in the event of not yet available risk maps it merely permits an approximate assessment of potential flood damage.The areas of flooding included in “Aquaprotect” concern floods in recurrence periods of 50, 100, 250 and 500 years. For example, a flood with a recurrence period of 100 years refers to a level of flooding which, viewed over a very lengthy timeframe, is reached on average once every 100 years. The fact that a given area is not included in “Aquaprotect” does not mean that there is no risk of flooding in that area. Due to the simplified method that is applied, only a rough overview is provided. At more detailed scales than 1:50,000, areas susceptible to flooding are only depicted with the aid of shading. The aim here is to avoid misinterpretation due to insufficiently accurate depiction. 5.140242 45.398181 11.47757 48.230651 ch.bafu.aquaprotect_250 image/png Time current current 2056_26 Areas of flooding Aquaprotect 500 The areas of flooding included in “Aquaprotect” take the form of a rough overview (prepared with the aid of basic methods) of areas of Switzerland that are susceptible to damage caused by occasional and very infrequent flooding. This is intended as a rough overview of the risks and hazards, and therefore does not replace the detailed risk maps (<http://www.bafu.admin.ch/gefahrenkarten>). For example, it does not take existing flood protection measures into account, and in the event of not yet available risk maps it merely permits an approximate assessment of potential flood damage.The areas of flooding included in “Aquaprotect” concern floods in recurrence periods of 50, 100, 250 and 500 years. For example, a flood with a recurrence period of 100 years refers to a level of flooding which, viewed over a very lengthy timeframe, is reached on average once every 100 years. The fact that a given area is not included in “Aquaprotect” does not mean that there is no risk of flooding in that area. Due to the simplified method that is applied, only a rough overview is provided. At more detailed scales than 1:50,000, areas susceptible to flooding are only depicted with the aid of shading. The aim here is to avoid misinterpretation due to insufficiently accurate depiction. 5.140242 45.398181 11.47757 48.230651 ch.bafu.aquaprotect_500 image/png Time current current 2056_26 Floodplains outside the federal inventary Of all the floodplains mapped throughout Switzerland, the objects which have not been included in the federal inventory have been compiled in this dataset. A distinction has been made between objects that did not meet the assessment criteria for inclusion in the federal inventory (Quality II) and potentially nationally significant objects that have not, or not yet been included in the inventory (Quality I). 5.140242 45.398181 11.47757 48.230651 ch.bafu.auen-ausserhalb_bundesinventar image/png Time current current 2056_26 Alp. Floodplains outside Fed. Inv. As past of the systematic inventory of flood plains, properties that were until recently not evaluated as having national significance will also be included in the federal inventory. As a general rule, these properties have undergone a selection and evaluation process and show specific qualities that can have regional or local significance. The FOEN publishes them as properties outside the Federal Inventory so they can be assessed by the responsible specialist agencies and the interested public. 5.140242 45.398181 11.47757 48.230651 ch.bafu.auen-ausserhalb_bundesinventar_alpin image/png Time current current 2056_27 Floodplains vegetation maps In order to give cantons the option of taking the protection of floodplains of probable national importance into their own hands as quickly as possible, the Swiss Agency for the Environment, Forests and Landscape had a version of detailed vegetation mappings drawn up for the cantons showing all the objects to be reviewed. In the same way, vegetation maps were subsequently drawn up for the majority of the objects that were enlarged after the consultation process. A large number of these objects, as well as all of those newly included in the inventory as part of the second and third update and the 2007 revision (without alpine floodplains) were mapped with the help of photogrammetric infra-red aerial photographs according to the same system. 5.140242 45.398181 11.47757 48.230651 ch.bafu.auen-vegetationskarten image/png Time current current 2056_26 Biogeographical regions The basis for establishing the biogeographical regions (in 6 or 12 classes) were the homogeneous surfaces of the river basins, where relevant and adequately extensive species information from the Info Fauna, Info Flora, Swiss Ornithological Institute and Bryophyte data centres was analysed and classified by groups of similarity. The fauna data were processed based on the Wohlgemuth method (1996), with the addition of further procedures for calculating indices of dissimilarity, species matrices and tests. The majority of the analyses were carried out with the help of the R open source software. As a first step, the results were presented in six groups, and then in twelve groups as a second step. With a few exceptions, the boundaries of catchment areas were formed (FOEN, Hydrology Division, partial catchment areas 40 km² / 2 km², status 2020): In a minority of cases, topographical criteria and expert advice were used. 5.140242 45.398181 11.47757 48.230651 ch.bafu.biogeographische_regionen image/png Time current current 2056_26 Amphibians stationary objects There are currently 19 different amphibian species that live in Switzerland, and nearly all of them are included in the Red List of Threatened Species. The areas that contain wetland habitats have shrunken to less than one-tenth of their original size in the last 100 years, which is why remaining habitats must be protected. Most species prefer small still bodies of water, such as pools and ponds, for spawning. In addition to small pools and major wetland complexes, gravel and clay pits make up a large portion (approximately one-fifth of all objects) of the inventory. Due to their use, they have developed into nature-near sites that should be protected. The stationary objects are divided up into different spawning sites: Site A implies conservation sites. Site B includes narrower land habitats and buffer zones. These areas are mostly used for agriculture and forestry. Shifting spawning sites include used pits, in which the dynamic condition for conservation of future amphibian stocks should be preserved. As the fourth federal inventory under Article 18a NCHA, in 2001 the Federal Council implemented the Federal Inventory of Amphibian Spawning Sites with 701 sites. The inventory was expanded in 2003, 2007, 2017 and 2025 and now contains 969 objects. 5.140242 45.398181 11.47757 48.230651 ch.bafu.bundesinventare-amphibien image/png Time current current 2056_26 Amphibians appendix 3 There are currently 19 different amphibian species that live in Switzerland, and nearly all of them are included in the Red List of Threatened Species. The areas that contain wetland habitats have shrunken to less than one-tenth of their original size in the last 100 years, which is why remaining habitats must be protected. Most species prefer small still bodies of water, such as pools and ponds, for spawning. In addition to small pools and major wetland complexes, gravel and clay pits make up a large portion (approximately one-fifth of all objects) of the inventory. Due to their use, they have developed into nature-near sites that should be protected. The stationary objects are divided up into different spawning sites: Site A implies conservation sites. Site B includes narrower land habitats and buffer zones. These areas are mostly used for agriculture and forestry. Shifting spawning sites include used pits, in which the dynamic condition for conservation of future amphibian stocks should be preserved. As the fourth federal inventory under Article 18a NCHA, in 2001 the Federal Council implemented the Federal Inventory of Amphibian Spawning Sites with 701 sites. The inventory was expanded in 2003, 2007, 2017 and 2025 and now contains 969 objects. 5.140242 45.398181 11.47757 48.230651 ch.bafu.bundesinventare-amphibien_anhang4 image/png Time current current 2056_26 Amphibians shifting sites There are currently 19 different amphibian species that live in Switzerland, and nearly all of them are included in the Red List of Threatened Species. The areas that contain wetland habitats have shrunken to less than one-tenth of their original size in the last 100 years, which is why remaining habitats must be protected. Most species prefer small still bodies of water, such as pools and ponds, for spawning. In addition to small pools and major wetland complexes, gravel and clay pits make up a large portion (approximately one-fifth of all objects) of the inventory. Due to their use, they have developed into nature-near sites that should be protected. The stationary objects are divided up into different spawning sites: Site A implies conservation sites. Site B includes narrower land habitats and buffer zones. These areas are mostly used for agriculture and forestry. Shifting spawning sites include used pits, in which the dynamic condition for conservation of future amphibian stocks should be preserved. As the fourth federal inventory under Article 18a NCHA, in 2001 the Federal Council implemented the Federal Inventory of Amphibian Spawning Sites with 701 sites. The inventory was expanded in 2003, 2007, 2017 and 2025 and now contains 969 objects. 5.140242 45.398181 11.47757 48.230651 ch.bafu.bundesinventare-amphibien_wanderobjekte image/png Time current current 2056_26 Floodplains Floodplains, namely natural habitats in the flood zones of watercourses, are in decline. The scientific inventory of floodplains was commissioned by the FDHA in May 1981 and compiled by vegetation research group of the Swiss Federal Institute for Foresty (now FSL). In accordance with Article 18a of the Federal Act of 1 July 1966 on the Protec-tion of Nature and Cultural Heritage (NCHA), which came into force on 1 February 1988, the Federal Council designates biotopes of national importance, assesses their situa-tion and sets conservation objectives for them. However, this occurs after the cantons have been heard. As the second federal inventory under Article 18a NCHA, in 1992 the Federal Council implemented the Federal Inventory of Floodplains with 169 floodplain sites. It has been expanded in 2001, 2003, 2007 and 2017. Between 1995 and 1997, the Inventory of Glacier Forelands and Alpine Floodplains (IGLES), a scientific inventory, developed the bases for the first expansion. Currently 326 objects are contained in the inventory and protected by law. 5.140242 45.398181 11.47757 48.230651 ch.bafu.bundesinventare-auen image/png Time current current 2056_26 Floodplains - Appendix 2 Floodplains, namely natural habitats in the flood zones of watercourses, are in decline. The scientific inventory of floodplains was commissioned by the FDHA in May 1981 and compiled by vegetation research group of the Swiss Federal Institute for Foresty (now FSL). In accordance with Article 18a of the Federal Act of 1 July 1966 on the Protec-tion of Nature and Cultural Heritage (NCHA), which came into force on 1 February 1988, the Federal Council designates biotopes of national importance, assesses their situa-tion and sets conservation objectives for them. However, this occurs after the cantons have been heard. As the second federal inventory under Article 18a NCHA, in 1992 the Federal Council implemented the Federal Inventory of Floodplains with 169 floodplain sites. It has been expanded in 2001, 2003, 2007 and 2017. Between 1995 and 1997, the Inventory of Glacier Forelands and Alpine Floodplains (IGLES), a scientific inventory, developed the bases for the first expansion. Currently 326 objects are contained in the inventory and protected by law. 5.140242 45.398181 11.47757 48.230651 ch.bafu.bundesinventare-auen_anhang2 image/png Time current current 2056_26 ILNM Article 5 of the Federal Act of 1 July 1966 on the Protection of Nature and Cultural Heritage (NCHA) orders the Federal Council to compile inventories of sites of national importance (federal inventories). The cantons must be heard when these inventories are enacted. The Federal Inventory of Landscapes and Natural Monuments of National Importance (ILNM) is the first federal inventory under the NCHA. The preliminary stage is the CLN Inventory (Inventory of Landscapes and Natural Monuments of National Importance), a reference whose first edition was released by private organizations in 1963 and has been periodically expanded and revised. The ILNM inventory has gradually taken legal effect. To date, the Federal Council has approved four inventory development series: the first series in 1977 with 65 sites; the second series in 1983 with 54 sites; the third series in 1996 with 33 sites and 11 revised sites; and the fourth series in 1998 with 9 sites and 15 revised sites. In the 2017 revision a surface exchange between the objects 1605 and 1606 was made. 5.140242 45.398181 11.47757 48.230651 ch.bafu.bundesinventare-bln image/png Time current current 2056_26 Fens Fens are vestiges of earlier natural and cultural landscapes and are in sharp decline. They are home to highly-adapted symbiotic communities of plants and animals that include a large number of endangered plant and animal species. The scientific fen inventory was conducted from 1987 to 90 by a work group on behalf of the FDHA. Under Art. 18a of Article 18a of the Federal Act of 1 Juli 1966 on the Protection of Nature and Cultural Heritage (NCHA), the Federal Council designates the biotopes of national importance, assesses their situation and sets conservation objectives for them. However, this occurs only after the cantons have been heard. In 1994, the Federal Council implemented the Fen Ordinance with the federal inventory, whose first series contained 728 sites. Its second series with 364 sites followed in 1997, and the third and final series with 71 sites in 1998. Some of the sites were revised in 2001, 2004, 2007, 2017, 2021 and 2025. The inventory now contains 1371 Objects. 5.140242 45.398181 11.47757 48.230651 ch.bafu.bundesinventare-flachmoore image/png Time current current 2056_26 Raised bogs Raised bogs are some of the most susceptible habitats in Switzerland and are in sharp decline. Today, between 10% and 20% of the original stocks still exist. The scientific inventory of raised bogs was compiled from 1978 to 1984 by the Agricultural Division of the WSL (Swiss Federal Institute for Forest, Snow and Landscape Research) on behalf of Pro Natura Helvetica. Under Article 18a of the Federal Act of 1 July 1966 on the Protection of Nature and Cultural Heritage (NCHA), which came into force in 1 February 1988, the Federal Council designates the biotopes of national importance, assesses their situation and sets conservation objectives for them. However, this occurs only after the cantons have been heard. As the first federal inventory under Art. 18a NCHA, the Federal Council implemented the raised and transition bog inventory with 514 sites in 1991. It was expanded in 2003 by a second series and revised in 2007, 2017 and 2025. It now has 552 sites. 5.140242 45.398181 11.47757 48.230651 ch.bafu.bundesinventare-hochmoore image/png Time current current 2056_26 Hunting Ban Reserves Federal hunting bans have existed since 1875 and served the purpose of raising the populations of chamois, red deer and roe deer as well as ibex (cloven-hoofed game), which had become rare at that time due to persecution by hunting and competition from cattle. The present situation is characterized by high and partly overshot populations of cloven-hoofed game with the resulting game damage problems on the one hand, and by the decline of sensitive species such as capercaillie, rock partridge, grey partridge and brown hare on the other. On April 1, 1988, the Federal Law on Hunting and the Protection of Wild Mammals and Birds (NHG, June 20, 1986) came into force. This also marked the beginning of the revision of the Ordinance on Banned Areas, which dates back to 1962. Today, these are aimed at regulating the populations of deer, roe deer, chamois and ibex, as well as protecting and promoting rare species and their habitats. The inventory contains 43 objects, some of which have been slightly modified since 1992. One object is added is 2023. 5.140242 45.398181 11.47757 48.230651 ch.bafu.bundesinventare-jagdbanngebiete image/png Time current current 2056_26 Mire landscapes Mire landscapes are essentially semi-natural landscapes shaped by mires that are also home to other noteworthy natural and cultural elements. They are the last remaining habitats for various animal and plant species. The scientific mire landscape inventory was compiled from 1987 to 1990 by Hintermann & Weber AG on behalf of the FDHA. Under Art. 23b of the Federal Act of 1 July 1966 on the Protection of Nature and Cultural Heritage (NCHA), the Federal Council designates the mire landscapes of particular beauty and national importance in consideration of existing settlements and uses and assesses their situation. It also works closely with the cantons and hears the property owners concerned. In 1996, the Federal Council enacted the protection of mire landscapes provision that contained an appendix with a federal inventory of 88 sites. It was first revised in 2001 at the request of the Canton of Vaud, followed by a second revision that including the definitive entry of the Grimsel site in 2004, and two other revisions in 2007, 2015 and 2017. It counts now 89 sites. 5.140242 45.398181 11.47757 48.230651 ch.bafu.bundesinventare-moorlandschaften image/png Time current current 2056_26 Dry grasslands (DGS) Dry grasslands are habitats with a wide variety of species that are marked by agricultural use. In accordance with the Federal Act on Protecting Nature and Cultural Heritage, the most important areas are mapped and assessed so that greater statutory protection can be granted to them through a federal inventory. Since the end of the 19th century, the stock of dry grasslands has decreased by about 90%. At the same time, indigenous species in these habitats are increasingly under pressure: Today, nearly 40% of all plant species and 50% of all animal species that depend on dry grassland sites are included in the Red List. The Federal Inventory of dry grassland sites contains 4083 sites. 5.140242 45.398181 11.47757 48.230651 ch.bafu.bundesinventare-trockenwiesen_trockenweiden image/png Time current current 2056_26 Dry grasslands appendix 2 Dry grasslands are habitats with a wide variety of species that are marked by agricultural use. In accordance with the Federal Act on Protecting Nature and Cultural Heritage, the most important areas are mapped and assessed so that greater statutory protection can be granted to them through a federal inventory. Since the end of the 19th century, the stock of dry grasslands has decreased by about 90%. At the same time, indigenous species in these habitats are increasingly under pressure: Today, nearly 40% of all plant species and 50% of all animal species that depend on dry grassland sites are included in the Red List. The Federal Inventory of dry grassland sites contains 4083 sites. 5.140242 45.398181 11.47757 48.230651 ch.bafu.bundesinventare-trockenwiesen_trockenweiden_anhang2 image/png Time current current 2056_26 Water & migrant bird reserves Switzerland is especially important as a wintering and resting site for various migratory waterbirds. As a result, in 1974 the Federal Council signed a convention on watercourses and wetlands of international importance that was concluded in 1971 in Ramsar (Ramsar Convention). It was ratified by the Federal Parliament in 1975. An inventory of waterbird reserves of international importance was developed for Switzerland in 1976 based on earlier criteria. The Swiss Ornithological Institution in Sempach submitted the second revised version of this inventory in 1995, which included reserves of national importance. Under Article 11 of the new Federal Act of 20 June 1986 on the Hunting and Protection of Wild Mammals and Birds (HuntA), the federal government is required to exclude reserves of waterbirds and migratory birds of international importance. After being revised in 1992, 2001, 2009, 2015 and 2023, the current inventory contains the most important sites included in the inventory of the Swiss Ornithological Institute, of which 10 are of international importance and 25 are of national importance. 5.140242 45.398181 11.47757 48.230651 ch.bafu.bundesinventare-vogelreservate image/png Time current current 2056_26 Erosion risk permanent grassland Apr. Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tonnes per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha⁻¹ h⁻¹ month⁻¹) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion. 5.140242 45.398181 11.47757 48.230651 ch.bafu.erosion-gruenland_bodenabtrag_apr image/png Time current current 2056_25 Erosion risk permanent grassland Aug. Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha⁻¹ h⁻¹ month⁻¹) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion. 5.140242 45.398181 11.47757 48.230651 ch.bafu.erosion-gruenland_bodenabtrag_aug image/png Time current current 2056_25 Erosion risk permanent grassland Dec. Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha⁻¹ h⁻¹ month⁻¹) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion. 5.140242 45.398181 11.47757 48.230651 ch.bafu.erosion-gruenland_bodenabtrag_dez image/png Time current current 2056_25 Erosion risk permanent grassland Feb. Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha⁻¹ h⁻¹ month⁻¹) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion. 5.140242 45.398181 11.47757 48.230651 ch.bafu.erosion-gruenland_bodenabtrag_feb image/png Time current current 2056_25 Erosion risk permanent grassland Jan. Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively. The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha⁻¹ h⁻¹ month⁻¹) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion. 5.140242 45.398181 11.47757 48.230651 ch.bafu.erosion-gruenland_bodenabtrag_jan image/png Time current current 2056_25 Erosion risk permanent grassland July Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha⁻¹ h⁻¹ month⁻¹) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion. 5.140242 45.398181 11.47757 48.230651 ch.bafu.erosion-gruenland_bodenabtrag_jul image/png Time current current 2056_25 Erosion risk permanent grassland June Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha⁻¹ h⁻¹ month⁻¹) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion. 5.140242 45.398181 11.47757 48.230651 ch.bafu.erosion-gruenland_bodenabtrag_jun image/png Time current current 2056_25 Erosion risk permanent grassland May Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha⁻¹ h⁻¹ month⁻¹) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion. 5.140242 45.398181 11.47757 48.230651 ch.bafu.erosion-gruenland_bodenabtrag_mai image/png Time current current 2056_25 Erosion risk permanent grassland Mar. Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha⁻¹ h⁻¹ month⁻¹) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion. 5.140242 45.398181 11.47757 48.230651 ch.bafu.erosion-gruenland_bodenabtrag_mrz image/png Time current current 2056_25 Erosion risk permanent grassland Nov. Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha⁻¹ h⁻¹ month⁻¹) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion. 5.140242 45.398181 11.47757 48.230651 ch.bafu.erosion-gruenland_bodenabtrag_nov image/png Time current current 2056_25 Erosion risk permanent grassland Oct. Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha⁻¹ h⁻¹ month⁻¹) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion. 5.140242 45.398181 11.47757 48.230651 ch.bafu.erosion-gruenland_bodenabtrag_okt image/png Time current current 2056_25 Erosion risk permanent grassland Sep. Monthly soil erosion risk maps for Swiss permanent grassland with a spatial resolution of 100m. The maps show the average soil loss in tons per hectare and month. Shades of green, yellow and red mean a low, average and high risk of erosion, respectively.The monthly soil erosion risk maps were calculated using the Revised Universal Soil Loss Equation (RUSLE). For this RUSLE application, the monthly dynamic of the rainfall erosivity factor (R-factor) and cover and management factor (C-factor) was considered as follows: A(month)= R(month)*K*C(month)*L*S*P where A(month) is the soil loss in tons per hectare and month and R(month) and C(month) are the monthly R-factor (MJ mm ha⁻¹ h⁻¹ month⁻¹) and C-factor (dimensionless). The other erosion factors are soil erodibility (K-factor), slope length (L-factor), slope steepness (S-factor) and support practices (P-factor). The RUSLE factors were tailored to the specific environmental conditions of Swiss permanent grassland. The P-factor was included in the calculation as a constant with value 1 due to a lack of spatial information on grazing management and its effect on soil erosion. 5.140242 45.398181 11.47757 48.230651 ch.bafu.erosion-gruenland_bodenabtrag_sep image/png Time current current 2056_25 Ibex colonies After being resettled in 1906, Alpine (Capra) ibex live in colonies of varying sizes throughout the Alpine region and in the Jura mountains. Because the growth of stocks in specific colonies had negative effects on other species and vegetation, regulatory measures were taken. The regulations concerning the hunting quota for ibex stocks are based on the Federal Act of 20 June 1986 on the Hunting and Protection of Wild Mammals and Birds. The colonies are counted in accordance with the provisions on stocktaking of the Ordinance of 30 April 1990 on the Regulation of Capra Stocks, which is used in addition to stocktaking to set hunting quotas. 5.140242 45.398181 11.47757 48.230651 ch.bafu.fauna-steinbockkolonien image/png Time current current 2056_26 Wildlife network system First, known wildlife corridors were recorded from existing data at the cantonal level, and potential corridors were detected by GIS and then divided into wildlife corridors of national, regional and local interest. Then, the main features of the interregional and regional network system were envisioned throughout Switzerland. Next, the corridors were classified as wildlife corridors of interregional or regional interest based on the importance of the axis on which they are located. The data for the connecting axes and wildlife corridors were detected and processed using GIS by the Swiss Ornithological Institute in Sempach. The corridors of interregional importance and the axes were modified 2012 by the FOEN based on the information of the cantonal hunting agencies. 5.140242 45.398181 11.47757 48.230651 ch.bafu.fauna-vernetzungsachsen_national image/png Time current current 2056_26 Interregional wildlife corridor First, known wildlife corridors were recorded from existing data at the cantonal level, and potential corridors were detected by GIS and then divided into wildlife corridors of interregional, regional and local interest. Then, the main features of the interregional and regional network system were envisioned throughout Switzerland. Next, the corridors were classified as wildlife corridors of interregional or regional interest based on the importance of the axis on which they are located. The data for the connecting axes and wildlife corridors were detected and processed using GIS by the Swiss Ornithological Institute in Sempach. The corridors of interregional importance and the axes were modified 2012 by the FOEN based on the information of the cantonal hunting agencies. 5.140242 45.398181 11.47757 48.230651 ch.bafu.fauna-wildtierkorridor_national image/png Time current current 2056_26 Wildlife Passages - 5.140242 45.398181 11.47757 48.230651 ch.bafu.fauna-wildtierpassagen image/png Time current current 2056_26 Total bedload database (CH) A bedload transport database for surface waters throughout Switzerland. Following the devastating events of the summer of 1987, which caused major damage in many regions of Switzerland, the Operational Hydrology Working Group (GHO) proposed that a bedload transport database should be set up. The SOLID database was developed by the FOEN in collaboration with the cantonal authorities and research institutes, which provide data on the amount of material transported or deposited in sediment traps. The amounts are estimated with the aid of measuring instruments or by emptying these traps. The SOLID database comprises records from about a hundred sediment traps. 5.140242 45.398181 11.47757 48.230651 ch.bafu.feststoffe-geschiebemessnetz image/png Time current current 2056_26 Graylings: core areas The data on grayling populations of national importance includes three subproducts; the core zones layer includes the areas of particular importance for grayling populations, based on biological and/or ecomorphological characteristics at fisheries. The core data come from the atlas of fish and cyclostome distribution in Switzerland (Pedroli et al. 1991), cantonal catch statistics and information from the cantonal management of fisheries. 5.140242 45.398181 11.47757 48.230651 ch.bafu.fischerei-aeschen_kernzonen image/png Time current current 2056_26 Graylings: spawning grounds The data on grayling populations of national importance includes four sub-products; the spawning grounds layer includes the areas in which natural reproduction occurs. The core data come from the atlas of fish and cyclostome distribution in Switzerland (Pedroli et al. 1991), cantonal catch statistics and information from the cantonal management of fisheries. 5.140242 45.398181 11.47757 48.230651 ch.bafu.fischerei-aeschen_laichplaetze image/png Time current current 2056_26 Graylings: larva habitats The data on grayling populations of national importance includes four subproducts; the larva habitats layer includes the areas in which larva were monitored. The core data come from the atlas of fish and cyclostome distribution in Switzerland (Pedroli et al. 1991), cantonal catch statistics and information from cantonal management of fisheries. 5.140242 45.398181 11.47757 48.230651 ch.bafu.fischerei-aeschen_larvenhabitate image/png Time current current 2056_26 Grayling: distribution area The data on grayling populations of national im-portance includes four subproducts; the distribution area layer includes the sections of watercourses with 20 major grayling populations of national importance. The core data come from the atlas of fish and cyclostome distribution in Switzerland (Pedroli et al. 1991), cantonal catch statistics and information from the cantonal management of fisheries. 5.140242 45.398181 11.47757 48.230651 ch.bafu.fischerei-aeschen_verbreitungsgebiet image/png Time current current 2056_26 Crayfish plague Proof of the crayfish plague in Switzerland: Geo-referenced locations of populations with test results. The most cataclysmic disease for the European species is the crayfish plague (cause: aphanomyces astaci; oamycetes). This fungis was brought over from the Americas to Europe in 1880 and destroyed the majority of native European crayfish stocks since the European crayfish species die from it. However, the American species can carry the fungus and infect populations of local species by excreting spores into the water. This disease emerges irregularly every once in awhile in Switzerland. 5.140242 45.398181 11.47757 48.230651 ch.bafu.fischerei-krebspest image/png Time current current 2056_26 Nase spawning grounds The data includes the coordinates of spawning grounds in Switzerland (around 100 sites) as well as the average number of breeding animals (10-year average). The FOEN conducted a nationwide nase monitoring program between 1995 and 2004 in collaboration with cantonal fishery authorities. This involved determining the reproductive potential of this highly endangered fish that is protected across Europe under the Bern Convention. 5.140242 45.398181 11.47757 48.230651 ch.bafu.fischerei-nasenlaichplaetze image/png Time current current 2056_26 PKD (proliferative kidney disease) The list provides information about this disease and names the bodies of water where PKD (proliferative kidney disease) had been detected in fish. The diagnosis is based on the detection of the causative agent in histological slides (prepared at the centre for fish and wildlife medicine - Zentrum für Fisch- und Wildtiermedizin). The list reflects knowledge on the spread of the disease. 5.140242 45.398181 11.47757 48.230651 ch.bafu.fischerei-proliferative_nierenkrankheit image/png Time current current 2056_26 Quaking bogs The inventory of quaking bogs in Switzerland contains discovered primary quaking bogs of a specific minimum size with transition and raised bog characteristics (83 bogs). This inventory is an improved version of the inventory of raised bogs, transition mires and fens and takes better account of the smallest quaking bogs. Quaking bogs are composed of a floating mat of thickly woven peat that is saturated with water and shakes when walked on. The objects are generated by the data base by entering their centre coordinates (geographical coordinates). 5.140242 45.398181 11.47757 48.230651 ch.bafu.flora-schwingrasen image/png Time current current 2056_26 Welten&Sutter atlas From 1967 to 1979, Switzerland’s ferns and flowering plants were mapped as part of the work on a distribution atlas.For that purpose, the country was divided into 593 different zones, whereby distribution was determined based on topographical considerations. 350 valley, 215 mountain and 28 water zones were defined. The natural forest boundary served in most cases as the boundary between valley and mountain zones. 5.140242 45.398181 11.47757 48.230651 ch.bafu.flora-weltensutter_atlas image/png Time current current 2056_26 Stream order The stream order according to Strahler specifies the degree of branching of a hydrographic network. It forms the basis for morphological studies and descriptions of a watercourse. --- According to Strahler, watercourse sources are assigned a stream order of 1. If two tributaries of the same stream order join, the order increases by 1. The Rhine and the River Aare have a stream order of 9, whereas the Rhône has a stream order of 7. --- The stream order was calculated using the VECTOR25 hydrographic network. 5.140242 45.398181 11.47757 48.230651 ch.bafu.flussordnungszahlen-strahler image/png Time current current 2056_26 Overland flow map The areas affected by overland flow were determined using a simplified method the over entire Switzerland and Liechtenstein. They were determined by modelling without any verification in the field. The map shows areas that are potentially affected by rare to very rare events. It provides a rough overview of the hazard of overland flow. It does neither take into account flooding due to overflowing watercourses, nor due to protective structures or culverts under roads or embankments (e.g. railway embankment appear according to the DTM as dykes without vaults). This map allows - in the absence of a more detailed hazard map - a rough assessment of the hazardous overland flow. The return period of the event represented is estimated to be larger than 100 years - an event that, over a long period of observation, would appear on average once every 100 years. It cannot be ruled out that areas not affected by the hazard map may be affected. It has to be used on a scale coarser than 1: 12,500 (Liechtenstein: 1:10,000) because of the potential for misinterpretation of affected and unaffected areas respectively. The map is not legally binding. The cantons are free to use it as an indicative hazard map and publish it on their cantonal geoportals. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gefaehrdungskarte-oberflaechenabfluss image/png Time current current 2056_27 Seismic subsoil classes The site class is a required indication to determine the seismic action for a structure according to the building code SIA 261. The maps of site classes are indicative maps and are not parcel-specific. In case of uncertainties, the site class is mapped on the safe side. The maps are primarily useful in the context of preliminary studies. When planning construction projects, the plausibility of the site class must be verified on the basis of local studies. In case of differences, the site class based on local investigations should be used. The maps of seismic site classes are prepared and updated by the cantons on their own initiative based on the methodological guidelines of the FOEN. In agreement with the cantons FOEN makes these maps available centrally. Any requests for corrections or comments must be addressed to the respective cantons, except for the city of Bern and the St-Galler Rheintal (FOEN pilot maps). * Most maps are based on the description of the site classes of the SIA 261 building code, 2003 edition. This description was adapted in 2014. Differences in the description of the site classes between the currently valid building code SIA 261:2020 and the 2003 edition must therefore be taken into account. The reference building code (SIA261:2003 or SIA 261:2020) for mapping is given in the object information. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gefahren-baugrundklassen image/png Time current current 2056_26 Seismic zones SIA 261 Map of seismic zones from the SIA 261 Standard “Actions on Structures” (2020). A design value is specified for the horizontal ground acceleration agd (in m/s2). This design value is required for the seismic design of load-bearing structures in accordance with the SIA standards. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gefahren-gefaehrdungszonen image/png Time current current 2056_26 Historical earthquakes ECOS09 is the earthquake catalogue of Switzerland and bordering regions. It integrates the following sources: - Macroseismic Earthquake Catalogue of Switzerland (MECOS 02) with events since 250 a.d. – the yearly reports of the Swiss Earthquake Commission since 1879 – earthquake locations of the instrumental networks of the Swiss Earthquake Service (SED) since 1975 – Supplemented by 12 earthquake catalogues from neighbouring countries and international agencies. This data show a selection of earthquakes in Switzerland with a minimum intensity of VI (buildings lightly damaged) from the ECOS09 catalogue. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gefahren-historische_erdbeben image/png Time current current 2056_26 Spectral micro-zoning Perimeters for which a spectral seismic micro-zonation study is available with links to further information. The amplification of seismic waves through the local geology is modeled in a seismic spectral micro-zoning study. Local seismic amplification functions and response spectrums are determined as a result. These response spectrums can be used to determine the earthquake loads on buildings instead of the response spectrums of standard SIA 261. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gefahren-spektral image/png Time current current 2056_26 Concentrations of Antimony in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_antimon image/png Time current current 2056_26 Concentration of Arsenic in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_arsen image/png Time current current 2056_26 Concentrations of Lead in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_blei image/png Time current current 2056_26 Concentrations of Cadmium in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_cadmium image/png Time current current 2056_26 Concentration of Calcium in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_calcium image/png Time current current 2056_26 Concentration of Chromium in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_chrom image/png Time current current 2056_26 Concentrations of Cobalt in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_cobalt image/png Time current current 2056_26 Concentration of Iron in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_eisen image/png Time current current 2056_26 Concentrations of Copper in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_kupfer image/png Time current current 2056_26 Concentrations of Magnesium in the soil Interpolated element concentrations (mg/kg fine soil) in the topsoil (0-20 cm) of Switzerland. For the Ordinary Kriging interpolations (1 km x 1 km), measurement data from a total of 1,201 sites of the Swiss Biodiversity Monitoring, the National Soil Monitoring and the European Geochemical Soil Atlas were taken into account. The element concentrations were analyzed in aqua regia digests (HNO₃:HCl:H₂O) of dried (40°C), sieved (< 2 mm) and subsequently ground soil samples using inductively coupled plasma mass spectrometry. Sites with known anthropogenic overprinting of element concentrations (point sources) were excluded in advance. The results of the geochemical soil atlas are a snapshot of the element concentrations in the topsoils of Switzerland (sampling period 2011-2015). The interpolated maps serve to improve the visualization of regions with elevated or low concentrations. However, no plot-specific information or definitive conclusions on the geology, bioavailability, percentage distribution of geogenic and anthropogenic sources or soil contamination can be derived from them. Citation of the publication: J. E. Reusser, M. B. Siegenthaler, L. H. E. Winkel, D. Wächter, R. Kretzschmar, R. G. Meuli: Geochemischer Bodenatlas der Schweiz. Agroscope; Zürich, 2023. 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_magnesium image/png Time current current 2056_26 Concentrations of Manganese in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_mangan image/png Time current current 2056_26 Concentrations of Molybdenum in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_molybdaen image/png Time current current 2056_26 Concentrations of Sodium in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_natrium image/png Time current current 2056_26 Concentrations of Nickel in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_nickel image/png Time current current 2056_26 concentration of Mercury in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_quecksilber image/png Time current current 2056_26 Concentration of Sulfur in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_schwefel image/png Time current current 2056_26 Concentration of thallium in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_thallium image/png Time current current 2056_26 Concentrations of Uranium in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_uran image/png Time current current 2056_26 Concentrations of Vanadium in the soil - 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_vanadium image/png Time current current 2056_26 Concentration of Zinc in the soil Interpolated element concentrations (mg/kg fine soil) in the topsoil (0-20 cm) of Switzerland. For the Ordinary Kriging interpolations (1 km x 1 km), measurement data from a total of 1,201 sites of the Swiss Biodiversity Monitoring, the National Soil Monitoring and the European Geochemical Soil Atlas were taken into account. The element concentrations were analyzed in aqua regia digests (HNO₃:HCl:H₂O) of dried (40°C), sieved (< 2 mm) and subsequently ground soil samples using inductively coupled plasma mass spectrometry. Sites with known anthropogenic overprinting of element concentrations (point sources) were excluded in advance. The results of the geochemical soil atlas are a snapshot of the element concentrations in the topsoils of Switzerland (sampling period 2011-2015). The interpolated maps serve to improve the visualization of regions with elevated or low concentrations. However, no plot-specific information or definitive conclusions on the geology, bioavailability, percentage distribution of geogenic and anthropogenic sources or soil contamination can be derived from them. Citation: J. E. Reusser, M. B. Siegenthaler, L. H. E. Winkel, D. Wächter, R. Kretzschmar, R. G. Meuli: Geochemischer Bodenatlas der Schweiz. Agroscope, Zürich, 2023. 5.140242 45.398181 11.47757 48.230651 ch.bafu.geochemischer-bodenatlas_schweiz_zink image/png Time current current 2056_26 Bathing water quality Assessment of bathing water quality is carried out on the basis of cantonal water monitoring data relating to the hygienic parameters E. coli and intestinal enterococci (faecal bacteria). The EEA classification system applies to the quality assessment according to the EU Bathing Water Directive of 2006.The EEA classification can only be calculated on the basis of a series of measurements of at least four bathing seasons, with four samples per season. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesserschutz-badewasserqualitaet image/png Time current current 2056_26 Ammonium Within the National Surface Water Quality Monitoring Programme (NAWA), water quality is recorded jointly by the federal and cantonal authorities at around 100 monitoring stations.The chemical water status is assessed on the basis of the ammonium concentration by the “Physicochemical Water Quality, Nutrients” method in the Modular Stepwise Procedure (www.modul-stufen-konzept.ch). Nitrogen is an essential nutrient for aquatic organisms. Most of the inorganic nitrogen present in surface waters is in the form of nitrate. Anoxic conditions can lead to the formation of nitrogen compounds reduced from nitrate, e.g. ammonium (NH4+). As the pH value of the water rises, so does the ammonium content, present as ammonia (NH3) which is toxic to fish. The ammonium concentration is indicative of the water pollution from municipal wastewater and infiltration due to drainage and leaching from agricultural land. The numerical requirement in the Waters Protection Ordinance for ammonium is 0.2 mg/l N for water temperatures above 10°C and 0.4 mg/l N for temperatures below 10°C. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesserschutz-chemischer_zustand_ammonium image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2056_26 Dissolved Organic Carbon (DOC) Within the National Surface Water Quality Monitoring Programme (NAWA), water quality is recorded jointly by the federal and cantonal authorities at around 100 monitoring stations. The numerical requirement of 4 mg/l is used for the assessment in this data set. Dissolved Organic Carbon (DOC) can be an indicator of anthropogenic water pollution. The DOC consists of both naturally present and man-made components. The Waters Protection Ordinance specifies a numerical requirement range for DOC of 1 to 4 mg/l C. The chemical water status is assessed on the basis of the DOC concentration by the “Physicochemical Water Quality, Nutrients” method in the Modular Stepwise Procedure (www.modul-stufen-konzept.ch). 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesserschutz-chemischer_zustand_doc image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2056_26 Nitrate Within the National Surface Water Quality Monitoring Programme (NAWA), water quality is recorded jointly by the federal and cantonal authorities at around 100 monitoring stations. The chemical water status is assessed on the basis of the nitrate concentration by the “Physicochemical Water Quality, Nutrients” method in the Modular Stepwise Procedure (MSP / MSK www.modul-stufen-konzept.ch). Nitrogen is an essential nutrient for aquatic organisms and is taken up by plants mainly in the form of nitrates (NO3-). Most of the inorganic nitrogen present in surface waters is in the form of nitrate. Limitation of algae and plant growth due to low nitrate levels is the exception in Swiss waters. No negative effects on the biocoenoses in the water caused by nitrate concentrations of less than 10 mg/l N are observed. Nitrate concentrations above 1.5 mg/l N are generally indicative of runoff and leaching from agricultural land or infiltration of municipal wastewater. The numerical requirement in the Waters Protection Ordinance for nitrate in surface waters used as a source of drinking water is 5.6 mg/l. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesserschutz-chemischer_zustand_nitrat image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2056_26 Nitrite Within the National Surface Water Quality Monitoring Programme (NAWA), water quality is recorded jointly by the federal and cantonal authorities at around 100 monitoring stations. The chemical water status is assessed on the basis of the nitrite concentration by the “Physicochemical Water Quality, Nutrients” method in the Modular Stepwise Procedure (www.modul-stufen-konzept.ch). Nitrogen is an essential nutrient for aquatic organisms. Most of the inorganic nitrogen present in surface waters is in the form of nitrate. Anoxic conditions can lead to the formation of nitrogen compounds reduced from nitrate, e.g. nitrite (NO2-). Nitrite is highly toxic to fish, particularly salmonids. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesserschutz-chemischer_zustand_nitrit image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2056_26 Phosphate Within the National Surface Water Quality Monitoring Programme (NAWA), water quality is recorded jointly by the federal and cantonal authorities at around 100 monitoring stations. The chemical water status is assessed on the basis of the phosphate concentration by the “Physicochemical Water Quality, Nutrients” method in the Modular Stepwise Procedure (www.modul-stufen-konzept.ch). Orthophosphate (PO43-) represents the direct physiologically effective phosphorus component for plants and is an indicator of anthropogenic nutrient loading in surface waters. In contrast to lakes, phosphorus in rivers and streams is not normally limiting for algae and plant growth. Thus a higher phosphate concentration in a river does not represent a eutrophication risk for the watercourse, but does indicate a concentration which is incompatible with the natural state as a result of anthropogenic inputs. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesserschutz-chemischer_zustand_phosphat image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2056_26 Total Phosphorus Within the National Surface Water Quality Monitoring Programme (NAWA), water quality is recorded jointly by the federal and cantonal authorities at around 100 monitoring stations. The chemical water status is assessed on the basis of the total phosphorus concentration by the “Physicochemical Water Quality, Nutrients” method in the Modular Stepwise Procedure (www.modul-stufen-konzept.ch). Phosphorus is an essential nutrient for aquatic organisms. Phosphorus can enter a watercourse in a diffuse manner from agricultural land, and at specific points through wastewater infiltration and stormwater overflows, or by erosion of rock containing phosphorus due to weathering. In contrast to lakes, phosphorus in rivers and streams is not normally limiting for algae and plant growth. As inputs from natural sources are generally low, total phosphorus is primarily an indicator of anthropogenic pollution. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesserschutz-chemischer_zustand_phosphor_gesamt image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2056_26 Diffuse total phosphorus inputs Phosphorus inputs into waters represent an undesirable pollution load. A total of some 3,400 tonnes of total phosphorus (dissolved and particulate phosphorus) enter Swiss waters every year from diffuse sources. High inputs occur mainly through natural erosion in the Alps in the form of particulate phosphorus, which has little eutrophication effect. The calculations of phosphorus inputs through natural erosion are also subject to large uncertainties. Only 31% of diffuse total phosphorus inputs originate from agricultural land.</p><p> Total phosphorus inputs into waters have been analysed by the MODIFFUS material flux model for all the diffuse input sources (arable land, permanent grassland, forest, glaciers, urban green space, etc.) and all diffuse input pathways (soil erosion, leaching, run-off, drainage, atmospheric deposition, etc.). The map shows the total input for each land use category in the hectare grid, based on the 2013/18 land use statistics. Average climatic conditions are used and the reference year is 2020. </p><p> These modelled values are not equivalent to values measured in the waters because they do not take into account the conversion and deposition processes both on land and in the waters themselves. The results are interpretable for hydrological or administrative units over 50km2 in size, but not for single pixels. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesserschutz-diffuse_eintraege_gesamt_phosphor image/png Time current current 2056_26 Diffuse dissolved phosphorus inputs Phosphorus inputs into waters represent an undesirable pollution load. Over recent decades high inputs of dissolved phosphorus have led to eutrophication of the lakes of the central plateau. A total of some 740 tonnes of dissolved phosphorus enter Swiss waters every year from diffuse sources. Intensively used grassland on hillsides is responsible for high inputs. </p><p>The dissolved phosphorus inputs into waters have been analysed by the MODIFFUS material flux model for all the diffuse input sources (arable land, permanent grassland, forest, glaciers, urban green space etc.) and their pathways (leaching, run-off, drainage, atmospheric deposition etc.). The map shows the total input for each land use category in the hectare grid, based on the 2013/18 land use statistics. Average climatic conditions are used and the reference year is2020. </p><p> These modelled values are not equivalent to values measured in the waters because they do not take into account the conversion and deposition processes, both on land and in the waters themselves. The results are interpretable for hydrological or administrative units over 50 km² in size, but not for single pixels 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesserschutz-diffuse_eintraege_phosphor image/png Time current current 2056_20 Diffuse total nitrogen inputs Nitrogen inputs into waters represent an undesirable pollution load. Under the Convention for the Protection of the Marine Environment of the North-East Atlantic (OSPAR), Switzerland agreed to reduce the nitrogen load flowing into the Rhine from Switzerland by 50% of 1985 levels. This target has not yet been met. A total of some 48,000 tonnes of nitrogen enter Swiss waters every year from diffuse sources. Intensively farmed arable land, particularly drained areas, is responsible for high inputs.</p><p>The nitrogen inputs into waters have been analysed by the MODIFFUS material flux model for all the diffuse input sources (arable land, permanent grassland, forest, glaciers, urban green space etc.) and their pathways (soil erosion, leaching, run-off, drainage, atmospheric deposition etc.). The map shows the total input for each land use category in the hectare grid, based on the 2013/18 land use statistics. Average climatic conditions are used and the reference year is 2020. </p><p> These modelled values are not equivalent to values measured in the waters because they do not take into account the conversion and deposition processes, both on land and in the waters themselves. The results are interpretable for hydrological or administrative units over 50 km² in size, but not for single pixels. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesserschutz-diffuse_eintraege_stickstoff image/png Time current current 2056_20 ARA - percentage waste water Since the 1980s, the FOEN (formerly the Swiss Agency for the Environment, Forests and Landscape) has kept a database with information about the central ARA. The underlying original maps were drawn up by the operators of wastewater treatment plants each time a plant was opened but later, when technical improvements were made, they were not updated frequently or systematically. Information about key figures on wastewater disposal comes from a 2011 survey by the Swiss Water Association and is based on the SWA’s 2006 recommendations. The percentages of wastewater in receiving watercourses at low water were estimated as part of the FOEN’s “Strategy Micropoll” project. In future, the updated SWA recommendation will form the basis for definitions of the key figures. The survey will be carried out periodically. In addition, the FOEN surveys the condition of Switzerland’s communal wastewater disposal in cantons approximately every five years. This was last done on 01/01/2011. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesserschutz-klaeranlagen_anteilq347 image/png Time current current 2056_26 ARA - capacity (PE) Since the 1980s, the FOEN (formerly the Swiss Agency for the Environment, Forests and Landscape) has kept a database with information about the central ARA. The underlying original maps were drawn up by the operators of wastewater treatment plants each time a plant was opened but later, when technical improvements were made, they were not updated frequently or systematically. Information about key figures on wastewater disposal comes from a 2011 survey by the Swiss Water Association and is based on the SWA’s 2006 recommendations. The percentages of wastewater in receiving watercourses at low water were estimated as part of the FOEN’s “Strategy Micropoll” project. In future, the updated SWA recommendation will form the basis for definitions of the key figures. The survey will be carried out periodically. In addition, the FOEN surveys the condition of Switzerland’s communal wastewater disposal in cantons approximately every five years. This was last done on 01/01/2011. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesserschutz-klaeranlagen_ausbaugroesse image/png Time current current 2056_26 ARA - cleaning type Since the 1980s, the FOEN (formerly the Swiss Agency for the Environment, Forests and Landscape) has kept a database with information about the central ARA. The underlying original maps were drawn up by the operators of wastewater treatment plants each time a plant was opened but later, when technical improvements were made, they were not updated frequently or systematically. Information about key figures on wastewater disposal comes from a 2011 survey by the Swiss Water Association and is based on the SWA’s 2006 recommendations. The percentages of wastewater in receiving watercourses at low water were estimated as part of the FOEN’s “Strategy Micropoll” project. In future, the updated SWA recommendation will form the basis for definitions of the key figures. The survey will be carried out periodically. In addition, the FOEN surveys the condition of Switzerland’s communal wastewater disposal in cantons approximately every five years. This was last done on 01/01/2011. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesserschutz-klaeranlagen_reinigungstyp image/png Time current current 2056_26 Stocking of river banks Vegetation performs important functions. It provides shade for rivers, thus reducing peak water temperatures. In the context of global warming, this is increasingly important. Furthermore, reforestation reduces bank erosion and retains pollutants.The dataset shows the proportion [%] of the stocking of the two 15-metre-wide river banks. Forestation was defined as vegetation taller than 2.5 meters. It was calculated for all free-flowing rivers with a width greater than 1 meter. The vegetation height model of the National Forest Inventory served as the data basis. 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesser-uferbestockung image/png Time current current 2056_26 Stocking map For the creation of the Switzerland-wide map of riparian woody vegetation, calculations were made based on available geodata. Riparian woodland was defined as vegetation over 2.5 m in height. It was calculated for a 15 m wide riparian strip along each of the rivers and lakes (stocking in the riparian strip) and for the riparian area of the rivers (overhanging vegetation). Stocking was calculated for all open water bodies with a width of 1 m or more. The following data bases were used: - Vegetation height model from the National Forest Inventory. - Land cover from the swisstopo topographic landscape model swissTLM3D - Water network from the topographic landscape model swissTLM3D of swisstopo - Ecomorphology data from the FOEN and the cantons of St. Gallen and Zug 5.140242 45.398181 11.47757 48.230651 ch.bafu.gewaesser-uferbestockung_vegetation image/png Time current current 2056_27 Groundwater bodies The groundwater bodies layer shows a simplified and comprehensive breakdown of hydrogeological overview units for Switzerland. The groundwater bodies here have not been developed as management units but as technical elements of environmental reports published by the Swiss Federal Office for the Environment, FOEN. They currently serve as a spatial reference when supplying national data on the state of groundwater throughout Switzerland to the European Environment Agency. The groundwater bodies were measured using a GIS and taking account of the main criteria, including river basins and the dominant aquifers as well as specific size criteria. All of the parameters applied come from datasets available across Switzerland, in particular layer 500: groundwater resources. <a href="https://www.bafu.admin.ch/dam/bafu/de/dokumente/wasser/geodaten/2023%20Grundwasserk%C3%B6rper%20der%20Schweiz.pdf.download.pdf/2023%20Grundwasserk%C3%B6rper%20der%20Schweiz.pdf?approved=true" target="_blank">Grundwasserkörper der Schweiz – Aqua & Gass</a> 5.140242 45.398181 11.47757 48.230651 ch.bafu.grundwasserkoerper image/png Time current current 2056_26 Tracer tests Tracer tests are one of the main techniques used in applied hydrogeology to track the movement of water. The layer displays the injection points of tracer tests that have been recorded in the InfoTracer database since 1984. InfoTracer is the FOEN’s tool for coordinating information between institutions which perform tracer tests, usually private consultancies or research institutes, and the environmental agencies of the cantons. This layer provides an overview of past tracer tests as well as information about the perimeter for new injections. Tracers are generally injected directly into groundwater, into the unsaturated zone or into surface waters which potentially interact with groundwater. In order to avoid repetition and unnecessary injection of tracers, respectively, as well as to prevent interference between different simultaneous tracer experiments InfoTracer also includes tracer test metadata (date, injection point and setting, tracer type used, institution responsible), however does not archive their results. 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrogeologie-markierversuche image/png Time current current 2056_26 Hydrogeological sketch Groundwater is present in all subterranean rock. This map gives a hydrogeological overview of Switzerland and its various types of aquifers. Important unconsolidated aquifers are located in the unconsolidated sediments of the major river valleys on the plateau and in Alpine valleys. Fissured aquifers in are widely distributed throughout the plateau and the Alps, whereas karstified aquifers can be found in the Alps and along the Jura mountains. 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrogeologie-uebersichtskarte image/png Time current current 2056_24 Hydrogeological map 100 Published by the Federal Office for the Environment FOEN, the specialist office of the Swiss Geological Survey responsible for hydrogeology.The hydrogeological map 1:100,000 shows the subsurface from the perspective of three disciplines: geology, hydrology and hydrogeology. The subsurface is classified according to lithological-petrographical criteria and permeability. Point and line data (springs, wells, hydraulic connections, groundwater resources, etc.) indicate the flow paths of groundwater and its exploitation at wells and tapped springs. The representation at a scale of 100,000 provides insight into the regional hydrogeological conditions. The following maps are available: 1. Bözberg/Beromünster, 1972; 2. Lake Constance, 1980; 3. Panixerpass, 1985; 4. Biel-Bienne, 1991/92; 5. Toggenburg, 1993/94; 6. Saane, 1999; 8. Vallorbe - Léman nord, 2006; 7. Basel, 2014. For North West Switzerland, a seamless vector data set of maps 4, 6, 7 and 8 was created. The data can be obtained from the FOEN (www.bafu.admin.ch Data, indicators, maps). 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrogeologische-karte_100 image/png Time current current 2056_26 Water monitoring stations Conf. The National River Monitoring and Survey Programme (NADUF) tracks the concentrations of substances occurring in selected Swiss watercourses. NADUF, launched in 1972, is a project run jointly by the FOEN, the Swiss Federal Institute of Aquatic Science and Technology (Eawag) and, since 2003, the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL). 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrologie-daueruntersuchung_fliessgewaesser image/png Time current current 2056_26 Water monitoring stations CH The data set represents the monitoring stations where the water status is recorded. The cantons are responsible for water protection enforcement, as they are for other environmentally relevant aspects, and perform most of the water analyses. The Federal Government's role is limited to analyses of national relevance. The cantonal and federal data are collected in the Water Condition Database (DBGZ) held by the Federal Office for the Environment (FOEN). 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrologie-gewaesserzustandsmessstationen image/png Time current current 2056_26 Flood statistics Data on flood events is managed and statistically evaluated by the FOEN; the findings are made available in the form of result sheets. A systematic statistical evaluation of flood data from the discharge measurement network has been carried out since 1986. For a long time the Hydrology Division applied the "Recommendations on flood risk estimation" issued by the German Association for Water, Wastewater and Waste (DVWK 1979; now DWA). From 2014 it has used a new method set. 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrologie-hochwasserstatistik image/png Time current current 2056_26 Hydrological gauging stations The data show the locations of the stations in the basic monitoring network of the Hydrology Division of the FOEN. It includes all stations currently listed on the FOEN's home page. The basic monitoring network now comprises a total of 260 surface water gauging stations. In addition to lake water levels, river discharge is measured at 200 sites. 90% of all stations have automatic remote retrieval facilities. 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrologie-hydromessstationen image/png Time current current 2056_27 Low-flow statistics A wide variety of parameters may be used to describe low-flow events. The FOEN Hydrology Division's low-flow statistics are based on the recommendations of the German Association for Water, Wastewater and Waste (DWA, formerly DVWK, 1982/1992). They include the annual values for the lowest mean discharge over a given number of days x (NMxQ). The parameter NMxQ is of interest in relation to planned withdrawals or releases. The data are updated annually. 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrologie-niedrigwasserstatistik image/png Time current current 2056_26 Basis for determining Q347 The Water Protection Act specifies how appropriate residual flows can be determined. This applies to new water withdrawals and also to existing withdrawals for which concessions have to be renewed. Anyone who withdraws water from a permanent (non-seasonal) watercourse - for power generation, irrigation or cooling purposes - requires a licence. This will only be granted if appropriate residual flows are maintained in the river- or streambed. The residual flow regulations are only applicable to new water withdrawals and to existing withdrawals when a concession expires and has to be renewed. The Q347 discharge is one of the fundamental parameters for setting minimum residual water flow. Measurements or suitable estimation methods are required to determine the Q347. The map “Grundlagen zur Bestimmung der Abflussmenge Q347” combines measured and modelled data. The modelled data represents rough estimates which can be improved by application of more advanced methods. In general, an estimate obtained in this way must be checked by performing a short-term measurement. 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrologie-q347 image/png Time current current 2056_26 HUG hydrological study areas Since 1957 the hydrology division of the FOEN has operated a network of hydrological study areas aimed at observing long-term changes in the water regime within Switzerland’s most natural catchment areas and reflecting the scope of its wide-ranging climatic regions. Therefore, it covers the natural depth of runoff for about 40 catchment areas and calculates the monthly and annual area precipitation for many of these areas as well as their annual evaporation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrologie-untersuchungsgebiete image/png Time current current 2056_26 HUG gauging stations Since 1957 the hydrology division of the FOEN has operated a network of hydrological study areas aimed at observing long-term changes in the water regime within Switzerland’s most natural catchment areas and reflecting the scope of its wide-ranging climatic regions. Therefore, it covers the natural depth of runoff for about 40 catchment areas and calculates the monthly and annual area precipitation for many of these areas as well as their annual evaporation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrologie-untersuchungsgebiete_stationen image/png Time current current 2056_26 Temperature monitoring stations The data set represents the locations of the stations in the water temperature monitoring network of the Hydrology Department of the Federal Office for the Environment (FOEN). It includes all the existing stations. The FOEN temperature monitoring network is limited to watercourses. 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrologie-wassertemperaturmessstationen image/png Time current current 2056_27 Base areas The base areas form the lowest layer of the system of catchment areas that describe Switzerland’s hydrographical structure (Hydrological Atlas of Switzerland, HADES). As many uniform areas as possible (30-50km²) are combined on this level due to the nature of the natural features. 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrologischer-atlas_basisgebiete image/png Time current current 2056_26 Balance areas The balance areas form the middle layer of the system of catchment areas that describe Switzerland’s hydrographical structure (Hydrological Atlas of Switzerland, HADES). They are usually 100-200km² in size. 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrologischer-atlas_bilanzgebiete image/png Time current current 2056_26 River basins The river basins form the uppermost aggregation level for the "Topographical catchment areas of Swiss waterbodies" geodata set. The large areas with a surface area of usually more than 1000km² are drained by large watercourses: the Rhine, Aar, Reuss, Limmat, Thur, Rhône, Ticino, Inn, Adda and Adige. 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrologischer-atlas_flussgebiete image/png Time current current 2056_26 Cantonal & private gauging stations This set of data represents the locations of hydrometric gauging stations belonging to cantons (data source: “KANTON”) and private owners (data source: “HADES”). The data was collected in 2000. The figures entered correspond to the designation in the HADES Atlas sheet 5.1.2. Further attributes of the set of data were obtained from the Atlas sheet for the table. 5.140242 45.398181 11.47757 48.230651 ch.bafu.hydrologischer-atlas_kantonale-messstationen image/png Time current current 2056_26 CO₂ emissions buildings (SIA 380/1) The Swiss building stock is responsible for around a quarter of CO2 emissions. Reductions in this area are key to achieving the climate targets. </p><p> The map "CO2 Emissions Buildings (SIA 380/1)" can be used to estimate how much CO2 is emitted for each residential building. These CO2 emissions are calculated for standard conditions for heating and hot water requirements. For the calculation, the publicly accessible input data from the Federal Register of Buildings and Dwellings (GWR) of the Federal Statistical Office are used. This data is not up-to-date everywhere and does not include sufficient information on building renovations. An interactive CO₂ calculator can be used to simulate how the CO2 value changes when energy-efficient renovations are taken into account or a change of energy source is made. The data entered is not saved. You can use this tool for each building under "Object information". </p><p> The information is to be understood as a rough estimate and does not represent official or binding data.</p><p> The CO2 visualisation with the CO2 calculator creates transparency and shows that it is particularly important to keep the ‘GWR' data up to date. Building owners can help themselves to keep the climate and energy-relevant building data in the ‘GWR' up to date. A link under "Object information" for each building contains a description of how to report any outdated data. </p><p> You can find further information at https://www.bafu.admin.ch/en/calculator-co2-buildings. 5.140242 45.398181 11.47757 48.230651 ch.bafu.klima-co2_ausstoss_gebaeude image/png Time current current 2056_28 Nighttime railway noise The map shows the nighttime railway noise to which the population is exposed. The noise calculation is based on emission data for 2021 as reported in the railway noise register as “actual emissions.” These were calculated for the SBB, BLS, SOB, SZU, Zentralbahn, and RhB networks on the basis of traffic data provided by SBB and recorded in the 2021 emissions register (EK2021). Of the total 5,800 km of tracks for rail-bound traffic under federal supervision, approximately 4,165 km are listed in EK2021. The data is not legally binding. Binding information on noise pollution and noise abatement is provided by the federal enforcement authority, the Federal Office of Transport (FOT). 5.140242 45.398181 11.47757 48.230651 ch.bafu.laerm-bahnlaerm_nacht image/png Time current current 2056_26 Daytime railway noise The map shows the daytime railway noise to which the population is exposed. The noise calculation is based on emission data for 2021 as reported in the railway noise register as “actual emissions.” These were calculated for the SBB, BLS, SOB, SZU, Zentralbahn, and RhB networks on the basis of traffic data provided by SBB and recorded in the 2021 emissions register (EK2021). Of the total 5,800 km of tracks for rail-bound traffic under federal supervision, approximately 4,165 km are listed in EK2021. The data is not legally binding. Binding information on noise pollution and noise abatement is provided by the federal enforcement authority, the Federal Office of Transport (FOT). 5.140242 45.398181 11.47757 48.230651 ch.bafu.laerm-bahnlaerm_tag image/png Time current current 2056_26 Nighttime road traffic noise The map shows the nighttime road traffic noise to which the population is exposed. The data is based on area-wide model calculations (sonBASE). The Swiss road network included in this calculation covers approximately 45,000 km. The traffic data for road traffic was determined on the basis of the NPVM. To this end, approximately 4,000 traffic counts from 2021 were processed, which were carried out by the federal offices ASTRA and FSO as well as by the cantons and cities. The calculations are not legally binding. The only legally binding data relating to noise exposure and noise improvements are those issued by the responsible enforcement authorities, i.e. for motorways the Swiss Federal Roads Office (FEDRO), and for main and other roads the relevant cantonal authorities. 5.140242 45.398181 11.47757 48.230651 ch.bafu.laerm-strassenlaerm_nacht image/png Time current current 2056_26 Daytime road traffic noise The map shows the daytime road traffic noise to which the population is exposed. The data is based on area-wide model calculations (sonBASE). The Swiss road network included in this calculation covers approximately 45,000 km. The traffic data for road traffic was determined on the basis of the NPVM. To this end, approximately 4,000 traffic counts from 2021 were processed, which were carried out by the federal offices ASTRA and FSO as well as by the cantons and cities. The calculations are not legally binding. The only legally binding data relating to noise exposure and noise improvements are those issued by the responsible enforcement authorities, i.e. for motorways the Swiss Federal Roads Office (FEDRO), and for main and other roads the relevant cantonal authorities. 5.140242 45.398181 11.47757 48.230651 ch.bafu.laerm-strassenlaerm_tag image/png Time current current 2056_26 Cantons NFI According to the geometry of the data set, Switzerland is divided into cantons. Basel Stadt and Basel-Landschaft are considered as a single unit. 5.140242 45.398181 11.47757 48.230651 ch.bafu.landesforstinventar-kantone image/png Time current current 2056_27 Production regions NFI According to the geometry of the data set, Switzerland is divided into five areas, namely Jura, Central Plateau, Pre-Alps, Alps, and the southern side of the Alps. They represent different forest growth and production conditions. 5.140242 45.398181 11.47757 48.230651 ch.bafu.landesforstinventar-produktionsregionen image/png Time current current 2056_25 Protection forest regions NFI According to the geometry of the data set, Switzerland is divided into six areas. They represent different forest growth and protective forest conditions. 5.140242 45.398181 11.47757 48.230651 ch.bafu.landesforstinventar-schutzwaldregionen image/png Time current current 2056_25 Vegetation height model NFI Countrywide vegetation height models (VHM) were generated for Switzerland based on stereo aerial images, acquired by the Federal Office of Topography swisstopo.From the ADS-80/100 sensor data, first a digital surface model (DSM) with a spatial resolution of 1 × 1 m is processed. This DSM is then normalized using the digital terrain model (DTM) swissALTI3D (swisstopo). Buildings and other artificial objects are masked out from the normalized DSM (nDSM) using information from the topographic landscape model - TLM (swisstopo) to obtain the actual vegetation height model (VHM). These VHMs are produced in the framework of the Swiss National Forest Inventory (NFI). Each year about 1/6 of Switzerland's surface is updated using the leaf-on aerial images acquired by swisstopo (May - October). Further information on the creation of the VHM NFI can be found in the paper Ginzler and Hobi (2015, https://doi.org/10.3390/rs70404343). 5.140242 45.398181 11.47757 48.230651 ch.bafu.landesforstinventar-vegetationshoehenmodell image/png Time current current 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2056_27 Vegetation height model Lidar NFI Countrywide vegetation height models (VHM) were generated for Switzerland based on LiDAR data acquired in the framework of the swissSURFACE3D campaign (swisstopo). To derive vegetation height, the classified point cloud got normalized by calculating height above ground for all points not belonging to the class ground (2). Vegetation point (class 3,4,5) got then rasterized to a grid size of 0.5 m using an interpolation distance of one grid cell. Raster cells not belonging to a vegetation class got set to 0 m above ground. These VHMs are produced in the framework of the Swiss National Forest Inventory (NFI). Each year about 1/6 of Switzerland surface is updated using swissSURFACE3D data in leaf-off state. 5.140242 45.398181 11.47757 48.230651 ch.bafu.landesforstinventar-vegetationshoehenmodell_lidar image/png Time current current 2025 2024 2023 2022 2021 2020 2019 2018 2017 2056_27 Surface model NFI Information on vegetation height is determined using remote sensing methods with active and passive sensors. LiDAR is an active sensor. An optical sensor, for example an aerial camera, is a passive sensor. LiDAR is incorporated in Switzerland on a regional, cantonal and national level. Stereo aerial photos are regularly recorded on a national level in a three year cycle. Regular 3D data sets and digital surface models (DSM) with a high resolution are created from this predictable core data from swisstopo within the framework of the National Forest Inventory (NFI). From the difference between the DSM and the digital terrain model by swisstopo (swissAlti3D), a normalised digital surface model (nDSM) is calculated. Buildings are eliminated using a combination of the ground areas of the swisstopo topographic landscape model (TLM) and spectral information from the stereo aerial photos. The end result is a model of vegetation height (vegetation height model VHM) in Switzerland. 5.140242 45.398181 11.47757 48.230651 ch.bafu.landesforstinventar-vegetationshoehenmodell_relief image/png Time current current 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2056_28 Relief shading Sentinel NFI Information on vegetation height is determined using remote sensing methods with active and passive sensors. LiDAR is an active sensor. An optical sensor, for example an aerial camera, is a passive sensor. LiDAR is incorporated in Switzerland on a regional, cantonal and national level. Stereo aerial photos are regularly recorded on a national level in a three year cycle. Regular 3D data sets and digital surface models (DSM) with a high resolution are created from this predictable core data from swisstopo within the framework of the National Forest Inventory (NFI). From the difference between the DSM and the digital terrain model by swisstopo (swissAlti3D), a normalised digital surface model (nDSM) is calculated. Buildings are eliminated using a combination of the ground areas of the swisstopo topographic landscape model (TLM) and spectral information from the stereo aerial photos. The end result is a model of vegetation height (vegetation height model VHM) in Switzerland. 5.140242 45.398181 11.47757 48.230651 ch.bafu.landesforstinventar-vegetationshoehenmodell_relief_sentinel image/png Time current current 2025 2024 2023 2022 2021 2020 2019 2018 2017 2056_26 Vegetation height model Sentinel NFI Countrywide vegetation height models (VHM) were generated for Switzerland based on Copernicus Sentinel-2 imagery and the digital terrain model (DTM) swissALTI3D from the Swiss Federal Office of Topography swisstopo. A Convolutional Neural Network (CNN) model was trained to estimate the maximum vegetation height at the spatial resolution of the Sentinel-2 pixel of 10 m. Vegetation heights from the spatially higher-resolved VHM Lidar NFI were used as reference data for the CNN training. Within the framework of the Swiss National Forest Inventory (NFI), the VHMs were modelled annually based on available Sentinel-2 imagery from May – September of the respective year. Further details on the creation of the VHM Sentinel NFI can be found in the paper Jiang et al. (2023, https://doi.org/10.1016/j.srs.2023.100099). Contains modified Copernicus Sentinel data. 5.140242 45.398181 11.47757 48.230651 ch.bafu.landesforstinventar-vegetationshoehenmodell_sentinel image/png Time current current 2025 2024 2023 2022 2021 2020 2019 2018 2017 2056_26 Forest mix rate NFI Information on the degree of forest mix rate NFI is modelled using remote sensing methods. Based on the freely available Copernicus (ESA) Sentinel-1 and -2 satellite data (image stacks from previous years), the proportion of deciduous and coniferous wood is evaluated nationwide in grid cells with a spatial resolution of 10 metres. A machine learning method is used for this purpose. Interpreted polygons of aerial photographs serve as reference data for the modelling. Each raster cell carries the information on the proportion of deciduous trees. The data set refers to all stands nationwide, not only to the LFI forest area. The spatially explicit forest mix rate NFI may differ from the mix rate NFI of the terrestrial sample survey. In the terrestrial determination of the degree of mixing, the basal area ratio of deciduous and coniferous trees is used. In the case of the forest mix rate NFI based on the Sentinel-1 and -2 satellite data, the ratio of the visible tree crowns of deciduous and coniferous tree proportions is calculated. 5.140242 45.398181 11.47757 48.230651 ch.bafu.landesforstinventar-waldmischungsgrad image/png Time current current 2056_27 Economic regions NFI Switzerland is divided into fourteen areas according to the geometry of the data set. They represent different forest growth and economic conditions and represent a refinement of the data set of production regions. 5.140242 45.398181 11.47757 48.230651 ch.bafu.landesforstinventar-wirtschaftsregionen image/png Time current current 2056_25 Habitat Map - Base The dataset maps Swiss habitats according to the TypoCH classification ('Lebensräume der Schweiz', Delarze et al. 2015) area-wide, to at least the second level of detail of the classification (habitat group); if possible, up to the third level of detail (habitat type). The dataset relies on the existing Switzerland-wide land cover mapping from the Swisstopo Topographic Landscape Model (TLM) to record the coarse habitat classes at level 1 of the TypoCH classification and for habitat classes at the second level that can be well identified with this information (for example, class 1. water bodies, 3. glaciers, rock, debris and scree, 9. buildings). Habitat types were then mapped at a finer level of detail (TypoCH 3rd level where possible) using a combination of different methods, in particular distribution models based on machine learning and complex rule sets both of which rely heavily on Earth observation data. In total, 84 habitat types or groups are mapped. 5.140242 45.398181 11.47757 48.230651 ch.bafu.lebensraumkarte-schweiz image/png Time current current 2056_26 Habitat map - Trees As part of the "Creating a Habitat Map of Switzerland" project, an additional layer for isolated trees and shrubs outside forests was created, taking into account the TypoCH classification [1]. This layer complements the existing habitat map by identifying isolated trees (TypoCH: STR6000) and shrubs (TypoCH: 5.3) outside forests across the entire territory. The derivation was performed according to rules in eCognition using SwissSurface3D LiDAR data (vegetation height models) and spatial neighborhood relationships. 5.140242 45.398181 11.47757 48.230651 ch.bafu.lebensraumkarte-schweiz_gehoelze image/png Time current current 2056_28 Ammonia Concentration Ammonia can harm plants and animals and contributes to elevated nitrogen deposition. Critical levels for ammonia are established in the framework of the UNECE convention on long-range transboundary air pollution. Critical levels only apply for areas containing sensitive ecosystems. The critical level is set at 1 µg/m³ for lichens and between 2 and 4 µg/m³ for higher plants. The time series shows the mean ammonia concentration for the years 1990, 2000, 2005, 2010, 2015 and 2020 in a resolution of 500m. The model is based on national ammonia emissions of which more than 90% originated from agriculture. Detailed information about the model can be found in the report Critical Loads of Nitrogen and their Exceedances. Information about the calculation of ammonia emissions is available on the website of Agrammon. Actual ammonia concentrations can deviate from the modelled grid data. Single pixels must not be used for assessing ammonia concentrations at single sites. 5.140242 45.398181 11.47757 48.230651 ch.bafu.luftreinhaltung-ammoniakkonzentration image/png Time 2020 2020 2015 2010 2005 2000 1990 2056_20 Particulate matter PM10 "Particulate matter" (PM10) refers to particles less than 10 micrometres in diameter. These particles are formed during industrial and commercial production processes, combustion processes, mechanical processes (abrasion, whirling-up) and through secondary formation (from sulfur dioxide, nitrogen oxides, ammonia, and volatile organic compounds). All emission sources such as transport, households, industry and agriculture contribute towards PM10 pollution, which causes disorders of the respiratory tract and cardiovascular system and increases the cancer risk and mortality rate. The time series shows the modeled maps of the annual mean values since 1998 in a 200 m grid, and in a 100 m grid from 2020. PM10 concentrations may deviate locally from the modeled data. Individual pixels should not be used to evaluate individual locations. The annual limit for PM10 set in the Ordinance on Air Pollution Control is 20 µg/m³. 5.140242 45.398181 11.47757 48.230651 ch.bafu.luftreinhaltung-feinstaub_pm10 image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 2056_20 Particulate matter PM2.5 "Particulate matter" (PM2.5) refers to particles less than 2.5 micrometres in diameter. These particles are formed during industrial and commercial production processes, combustion processes, mechanical processes (abrasion, whirling-up) and through secondary formation (from sulfur dioxide, nitrogen oxides, ammonia, and volatile organic compounds). All emission sources such as transport, households, industry and agriculture contribute towards PM2.5 pollution, which causes disorders of the respiratory tract and cardiovascular system and increases the cancer risk and mortality rate. The time series shows the modeled maps of the annual mean values since 2015 in a 100 m grid. PM2.5 concentrations may deviate locally from the modeled data. Individual pixels should not be used to evaluate individual locations. The annual limit for PM2.5 set in the Ordinance on Air Pollution Control is 10 µg/m³. 5.140242 45.398181 11.47757 48.230651 ch.bafu.luftreinhaltung-feinstaub_pm2_5 image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2056_20 Ozone mp98 Oᴣ Ground-level ozone has negative impacts on human health and vegetation. High levels in particular lead to irritation of the respiratory tract and lung tissue. In plants, high ozone concentrations cause visible damage to leaves and needles and can lead to harvest losses. Ground-level ozone is a secondary pollutant that is formed by the action of sunlight on nitrogen oxides and volatile organic compounds. The time series shows the modeled maps of the maximum monthly 98th percentiles since 1990 in a 200 m grid, and in a 100 m grid from 2020. The Oᴣ concentrations may deviate locally from the modeled data. Individual pixels should not be used to evaluate individual locations. The limit for 98th percentile of the monthly half-hourly Oᴣ values set in the Ordinance on Air Pollution Control is 100 µg/m³. 5.140242 45.398181 11.47757 48.230651 ch.bafu.luftreinhaltung-ozon image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 2056_20 Sulfur dioxide SO₂ Higher concentrations of sulfur dioxide (SO₂) can have especially negative effects on the respiratory tract; asthmatics and people with chronic respiratory diseases are particularly at risk. SO₂ is toxic to plants. It is also an important precursor for the formation of acid precipitation and secondary particulate matter. Sulphur dioxide emissions are produced by the combustion of sulfur-containing fuels and by some industrial processes. The time series shows the modeled maps of the annual mean values since 1980 in a 200 m grid, and in a 100 m grid from 2020. The SO₂ concentrations may deviate locally from the modeled data. Individual pixels should not be used to evaluate individual locations. The annual limit for SO₂ set in the Ordinance on Air Pollution Control is 30 µg/m³. 5.140242 45.398181 11.47757 48.230651 ch.bafu.luftreinhaltung-schwefeldioxid image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 1980 2056_20 Nitrogen Deposition The time series shows the modelled total deposition of nitrogen for the years 1990, 2000, 2005, 2010, 2015 and 2020 in a resolution of 500m as a sum of wet, dry and gaseous deposition. Nationwide deposition in 2020 amounted to a total of 59'000 tonnes of nitrogen. On average, reduced nitrogen compounds (NH₃, NH₄⁺) accounted for two thirds of the deposition. This percentage can strongly vary locally depending on the amount of wet deposition and nearby emission sources. The modelled values are based on average meteorological conditions. Detailed information about the model can be found in the report Critical Loads of Nitrogen and their Exceedances. Actual nitrogen deposition can deviate from the modelled grid data. Single pixels must not be used for assessing deposition at single sites. 5.140242 45.398181 11.47757 48.230651 ch.bafu.luftreinhaltung-stickstoffdeposition image/png Time 2020 2020 2015 2010 2005 2000 1990 2056_20 Nitrogen dioxide NO₂ The term "nitrogen oxides" (NOx) embraces nitrogen dioxide (NO₂) and nitrogen monoxide (NO). Nitrogen oxides form in the combustion of motor and heating fuels, especially when combustion is at high temperatures. Road transport is the main source. They are an important precursor in the formation of acid rain, secondary particulate matter and - in combination with volatile organic compounds - photo-oxidants (ozone/summer smog). Along with ammonia they form particulate matter and contribute to the over-fertilisation of ecosystems. Nitrogen dioxide and other irritant gases are also a causal factor in diseases of the respiratory tract. Children are particularly susceptible. The time series shows the modeled maps of the annual mean values since 1990 in a 200 m grid, and in a 100 m grid from 2020. The NO₂ concentrations may deviate locally from the modeled data. Individual pixels should not be used to evaluate individual locations. The annual limit for NO₂ set in the Ordinance on Air Pollution Control is 30 µg/m³. 5.140242 45.398181 11.47757 48.230651 ch.bafu.luftreinhaltung-stickstoffdioxid image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 2056_20 CLN Exceedance Excessive deposition of reactive nitrogen compounds (NO₂, NO₃⁻, HNO₃, NH₃, NH₄⁺) causes eutrophication (over-fertilisation) of sensitive ecosystems, contributes to soil acidification and can lead to elevated nitrate leaching with associated leaching of nutrients in the soil. In addition, it also leads to increased production of nitrous oxide. Methods for establishing critical loads for nitrogen are developed and applied in the framework of the UNECE convention on long-range transboundary air pollution. The time series shows the exceedances of the critical loads for nitrogen for sensitive ecosystems for the years 1990, 2000, 2005, 2010, 2015 and 2020 in a resolution of 1 square kilometre. Critical loads only apply for areas containing sensitive ecosystems. The inventories of the following sensitive ecosystems were used for the map: i) Raised bogs and fens from the Federal Inventories of Raised and Transitional Bogs and Fenlands; ii) Dry grasslands from the National Inventory of Dry Grasslands; iii) Various types of vegetation declared worthy of protection, from the vegetation atlas by Hegg et al. (1993); iv) Sites containing mountain hay meadows that are part of the Swiss Biodiversity Monitoring (122 sites); v) Oligotrophic alpine lakes in southern Switzerland (100 lakes); vi) National Forest Inventory sites (10331 sites) and 301 additional sites used for dynamic modelling. Sensitive ecosystems that are not included in these datasets are not considered. Detailed information about the model can be found in the report Critical Loads of Nitrogen and their Exceedances. Actual critical load exceedances can deviate from the modelled grid data. Single pixels must not be used for assessing critical load exceedances at single sites. 5.140242 45.398181 11.47757 48.230651 ch.bafu.luftreinhaltung-stickstoff_kritischer_eintrag image/png Time 2020 2020 2015 2010 2005 2000 1990 2056_20 Mean runoff (m³/s) and regime For the entire Swiss river network natural runoff (m³/s) values (monthly and annual means) have been modeled and the flow regime types determined. «MQ-GWN-CH» constitutes a dataset for the entire medium-scale river network of Switzerland. No runoff values are given for rivers with watershed areas < 3 km²(limit of application of the underlying dataset) and ≥ 500 km²(given that in general for such cases a hydrometric station is available within a useful distance). The latter starts from the assumption that measured data are as a matter of principle to be preferred to modeled estimates. 5.140242 45.398181 11.47757 48.230651 ch.bafu.mittlere-abfluesse image/png Time current current 2056_26 Mean discharges in the future The map shows the percentage changes in summer runoff towards the end of the century (2070-2099) compared to the reference period (1981 - 2010) as calculated in the hydrological scenarios Hydro-CH2018 for a scenario without climate change mitigation (RCP8.5). Shown in each case is the median of the entire range of simulations. In summer, the hydrological scenarios show a median runoff decrease of 30-50% without climate change mitigation by the end of the century. Responsible for this decrease are reduced summer precipitation, higher evapotranspiration and the decrease of glacier and snowmelt water. In the Hydro-CH2018 project, which is a thematic area of the National Centre for Climate Services (NCCS, www.nccs.admin.ch) and is led by the FOEN, various specialized hydrological models were used depending on the research question. For this reason, it is possible that several, slightly different results are available at certain stations, e.g. Thur Andelfingen (details can be found in the synthesis report "Impacts of climate change on Swiss water bodies"). Clicking on the link in the object information will take you to the Hydrological Atlas of Switzerland, where all results for all stations, all climate scenarios and all time periods including uncertainty range can be found. 5.140242 45.398181 11.47757 48.230651 ch.bafu.mittlere-abfluesse_zukunft image/png Time current current 2056_26 Red list bryophytes The map shows the known detection data for threatened and protected mosses throughout Switzerland. Discoveries of Red List species from the categories CR (Critically Endangered), EN (Endangered), VU (Vulnerable) and RE (Extinct in Switzerland) and discoveries of all species that are protected either nationwide or on a cantonal basis by the Ordinance on the Protection of Nature and Cultural Heritage (Natur- und Heimatschutzverordnung, NHV) are included. The detection areas are situated either within a tolerance of 10 or 100 m from the exact detection locations or, if only the square kilometre cell is known, below left on its coordinate intersection. 5.140242 45.398181 11.47757 48.230651 ch.bafu.moose image/png Time current current 2056_26 Monitoring stations air quality The National Air Pollution Monitoring Network (NABEL) monitors air quality at 16 different locations in Switzerland. The monitoring stations are spread over the entire country and measure pollution levels in different types of situations (e.g. streets in city centres, residential areas, rural sites). The NABEL air quality monitoring stations yield different results depending on the type of location. Comparisons of air quality are therefore only possible among stations covering similar location types, not among geographic areas per se. 5.140242 45.398181 11.47757 48.230651 ch.bafu.nabelstationen image/png Time current current 2056_26 Groundwater: Nitrate Nitrates are an essential food for plants. Nitrates enter into groundwater mainly through excess agricultural or mineral fertilizers. Under the Waters Protection Ordinance (WPO), nitrate concentrations in groundwater should not exceed 25 mg/l . Nitrate concentrations in Swiss groundwater are measured as part of the NAQUA National Groundwater Monitoring program. The national groundwater monitoring network includes more than 500 monitoring sites and is run by the FOEN in close collaboration with the cantons. Source: NAQUA National Groundwater Monitoring program, Federal Office of the Environment 5.140242 45.398181 11.47757 48.230651 ch.bafu.naqua-grundwasser_nitrat image/png Time current current 2056_26 Groundwater: VOC Volatile organic compounds (VOCs) include various organic substances, such as monocyclic aromatic hydrocarbons (MAH) and volatile halogenated hydrocarbons (VHH). MAHs and VHHs are used and processed as solvents, coolants or raw materials in industry and commerce. Fuels also contain VOCs. These substances can enter groundwater through production, transport and storage processes or even when they are used or removed. Under the Waters Protection Ordi-nance (WPO), concentrations of monocyclic aromatic hydrocarbons in groundwater should not exceed 1 micrograms/l. Concentrations of various volatile organic compounds in Swiss groundwater are recorded as part of the NAQUA National Groundwater Monitoring program. The National Groundwater Monitoring Network includes more than 500 monitoring sites and is run by the FOEN in close collaboration with the cantons.Source: NAQUA National Groundwater Monitor-ing, Federal Office of the Environment 5.140242 45.398181 11.47757 48.230651 ch.bafu.naqua-grundwasser_voc image/png Time current current 2056_26 Phytolacca americana The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-amerikanische_kermesbeere image/png Time current current 2056_23 N.N. The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-amerikanischer_stinktierkohl image/png Time current current 2056_23 Rubus armeniacus The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-armenische_brombeere image/png Time current current 2056_23 Ambrosia artemisiifolia The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-aufrechtes_traubenkraut image/png Time current current 2056_23 Sedum stoloniferum The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-auslaeuferbildendes_fettkraut image/png Time current current 2056_23 Impatiens balfourii The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-balfours_springkraut image/png Time current current 2056_23 Amorpha fruticosa The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-bastardindigo image/png Time current current 2056_23 Reynoutria bohemica The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-bastard_staudenknoeterich image/png Time current current 2056_23 Bassia scoparia The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-besen_radmelde image/png Time current current 2056_23 Paulownia tomentosa The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-blauglockenbaum image/png Time current current 2056_23 Myriophyllum aquaticum The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-brasilianisches_tausendblatt image/png Time current current 2056_23 Solanum carolinense The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-carolina_nachtschatten image/png Time current current 2056_23 Abutilon theophrasti The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-chinesische_samtpappel image/png Time current current 2056_23 Impatiens glandulifera The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-druesiges_springkraut image/png Time current current 2056_23 Erigeron annuus The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-einjaehriges_berufkraut image/png Time current current 2056_23 Phytolacca esculenta The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-essbare_kermesbeere image/png Time current current 2056_23 Cyperus esculentus The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-essbares_zypergras image/png Time current current 2056_23 Rhus typhina The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-essigbaum image/png Time current current 2056_23 Senecio rupestris The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-felsen_greiskraut image/png Time current current 2056_23 Trachycarpus fortunei The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-fortunes_hanfpalme image/png Time current current 2056_23 Glyceria striata The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-gestreiftes_suessgras image/png Time current current 2056_23 Parthenocissus inserta The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-gewoehnliche_jungfernrebe image/png Time current current 2056_23 Bunias orientalis The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-glattes_zackenschoetchen image/png Time current current 2056_23 Ailanthus altissima The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-goetterbaum image/png Time current current 2056_23 N.N. The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-grossbluetiges_heusenkraut image/png Time current current 2056_23 Hydrocotyle ranunculoides The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-grosser_wassernabel image/png Time current current 2056_23 Sicyos angulatus The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-haargurke image/png Time current current 2056_23 Lonicera henryi The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-henrys_geissblatt image/png Time current current 2056_23 Prunus serotina The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-herbst_traubenkirsche image/png Time current current 2056_23 Echinocystis lobata The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-igelgurke image/png Time current current 2056_23 Reynoutria japonica The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-japanischer_staudenknoeterich image/png Time current current 2056_23 Lonicera japonica The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-japanisches_geissblatt image/png Time current current 2056_23 Solidago canadensis The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-kanadische_goldrute image/png Time current current 2056_23 Elodea canadensis The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-kanadische_wasserpest image/png Time current current 2056_23 Cabomba caroliniana The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-karolina_haarnixe image/png Time current current 2056_23 Sedum spurium The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-kaukasus_fettkraut image/png Time current current 2056_23 Prunus laurocerasus The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-kirschlorbeer image/png Time current current 2056_23 Toxicodendron radicans The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-kletternder_giftsumach image/png Time current current 2056_23 Pueraria lobata The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-kopoubohne image/png Time current current 2056_23 N.N. The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-mahonie image/png Time current current 2056_23 Crassula helmsii The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-nadelkraut image/png Time current current 2056_23 Elodea nuttallii The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-nuttalls_wasserpest image/png Time current current 2056_23 Ludwigia peploides The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-portulak_heusenkraut image/png Time current current 2056_23 Heracleum mantegazzianum The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-riesenbaerenklau image/png Time current current 2056_23 Robinia pseudoacacia The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-robinie image/png Time current current 2056_23 Viburnum rhytidophyllum The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-runzelblaettriger_schneeball image/png Time current current 2056_23 Reynoutria sachalinensis The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-sachalin_staudenknoeterich image/png Time current current 2056_23 Buddleja davidii The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-schmetterlingsstrauch image/png Time current current 2056_23 Cornus sericea The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-seidiger_hornstrauch image/png Time current current 2056_23 Solidago gigantea The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-spaetbluehende_goldrute image/png Time current current 2056_23 Senecio inaequidens The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-suedafrikanisches_greiskraut image/png Time current current 2056_23 Asclepias syriaca The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-syrische_seidenpflanze image/png Time current current 2056_23 Helianthus tuberosus The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-topinambur image/png Time current current 2056_23 Artemisia verlotiorum The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-verlotscher_beifuss image/png Time current current 2056_23 Polygonum polystachyum The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-vielaehriger_knoeterich image/png Time current current 2056_23 Lupinus polyphyllus The set of invasive alien plants shows the maps of the potential areas of 56 alien plants species present in Switzerland as well as some invasive species present in neighboring countries with the potential to reach Switzerland. The maps are the result of model-based tool to anticipate the spread of invasive alien plants listed on the Swiss Black and Watch list. The model is using occurrence data from GBIF (Global Biodiversity Information Facility), current climate data from Worldclim(1 km resolution) and occurrence data from InfoFlora combined with climate data from the WSL (100 m resolution).The maps with 100 m resolution utilize additional necessary variables including landuse and geology. 5.140242 45.398181 11.47757 48.230651 ch.bafu.neophyten-vielblaettrige_lupine image/png Time current current 2056_23 Rainfall erosivity Apr. <p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha⁻¹ h⁻¹ month⁻¹. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359–4373). 5.140242 45.398181 11.47757 48.230651 ch.bafu.niederschlagserosivitaet-apr image/png Time current current 2056_20 Rainfall erosivity Aug. <p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha⁻¹ h⁻¹ month⁻¹. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359–4373). 5.140242 45.398181 11.47757 48.230651 ch.bafu.niederschlagserosivitaet-aug image/png Time current current 2056_20 Rainfall erosivity Dec. <p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha⁻¹ h⁻¹ month⁻¹. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> <p>The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359–4373).</p> 5.140242 45.398181 11.47757 48.230651 ch.bafu.niederschlagserosivitaet-dez image/png Time current current 2056_20 Rainfall erosivity Feb. <p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha⁻¹ h⁻¹ month⁻¹. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359–4373). 5.140242 45.398181 11.47757 48.230651 ch.bafu.niederschlagserosivitaet-feb image/png Time current current 2056_20 Rainfall erosivity Jan. <p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha⁻¹ h⁻¹ month⁻¹. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359–4373). 5.140242 45.398181 11.47757 48.230651 ch.bafu.niederschlagserosivitaet-jan image/png Time current current 2056_20 Rainfall erosivity July <p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha⁻¹ h⁻¹ month⁻¹. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359–4373). 5.140242 45.398181 11.47757 48.230651 ch.bafu.niederschlagserosivitaet-jul image/png Time current current 2056_20 Rainfall erosivity June <p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha⁻¹ h⁻¹ month⁻¹. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359–4373). 5.140242 45.398181 11.47757 48.230651 ch.bafu.niederschlagserosivitaet-jun image/png Time current current 2056_20 Rainfall erosivity May <p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha⁻¹ h⁻¹ month⁻¹. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359–4373). 5.140242 45.398181 11.47757 48.230651 ch.bafu.niederschlagserosivitaet-mai image/png Time current current 2056_20 Rainfall erosivity Mar. <p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha⁻¹ h⁻¹ month⁻¹. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359–4373). 5.140242 45.398181 11.47757 48.230651 ch.bafu.niederschlagserosivitaet-mrz image/png Time current current 2056_20 Rainfall erosivity Nov. <p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha⁻¹ h⁻¹ month⁻¹. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359–4373). 5.140242 45.398181 11.47757 48.230651 ch.bafu.niederschlagserosivitaet-nov image/png Time current current 2056_20 Rainfall erosivity Oct. <p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha⁻¹ h⁻¹ month⁻¹. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359–4373). 5.140242 45.398181 11.47757 48.230651 ch.bafu.niederschlagserosivitaet-okt image/png Time current current 2056_20 Rainfall erosivity Sep. <p>Monthly rainfall erosivity maps (R-factor maps) of Switzerland with a spatial resolution of 100 m. The maps show the spatial and seasonal variability of rainfall erosivity in MJ mm ha⁻¹ h⁻¹ month⁻¹. Light shades of blue indicate a low erosive impact of rainfall and dark shades a high impact.</p> <p>The monthly R-factors are based on precipitation measurements from 87 automatic gauging stations with measurement intervals of 10 minutes (average measuring period of 19.5 years per station). The stations cover all agricultural zones in Switzerland. To exclude the influence of snow, temperatures are also recorded at an hourly resolution for 71 stations or are derived from the nearest station.</p> <p>A comparison of the 12 monthly R-factor maps shows that the summer months (June, July and August) have the highest rainfall erosivity values during the year. The Southern Alps (canton of Ticino), the mountain zones of the Northern Alps and parts of the valley zone have particularly high R-factors in this period. A proportion of 62% of Switzerland's annual rainfall erosivity is recorded between June and September. Identifying regions and periods in which rainfall with an increased erosive impact occurs enables targeted erosion control and a better understanding of the dynamics of erosion processes over the course of a year.</p> The development of monthly rainfall erosivity maps of Switzerland is described in detail in 'Regionalization of monthly rainfall erosivity patterns in Switzerland' by Schmidt et al. (Hydrology and Earth System Sciences: 20. 2016. pp. 4359–4373). 5.140242 45.398181 11.47757 48.230651 ch.bafu.niederschlagserosivitaet-sep image/png Time current current 2056_20 Ecomorphology F – River reaches To enable watercourses to be fully protected, their status must be known. The Modular Stepwise Procedure provides the framework for standardised investigation and assessment of watercourses. The procedure is modular in structure and comprises surveys of hydrology, watercourse structure (ecomorphology), water chemistry and ecotoxicology, and the communities of animals, plants and microorganisms (biology). The Ecomorphology module surveys the structural characteristics of the streams and rivers in regions as a whole (e.g. cantons, regions, municipalities) (Level F). The “River Reaches” layer shows the classification of the individual watercourse reaches from natural to artificial and culverted (reference geometry VECTOR25 GWN). They are classified on the basis of the summary assessment of ecologically important features such as the nature of the banks. 5.140242 45.398181 11.47757 48.230651 ch.bafu.oekomorphologie-f_abschnitte image/png Time current current 2056_26 Ecomorphology F – Drop structures To enable surface waters to be fully protected, their status must be known. The Modular Stepwise Procedure provides the framework for standardized investigation and assessment of surface waters. The procedure is modular in structure and comprises surveys of hydrology, watercourse structure (ecomorphology), water chemistry and ecotoxicology, and the communities of animals, plants and microorganisms (biology).The Ecomorphology module surveys the structural characteristics of the streams and rivers in regions as a whole, e.g. cantons, regions, municipalities) (Level F). The “Drop Structures” layer identifies artificial and natural disruptions to continuity according to their type (wood, rock, concrete and other). 5.140242 45.398181 11.47757 48.230651 ch.bafu.oekomorphologie-f_abstuerze image/png Time current current 2056_26 Ecomorphology F - Structures To enable surface waters to be fully protected, their status must be known. The Modular Stepwise Procedure provides the framework for standardized investigation and assessment of surface waters. The procedure is modular in structure and comprises surveys of hydrology, watercourse structure (ecomorphology), water chemistry and ecotoxicology, and the communities of animals, plants and microorganisms (biology).The Ecomorphology module surveys the structural characteristics of the streams and rivers in regions as a whole, e.g. cantons, regions, municipalities) (Level F). The “Structures” layer identifies weirs, floodgates, locks, fish passes and other structures in the channel. 5.140242 45.398181 11.47757 48.230651 ch.bafu.oekomorphologie-f_bauwerke image/png Time current current 2056_26 Potential permafrost distribution The map shows the potential permafrost distribution in Switzerland based on modelling. In Switzerland, above 2400 metres the ground can be permanently frozen, depending on its geographical orientation. This phenomenon is called permafrost. Due to global warming, the altitude of the permafrost line is likely to rise in the coming decades. This may trigger rockfalls, avalanches, landslides and mudslides in the mountains. 5.140242 45.398181 11.47757 48.230651 ch.bafu.permafrost image/png Time current current 2056_26 REN extensive agricultural area The National Ecological Network (REN) was developed in close collaboration with cantonal authorities for the protection of nature and landscapes. It issues a technical/sciencific report that presents the Swiss landscape from an ecological perspective. It shows the divisions and connections between habitats on maps in a scale of 1:500,000 and 1:100,000 and considers not only the current situation, but also the potential of the landscape. This foreward-looking, holistic approach provides a total picture of the large ecological networks in the country. Maps of specific networks show the corresponding core and distribution areas as well as the continua and corridors of the 5 specific networks. The network situation of each specific network is illustrated in another series of maps. 5.140242 45.398181 11.47757 48.230651 ch.bafu.ren-extensive_landwirtschaftsgebiete image/png Time current current 2056_26 REN wetland site The National Ecological Network (REN) was developed in close collaboration with cantonal authorities for the protec-tion of nature and landscapes. It issues a technical/sciencific report that presents the Swiss landscape from an ecological perspective. It shows the divisions and connections between habitats on maps in a scale of 1:500,000 and 1:100,000 and considers not only the current situation, but also the potential of the landscape. This foreward-looking, holistic approach provides a total picture of the large ecological networks in the country. Maps of specific networks show the corresponding core and distribution areas as well as the continua and corridors of the 5 specific networks. The network situation of each specific network is illustrated in another series of maps. 5.140242 45.398181 11.47757 48.230651 ch.bafu.ren-feuchtgebiete image/png Time current current 2056_26 REN watercourses / lakes The National Ecological Network (REN) was developed in close collaboration with cantonal authorities for the protec-tion of nature and landscapes. It issues a technical/sciencific report that presents the Swiss landscape from an ecological perspective. It shows the divisions and connections between habitats on maps in a scale of 1:500,000 and 1:100,000 and considers not only the current situation, but also the potential of the landscape. This foreward-looking, holistic approach provides a total picture of the large ecological networks in the country. Maps of specific networks show the corresponding core and distribution areas as well as the continua and corridors of the 5 specific networks. The network situation of each specific network is illustrated in another series of maps. 5.140242 45.398181 11.47757 48.230651 ch.bafu.ren-fliessgewaesser_seen image/png Time current current 2056_26 REN dry habitat The National Ecological Network (REN) was developed in close collaboration with cantonal authorities for the protec-tion of nature and landscapes. It issues a technical/sciencific report that presents the Swiss landscape from an ecological perspective. It shows the divisions and connections between habitats on maps in a scale of 1:500,000 and 1:100,000 and considers not only the current situation, but also the potential of the landscape. This foreward-looking, holistic approach provides a total picture of the large ecological networks in the country. Maps of specific networks show the corresponding core and distribution areas as well as the continua and corridors of the 5 specific networks. The network situation of each specific network is illustrated in another series of maps. 5.140242 45.398181 11.47757 48.230651 ch.bafu.ren-trockenstandorte image/png Time current current 2056_26 REN forest The National Ecological Network (REN) was developed in close collaboration with cantonal authorities for the protec-tion of nature and landscapes. It issues a technical/sciencific report that presents the Swiss landscape from an ecological perspective. It shows the divisions and connections between habitats on maps in a scale of 1:500,000 and 1:100,000 and considers not only the current situation, but also the potential of the landscape. This foreward-looking, holistic approach provides a total picture of the large ecological networks in the country. Maps of specific networks show the corresponding core and distribution areas as well as the continua and corridors of the 5 specific networks. The network situation of each specific network is illustrated in another series of maps. 5.140242 45.398181 11.47757 48.230651 ch.bafu.ren-wald image/png Time current current 2056_26 Floodplains AuLaV Under Art. 19 of the Off-Airport Landing Ordinance (AuLaV; SR 748.132.3), protected areas comprise national parks, raised and transition bogs, water and migratory bird reserves, fens, floodplains, federal hunting ban reserves, and mire landscapes of national importance in accordance with Art. 32h. Off-airport landings (taking off or landing, and picking up or setting down cargo or persons outside aerodromes as well as emergency landing exercises) is basically prohibited for manned aircraft on protected areas. Based on the specific restrictions and conditions that apply to off-airport landings, a distinction is made in air navigation publications between 4 categories: 1. Game reserves 2. Mire landscapes 3. Floodplains 4. Other protected areas (raised and transition bogs, fens, water and migratory bird reserves, national parks). Each category of protected area is divided into two generalisation levels: in small-scale views, the protected areas are displayed for readability in generalised form and inversely proportional to area, with a lateral buffer of between 1 and 80 m. In the large-scale views, the perimeters of the protected site are displayed in the legally valid dimensions. Off-aerodrome landings and emergency landing exercises on floodplains are not permitted, subject to Art. 19 para. 3 and Art. 28. Off-airport landings in order to prevent natural hazards, for the construction or maintenance of buildings and installations in the public interest, off-airport landings on behalf of the competent cantonal authorities, and off-airport landings authorised by such authorities for the construction of maintenance of buildings and installations are permitted. 5.140242 45.398181 11.47757 48.230651 ch.bafu.schutzgebiete-aulav_auen image/png Time current current 2056_26 Hunting Ban Reserves AuLaV Under Art. 19 of the Off-Airport Landing Ordinance (AuLaV; SR 748.132.3), protected areas comprise national parks, raised and transition bogs, water and migratory bird reserves, fens, floodplains, federal game reserves, and mire landscapes of national importance in accordance with Art. 32h. Off-airport landings (taking off or landing, and picking up or setting down cargo or persons outside aerodromes as well as emergency landing exercises) is basically prohibited for manned aircraft on protected areas. Based on the specific restrictions and conditions that apply to off-airport landings, a distinction is made in air navigation publications between 4 categories: 1. Hunting Ban reserves 2. Mire landscapes 3. Floodplains 4. Other protected areas (raised and transition bogs, fens, water and migratory bird reserves, national parks). Each category of protected area is divided into two generalisation levels: in small-scale views, the protected areas are displayed for readability in generalised form and inversely proportional to area, with a lateral buffer of between 1 and 80 m. In the large-scale views, the perimeters of the protected site are displayed in the legally valid dimensions. Off-aerodrome landings and emergency landing exercises in game reserves are not permitted, subject to Art. 19 para. 3, Art. 28 and Art. 46 para. 4. Off-airport landings in order to prevent natural hazards, for forestry and agricultural purposes, for provisioning publicly-accessible cabins, and for the construction or maintenance of buildings and installations in the public interest, off-airport landings and hovering on training flights, off-airport landings on behalf of the competent cantonal authorities, and off-airport landings authorised by such authorities for the construction of maintenance of buildings and installations are permitted. For flights for other work purposes, the ban applies only from 1 November to 31 July. 5.140242 45.398181 11.47757 48.230651 ch.bafu.schutzgebiete-aulav_jagdbanngebiete image/png Time current current 2056_26 Mirelandscapes AuLaV Under Art. 19 of the Off-Airport Landing Ordinance (AuLaV; SR 748.132.3), protected areas comprise national parks, raised and transition bogs, water and migratory bird reserves, fens, floodplains, federal hunting ban reserves, and mire landscapes of national importance in accordance with Art. 32h. Off-airport landings (taking off or landing, and picking up or setting down cargo or persons outside aerodromes as well as emergency landing exercises) is basically prohibited for manned aircraft on protected areas. Based on the specific restrictions and conditions that apply to off-airport landings, a distinction is made in air navigation publications between 4 categories: 1. Game reserves 2. Mire landscapes 3. Floodplains 4. Other protected areas (raised and transition bogs, fens, water and migratory bird reserves, national parks). Each category of protected area is divided into two generalisation levels: in small-scale views, the protected areas are displayed for readability in generalised form and inversely proportional to area, with a lateral buffer of between 1 and 80 m. In the large-scale views, the perimeters of the protected site are displayed in the legally valid dimensions. Off-aerodrome landings and emergency landing exercises on mire landscapes are not permitted under Art 32 h when on non-commercial flights. 5.140242 45.398181 11.47757 48.230651 ch.bafu.schutzgebiete-aulav_moorlandschaften image/png Time current current 2056_26 Other protected areas AuLaV Under Art. 19 of the Off-Aerodrome Landing Ordinance (OALO; SR 748.132.3), protected areas comprise national parks, raised and transition bogs, water and migratory bird reserves, fens, floodplains, federal hunting ban reserves, and mire landscapes of national importance in accordance with Art. 32h. Off-aerodrome landings (taking off or landing, and picking up or setting down cargo or persons outside aerodromes as well as emergency landing exercises) are generally prohibited for civilian manned aircraft on protected areas. Based on the specific restrictions and conditions that apply to off-aerodrome landings, a distinction is made in air navigation publications between four categories: 1. Game reserves 2. Mire landscapes 3. Floodplains 4. Other protected areas (raised and transition bogs, fens, water and migratory bird reserves, national parks). Each category of protected area is divided into two generalisation levels: in small-scale views, the protected areas are displayed for readability in generalised form and inversely proportional to area, with a lateral buffer of between 1 and 80 m. In the large-scale views, the perimeters of the protected site are displayed in the legally valid dimensions. Off-aerodrome landings and emergency landing exercises on other protected areas are not permitted, subject to Art. 19 para. 3 and Art. 28. 5.140242 45.398181 11.47757 48.230651 ch.bafu.schutzgebiete-aulav_uebrige image/png Time current current 2056_26 Biosphere reserves Biosphere reserves are not only used to protect and preserve ecosystems, but also for environmental research, environmentally-friendly land use and environmental education. They are terrific showcases of human and natural history that have been designated UNESCO World Heritage sites and biospheres: silent yet eloquent examples of the great cultural achievements and natural phenomena. The inclusion of an area is decided by the International Coordinating Council of UNESCO's MAB Programme upon application by the state, based on established criteria that have been specified in a criteria catalogue for Switzerland. The criteria include, above all, representativeness, size, natural and political coherence, and the consent of the local population. 5.140242 45.398181 11.47757 48.230651 ch.bafu.schutzgebiete-biosphaerenreservate image/png Time current current 2056_26 Protected areas MIL The layer protected areas in the military air navigation obstacles publication1:100'000 contains the Swiss National Park, raised bogs, selected floodplains and fens, water and migrant bird reserves and Swiss game reserves. 5.140242 45.398181 11.47757 48.230651 ch.bafu.schutzgebiete-luftfahrt image/png Time current current 2056_26 Swiss Parks (Zones) The dataset contains the protected area of the ‘Swiss National Park', which is protected in accordance with the National Park Act of 19 December 1980 (SR454) as well as park projects registered with the FOEN based on the Federal Act on the Protection of Nature and Cultural Heritage (NCHA), which was revised on 1 December 2007. It defines three categories of parks of national importance: national parks, regional nature parks and nature discovery parks. Depending on the status of the project involved, the park regions can apply for the ‘candidate for the development of a park' label or the protected ‘Swiss park' label for operational parks. Parks of national importance help with the protection and upgrading of outstanding natural habitats. The parks also promote the economic development of a region. 5.140242 45.398181 11.47757 48.230651 ch.bafu.schutzgebiete-paerke_nationaler_bedeutung image/png Time current current 2056_23 Swiss Parks (Perimeter) The dataset contains the protected area of the ‘Swiss National Park', which is protected in accordance with the National Park Act of 19 December 1980 (SR454) as well as park projects registered with the FOEN based on the Federal Act on the Protection of Nature and Cultural Heritage (NCHA), which was revised on 1 December 2007. It defines three categories of parks of national importance: national parks, regional nature parks and nature discovery parks. Depending on the status of the project involved, the park regions can apply for the ‘candidate for the development of a park' label or the protected ‘Swiss park' label for operational parks. Parks of national importance help with the protection and upgrading of outstanding natural habitats. The parks also promote the economic development of a region. 5.140242 45.398181 11.47757 48.230651 ch.bafu.schutzgebiete-paerke_nationaler_bedeutung_perimeter image/png Time current current 2056_23 Ramsar To protect wetlands, particularly as habitats for waterbirds and waders, a convention of international importance was signed in 1971 in the Iranian city of Ramsar. Switzerland ratified the agreement—commonly referred to as the Ramsar Convention—in 1976, thereby committing itself to ensuring the sustainable use of wetlands and granting these areas special protection. So far, in four stages, 11 sites have been registered under the Ramsar Convention, with 3 of them subsequently adjusted to new protection perimeters. They were selected primarily because of their significance as habitats for waterbirds. The sites include lakeshore sections, river deltas, dammed river stretches, a fen area, and, in the alpine region, glacier forefields and a moorland area. They serve as official documentation for submission to the IUCN and for recording the individual wetlands in the Ramsar database. 5.140242 45.398181 11.47757 48.230651 ch.bafu.schutzgebiete-ramsar image/png Time current current 2056_26 Swiss National Park Switzerland’s National Park was created in 1909 through private initiatives. When the Confederation took over, it was officially created on 1 August 1914. The park was expanded several times prior to 2000 and its precise border is estab-lished under park agreements between communes and the Swiss Confederation. The national park’s governing body is the Swiss National Park Public Trust headquartered in Bern. 5.140242 45.398181 11.47757 48.230651 ch.bafu.schutzgebiete-schweizerischer_nationalpark image/png Time current current 2056_26 Emerald sites The Emerald Network is a Europeanwide network that seeks to protect endangered animal and plant species and natural habitats listed in the Bern Convention. To obtain Emerald status, species and/or habitats must meet Emerald criteria under the Bern Convention. After successful consultation with the cantons, Switzerland has registered 37 sites with the Council of Europe. 5.140242 45.398181 11.47757 48.230651 ch.bafu.schutzgebiete-smaragd image/png Time current current 2056_26 Landslide (SilvaProtect-CH) Landslides arise on open slopes independently of the presence of a water channel. They are rapidly-flowing mixtures of unconsolidated rock (usually mainly soil and vegetation) and a high proportion of water. Due to the relatively high water proportion, they move at a high speed (1 - 10 m/s) and have a correspondingly destructive effect. The area affected by the transported material is often between 10 and 100 times bigger than the often very small starting zone. This layer contains a general hazard index map of potential landslides areas based on modelling of the landslide process carried out by the SilvaProtect-CH project. The modelling of the landslide processes does not take the effect of forests into account. 5.140242 45.398181 11.47757 48.230651 ch.bafu.silvaprotect-hangmuren image/png Time current current 2056_26 Snow avalanches (SilvaProtect-CH) During avalanche release, snow suddenly detaches in the starting zone. The detached snow mass slides very quickly along a track or rolls down the slope as a mixture of air and snow. It comes to a halt in a deposition area. This layer contains a general hazard index map of the potential avalanche release areas based on the modelling of the avalanche process carried out by the SilvaProtect-CH project. The modelling of the avalanche processes does not take the effect of forests into account and only include avalanches whose starting zones are located in the forest. 5.140242 45.398181 11.47757 48.230651 ch.bafu.silvaprotect-lawinen image/png Time current current 2056_26 Debris flow (SilvaProtect-CH) Debris flows are slow to fast-flowing mixtures of water and solids with a high proportion of solids (ca. 30% to 60%). Debris flows often move in several pulses and arise in mountain torrent channels and on steep talus slopes. They pose a major risk to settlement areas. This layer contains a general hazard index map of potential debris-flow areas based on the modelling of the debris flow process carried out by the SilvaProtect-CH project. The modelling of the debris flow processes does not take the affect of forests into account. 5.140242 45.398181 11.47757 48.230651 ch.bafu.silvaprotect-murgang image/png Time current current 2056_26 Rockfall (SilvaProtect-CH) Rockfall and large rock avalanches are characterised by the isolated falling movement (falling, jumping, rolling) of individual rocks or boulders of up to several cubic metres in size. They can reach speeds of up to 30 m/s. The moving rocks and boulders generally come to a halt on gradients smaller than 30°. Forests can reduce the kinetic energy of the boulders significantly. This layer contains a general hazard index map of potential rockfall and large rock avalanche trajectories based on the modelling of the rockfall and large rock avalanche process carried out by the SilvaProtect-CH project. The modelling of rockfall processes does not take the effect of forests into account. 5.140242 45.398181 11.47757 48.230651 ch.bafu.silvaprotect-sturz image/png Time current current 2056_26 Overbank sedimentation (SilvaProtect-CH) Overbank sedimentation is the deposition of solids (detritus and coarse gravel) by flowing water outside of channels, usually in the vicinity of the alluvial cones of torrents. This layer contains a general hazard index map of potential overbank sedimentation areas based on the modelling of the overbank sedimentation process carried out by the SilvaProtect-CH project.The modelling of the overbank sedimentation does not take the effect of forests into account. 5.140242 45.398181 11.47757 48.230651 ch.bafu.silvaprotect-uebersarung image/png Time current current 2056_26 Structural quality left bank In 1999, the ICPR Plenary Assembly invited the working group ‘Ecology’ to draft a description of the river structure and to map it on a scale of 1:100,000. The European Water Framework Directive (EC WFD) setting comparable quality targets for all EU water bodies requires an inventory and assessment of the eco-morphological characteristics of watercourses. 5.140242 45.398181 11.47757 48.230651 ch.bafu.strukturguete-hochrhein_linkesufer image/png Time current current 2056_26 Structural quality left area In 1999, the ICPR Plenary Assembly invited the working group ‘Ecology’ to draft a description of the river structure and to map it on a scale of 1:100,000. The European Water Framework Directive (EC WFD) setting comparable quality targets for all EU water bodies requires an inventory and assessment of the eco-morphological characteristics of watercourses. 5.140242 45.398181 11.47757 48.230651 ch.bafu.strukturguete-hochrhein_linkesumfeld image/png Time current current 2056_26 Strucutral quality right bank In 1999, the ICPR Plenary Assembly invited the working group ‘Ecology’ to draft a description of the river structure and to map it on a scale of 1:100,000. The European Water Framework Directive (EC WFD) setting comparable quality targets for all EU water bodies requires an inventory and assessment of the eco-morphological characteristics of watercourses. 5.140242 45.398181 11.47757 48.230651 ch.bafu.strukturguete-hochrhein_rechtesufer image/png Time current current 2056_26 Structural quality right area In 1999, the ICPR Plenary Assembly invited the working group ‘Ecology’ to draft a description of the river structure and to map it on a scale of 1:100,000. The European Water Framework Directive (EC WFD) setting comparable quality targets for all EU water bodies requires an inventory and assessment of the eco-morphological characteristics of watercourses. 5.140242 45.398181 11.47757 48.230651 ch.bafu.strukturguete-hochrhein_rechtesumfeld image/png Time current current 2056_26 Structural quality bed In 1999, the ICPR Plenary Assembly invited the working group ‘Ecology’ to draft a description of the river structure and to map it on a scale of 1:100,000. The European Water Framework Directive (EC WFD) setting comparable quality targets for all EU water bodies requires an inventory and assessment of the eco-morphological characteristics of watercourses. 5.140242 45.398181 11.47757 48.230651 ch.bafu.strukturguete-hochrhein_sohle image/png Time current current 2056_26 Windstorm Gusts 100 The Windstorm Risk Maps show peak wind gusts and their dynamic pressure and the corresponding uncertainties. The maps provide a country-wide basis for the estimation of the regional windstorm risk, however they do not replace the Dynamic Pressure Reference (Standard SIA 261 Annex E). The windstorm risk is calculated on the basis of 83 winter storm periods between 1871 and 2011 and the 20th Century Reanalysis global data. Local influences, summer storms and thunder squalls were not taken into account in the calculations. The values specified for the peak wind gusts should not, therefore, be interpreted as absolutely accurate values and do not replace any location-specific reports. The peak wind gusts are underestimated for exposed Alpine locations (e.g. Jungfraujoch), in particular. 5.140242 45.398181 11.47757 48.230651 ch.bafu.sturm-boeenspitzen_100 image/png Time current current 2056_26 Windstorm Gusts 30 The Windstorm Risk Maps show peak wind gusts and their dynamic pressure and the corresponding uncertainties. The maps provide a country-wide basis for the estimation of the regional windstorm risk, however they do not replace the Dynamic Pressure Reference (Standard SIA 261 Annex E). The windstorm risk is calculated on the basis of 83 winter storm periods between 1871 and 2011 and the 20th Century Reanalysis global data. Local influences, summer storms and thunder squalls were not taken into account in the calculations. The values specified for the peak wind gusts should not, therefore, be interpreted as absolutely accurate values and do not replace any location-specific reports. The peak wind gusts are underestimated for exposed Alpine locations (e.g. Jungfraujoch), in particular. 5.140242 45.398181 11.47757 48.230651 ch.bafu.sturm-boeenspitzen_30 image/png Time current current 2056_26 Windstorm Gusts 300 The Windstorm Risk Maps show peak wind gusts and their dynamic pressure and the corresponding uncertainties. The maps provide a country-wide basis for the estimation of the regional windstorm risk, however they do not replace the Dynamic Pressure Reference (Standard SIA 261 Annex E). The windstorm risk is calculated on the basis of 83 winter storm periods between 1871 and 2011 and the 20th Century Reanalysis global data. Local influences, summer storms and thunder squalls were not taken into account in the calculations. The values specified for the peak wind gusts should not, therefore, be interpreted as absolutely accurate values and do not replace any location-specific reports. The peak wind gusts are underestimated for exposed Alpine locations (e.g. Jungfraujoch), in particular. 5.140242 45.398181 11.47757 48.230651 ch.bafu.sturm-boeenspitzen_300 image/png Time current current 2056_26 Windstorm Gusts 50 The Windstorm Risk Maps show peak wind gusts and their dynamic pressure and the corresponding uncertainties. The maps provide a country-wide basis for the estimation of the regional windstorm risk, however they do not replace the Dynamic Pressure Reference (Standard SIA 261 Annex E). The windstorm risk is calculated on the basis of 83 winter storm periods between 1871 and 2011 and the 20th Century Reanalysis global data. Local influences, summer storms and thunder squalls were not taken into account in the calculations. The values specified for the peak wind gusts should not, therefore, be interpreted as absolutely accurate values and do not replace any location-specific reports. The peak wind gusts are underestimated for exposed Alpine locations (e.g. Jungfraujoch), in particular. 5.140242 45.398181 11.47757 48.230651 ch.bafu.sturm-boeenspitzen_50 image/png Time current current 2056_26 Windstorm Dynamic Pressure 100 The Windstorm Risk Maps show peak wind gusts and their dynamic pressure and the corresponding uncertainties. The maps provide a country-wide basis for the estimation of the regional windstorm risk, however they do not replace the Dynamic Pressure Reference (Standard SIA 261 Annex E). The windstorm risk is calculated on the basis of 83 winter storm periods between 1871 and 2011 and the 20th Century Reanalysis global data. Local influences, summer storms and thunder squalls were not taken into account in the calculations. The values specified for the peak wind gusts should not, therefore, be interpreted as absolutely accurate values and do not replace any location-specific reports. The peak wind gusts are underestimated for exposed Alpine locations (e.g. Jungfraujoch), in particular. 5.140242 45.398181 11.47757 48.230651 ch.bafu.sturm-staudruck_100 image/png Time current current 2056_26 Windstorm Dynamic Pressure 30 The Windstorm Risk Maps show peak wind gusts and their dynamic pressure and the corresponding uncertainties. The maps provide a country-wide basis for the estimation of the regional windstorm risk, however they do not replace the Dynamic Pressure Reference (Standard SIA 261 Annex E). The windstorm risk is calculated on the basis of 83 winter storm periods between 1871 and 2011 and the 20th Century Reanalysis global data. Local influences, summer storms and thunder squalls were not taken into account in the calculations. The values specified for the peak wind gusts should not, therefore, be interpreted as absolutely accurate values and do not replace any location-specific reports. The peak wind gusts are underestimated for exposed Alpine locations (e.g. Jungfraujoch), in particular. 5.140242 45.398181 11.47757 48.230651 ch.bafu.sturm-staudruck_30 image/png Time current current 2056_26 Windstorm Dynamic Pressure 300 The Windstorm Risk Maps show peak wind gusts and their dynamic pressure and the corresponding uncertainties. The maps provide a country-wide basis for the estimation of the regional windstorm risk, however they do not replace the Dynamic Pressure Reference (Standard SIA 261 Annex E). The windstorm risk is calculated on the basis of 83 winter storm periods between 1871 and 2011 and the 20th Century Reanalysis global data. Local influences, summer storms and thunder squalls were not taken into account in the calculations. The values specified for the peak wind gusts should not, therefore, be interpreted as absolutely accurate values and do not replace any location-specific reports. The peak wind gusts are underestimated for exposed Alpine locations (e.g. Jungfraujoch), in particular. 5.140242 45.398181 11.47757 48.230651 ch.bafu.sturm-staudruck_300 image/png Time current current 2056_26 Windstorm Dynamic Pressure 50 The Windstorm Risk Maps show peak wind gusts and their dynamic pressure and the corresponding uncertainties. The maps provide a country-wide basis for the estimation of the regional windstorm risk, however they do not replace the Dynamic Pressure Reference (Standard SIA 261 Annex E). The windstorm risk is calculated on the basis of 83 winter storm periods between 1871 and 2011 and the 20th Century Reanalysis global data. Local influences, summer storms and thunder squalls were not taken into account in the calculations. The values specified for the peak wind gusts should not, therefore, be interpreted as absolutely accurate values and do not replace any location-specific reports. The peak wind gusts are underestimated for exposed Alpine locations (e.g. Jungfraujoch), in particular. 5.140242 45.398181 11.47757 48.230651 ch.bafu.sturm-staudruck_50 image/png Time current current 2056_26 Pollutant releases (SwissPRTR) SwissPRTR is the publicly accessible Swiss Pollutant Release and Transfer Register. It provides information about releases of pollutants and transfers of wastes from facilities and diffuse sources. 5.140242 45.398181 11.47757 48.230651 ch.bafu.swissprtr image/png Time current current 2056_26 Tranquillity Areas Based on the "Tranquillity Map of the Swiss Plateau" and its calculated "tranquillity" values, certain recreational areas were derived. For this purpose, areas that did not fall below a certain "tranquillity" index over at least 500 contiguous grid cells (5 km²) were selected. Using this procedure, 53 large-scale areas could be derived for the Swiss Plateau that are suitable for quiet recreation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.tranquillity-gebiete image/png Time current current 2056_23 Tranquillity Map The "Tranquillity Map of the Swiss Plateau" illustrates where areas of near-natural character and low noise pollution still exist near large settlements within the Swiss Plateau. These areas are suitable for quiet recreation. To create the map, the biogeographical region of the Central Plateau was divided into a grid of 100 x 100 m cell size. By calculating various positive and negative factors that influence the experience of tranquillity and recreation through eyes and ears respectively, a "tranquillity" value was calculated for each grid cell. 5.140242 45.398181 11.47757 48.230651 ch.bafu.tranquillity-karte image/png Time current current 2056_23 Drought warning map The drought warning map shows the current drought hazard (issued at levels 1, 2 and 4) for all regions of Switzerland. The hazard level results from a weekly expert assessment of the current situation and the forecast produced by MeteoSwiss and FOEN. The assessment is based on the measured and modelled development of all variables relevant to drought, such as precipitation sum, soil moisture and discharge/water level. Levels 1 (no or minor risk), 2 (moderate risk) and 4 (high risk) are issued. Levels 3 (considerable risk) and 5 (very high risk) are not used for drought. 5.140242 45.398181 11.47757 48.230651 ch.bafu.trockenheitswarnkarte image/png Time current current 2056_20 River Typology The typology of rivers groups the diversity of Swiss rivers according to abiotic, physiographic criteria, not considering anthropogenic impacts. They are a basis for assessment of the ecological state of rivers and represent a useful guidance for rehabilitation measures. 5.140242 45.398181 11.47757 48.230651 ch.bafu.typisierung-fliessgewaesser image/png Time current current 2056_26 UNESCO World natural heritage The Convention concerning the Protection of the World Cultural and Natural Heritage (World Heritage Convention, SR 0.451.41) was signed at the UNESCO General Conference in 1972. Its objective is to conserve cultural and natural heritage sites of extraordinary universal value as components of world heritage for all humanity. By signing it, a state agrees to protect and preserve specific objects within its borders. To date, Switzerland has suggested 9 cultural and 5 natural heritage sites that UNESCO has added to its world heritage list. 5.140242 45.398181 11.47757 48.230651 ch.bafu.unesco-weltnaturerbe image/png Time current current 2056_26 Water network 1:2,000,000 An extract from the VECTOR25 water network (Federal Office of Topography swisstopo) – version GW07 for the 1:2 million map displays. 5.140242 45.398181 11.47757 48.230651 ch.bafu.vec25-gewaessernetz_2000 image/png Time current current 2056_26 Lakes Extract from the VECTOR25 primary surfaces (lakes) from the Federal Office of Topography swisstopo) supplemented by hydrographical and water supply management values from the Federal Office for the Environment FOEN (natural lakes) and the Swiss Federal Office of Energy SFOE (reservoirs). 5.140242 45.398181 11.47757 48.230651 ch.bafu.vec25-seen image/png Time current current 2056_26 Frequency of Föhn The map shows the average frequency (in %) of the number of Föhn hours per year. A value of e.g. 12 % means that on 44 days in the year the Föhn blows, whereby the duration of the Föhn events varies. The climate stations of MeteoSwiss in the Föhn regions were used as the basis for the calculation (different time periods). For each station the number of hours with Föhn per day was calculated. The criteria for Föhn were as follows:- Relative humidity: during the day < 50 %, at night < 55 %, - Wind speed: > 5 km/h, - Wind direction range: typical wind direction (in °) with Föhn +/- 60°. The evaluations at the stations were then interpolated into the area for the typical Föhn regions. The grey-coloured regions are not considered typical Föhn regions. The frequency of Föhn was not calculated for these regions. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-foehnhaeufigkeit_jahr image/png Time current current 2056_19 Continentality 1000 m 1995 The thermal continentality in °C was calculated as the difference between the highest and lowest value of the daily variation of the temperature of the year in the period under investigation (1981-2010). The map shows the thermal continentality at 1000 m a.s.l. in the year. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-kontinentalitaet_jahr_1000m_1981_2010 image/png Time current current 2056_19 Continentality 1000 m July 1995 The thermal continentality in °C was calculated as the difference between the highest and lowest value of the daily variation of the temperature of July in the period under investigation (1981-2010). The map shows the thermal continentality at 1000 m a.s.l. in July. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-kontinentalitaet_juli_1000m_1981_2010 image/png Time current current 2056_19 Air temperature July 1961-1990 For the area-wide calculation, measured values from MeteoSwiss measuring stations in the period 1961-1990 were used. From the daily temperature curve, the highest temperature is selected, which occurs at all stations in the afternoon around 3 pm due to radiation. The mean maximum value of the daily temperature curve deviates slightly from the average daily maximum of the temperature. The maximum value of the daily variation was considered to be relevant for plants because it is associated with high solar radiation. Temperatures were spatially interpolated and vertically at different altitude levels using gradients. Exposure, radiation, glacier areas and cold air pools were also taken into account. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-lufttemperatur_juli_1961_1990 image/png Time current current 2056_19 Air temperature July 1981-2010 The daily high of the air temperature in July in the diurnal cycle (1981-2010) (for detailed explanations see «Air temperature July 1961-1990»). The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-lufttemperatur_juli_1981_2010 image/png Time current current 2056_19 Air temperature July 2085, RCP 2.6 Mean daily temperature high in July (period 2070-2099). The temperature increase of the climate scenario was added to the map «Air temperature July 1981-2010». Among the representative concentration pathways, RCP 2.6 with the model combination DMI_HIRHAM_ECEARTH_EUR11 was selected as a projection for slight climate change (NCCS 2018; Provision of the data by Remund et al. 2020) to calculate the temperature increase in the future. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-lufttemperatur_juli_2085_gering image/png Time current current 2056_19 Air temperature July 2085, RCP 4.5 Mean daily temperature high in July (period 2070-2099). The temperature increase of the climate scenario was added to the map «Air temperature July 1981-2010». Among the representative concentration pathways, RCP 4.5 with the model combination SMHI-RCA_MPIESM_EUR44 was selected as a projection for moderate climate change (NCCS 2018; Provision of the data by Remund et al. 2020) to calculate the temperature increase in the future. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-lufttemperatur_juli_2085_maessig image/png Time current current 2056_19 Air temperature July 2085, RCP 8.5 Mean daily temperature high in July (period 2070-2099). The temperature increase of the climate scenario was added to the map «Air temperature July 1981-2010». Among the representative concentration pathways, RCP 8.5 with the model combination CLMCOM-CCLM5_HADGEM_EUR44 was selected as a projection for strong climate change (NCCS 2018; Provision of the data by Remund et al. 2020) to calculate the temperature increase in the future. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-lufttemperatur_juli_2085_stark image/png Time current current 2056_19 Precipitation April-August 2085, RCP 2.6 The map shows the precipitation sum (in mm) for the months April to August calculated for the period 2070-2099. The precipitation anomalies of the climate scenario were added to the map «Precipitation April-August 1981-2010», derived from the standard value maps for precipitation from MeteoSwiss. Among the representative concentration pathways, RCP 2.6 with the model combination DMI_HIRHAM_ECEARTH_EUR11 was selected as a projection for slight climate change (NCCS 2018; Provision of the data by Remund et al. 2020) for the calculation of the precipitation sum in the future. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-niederschlag_april_august_2085_gering image/png Time current current 2056_19 Precipitation April-August 2085, RCP 4.5 The map shows the precipitation sum (in mm) for the months April to August calculated for the period 2070-2099. The precipitation anomalies of the climate scenario were added to the map «Precipitation April-August 1981-2010», derived from the standard value maps for precipitation from MeteoSwiss. Among the representative concentration pathways, RCP 4.5 with the model combination SMHI-RCA_MPIESM_EUR44 was selected as a projection for moderate climate change (NCCS 2018; Provision of the data by Remund et al. 2020) for the calculation of the precipitation sum in the future. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-niederschlag_april_august_2085_maessig image/png Time current current 2056_19 Precipitation April-August 2085, RCP 8.5 The map shows the precipitation sum (in mm) for the months April to August calculated for the period 2070-2099. The precipitation anomalies of the climate scenario were added to the map «Precipitation April-August 1981-2010», derived from the standard value maps for precipitation from MeteoSwiss. Among the representative concentration pathways, RCP 8.5 with the model combination CLMCOM-CCLM5_HADGEM_EUR44 was selected as a projection for strong climate change (NCCS 2018; Provision of the data by Remund et al. 2020) for the calculation of the precipitation sum in the future. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-niederschlag_april_august_2085_stark image/png Time current current 2056_19 Precipitation summer 2085, RCP 2.6 The map shows the precipitation sum (in mm) for the months June to August calculated for the period 2070-2099. The precipitation anomalies of the climate scenario were added to the map «Precipitation June-August 1981-2010», derived from the standard value maps for precipitation from MeteoSwiss. Among the representative concentration pathways, RCP 2.6 with the model combination DMI_HIRHAM_ECEARTH_EUR11 was selected as a projection for slight climate change (NCCS 2018; Provision of the data by Remund et al. 2020) for the calculation of the precipitation sum in the future. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-niederschlag_sommer_2085_gering image/png Time current current 2056_19 Precipitation summer 2085, RCP 4.5 The map shows the precipitation sum (in mm) for the months June to August calculated for the period 2070-2099. The precipitation anomalies of the climate scenario were added to the map «Precipitation June-August 1981-2010», derived from the standard value maps for precipitation from MeteoSwiss. Among the representative concentration pathways, RCP 4.5 with the model combination SMHI-RCA_MPIESM_EUR44 was selected as a projection for moderate climate change (NCCS 2018; Provision of the data by Remund et al. 2020) for the calculation of the precipitation sum in the future. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-niederschlag_sommer_2085_maessig image/png Time current current 2056_19 Precipitation summer 2085, RCP 8.5 The map shows the precipitation sum (in mm) for the months June to August calculated for the period 2070-2099. The precipitation anomalies of the climate scenario were added to the map «Precipitation June-August 1981-2010», derived from the standard value maps for precipitation from MeteoSwiss. Among the representative concentration pathways, RCP 8.5 with the model combination CLMCOM-CCLM5_HADGEM_EUR44 was selected as a projection for strong climate change (NCCS 2018; Provision of the data by Remund et al. 2020) for the calculation of the precipitation sum in the future. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-niederschlag_sommer_2085_stark image/png Time current current 2056_19 Upper timberline This map shows the natural upper timberline (excluding anthropogenic influences and without considering shrub forest) modelled for the periods 1961–1990, 1981–2010 and 2070–2099. The following representative concentration pathways (RCPs) and model combinations were used to model the future timberline:<br> - RCP 2.6 (Paris Agreement compliance scenario), with the model combination DMI_HIRHAM_ECEARTH_EUR11 as the projection for slight climate change, <br> - RCP 4.5 (limited mitigation scenario), with the model combination SMHI-RCA_MPIESM_EUR44 as the projection for moderate climate change, <br> - RCP 8.5 (no mitigation scenario) with the model combination CLMCOM-CCLM5_HADGEM_EUR44 as the projection for strong climate change. <br> The position of the upper timberline according to the digital height model (DHM25) is a function of the mean daily temperature high in July, the mean July precipitation, the mean snow-free period, the exposure, the slope and the bedrock. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-obere_waldgrenze image/png Time current current 2056_19 Rel. air humidity year, 1981-2010 The map shows the mean relative air humidity at 13:30 in the year for the period 1981-2010. For the area-wide calculation the climate stations of MeteoSwiss served as support points. The relative air humidity was interpolated areally at different elevation levels and vertically using gradients. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-relative_luftfeuchte_jahr_1981_2010 image/png Time current current 2056_19 Rel. air humidity July, 1981-2010 The map shows the mean relative air humidity at 13:30 in July for the period 1981-2010. For the area-wide calculation the climate stations of MeteoSwiss served as support points. The relative air humidity was interpolated areally at different elevation levels and vertically using gradients. The resulting map has a spatial resolution of 25 m x 25 m. It was used for modelling altitudinal belts of forest vegetation. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-relative_luftfeuchte_juli_1981_2010 image/png Time current current 2056_19 Forest Reserves Forest reserves are designated for the long-term protection of ecological and biological diversity in the forest. They enable the completely natural development of the forest ecosystem from both a spatial and temporal perspective (protection of processes in natural forest reserves). They also facilitate the conservation of special habitats for particular species that require targeted support (in “special forest reserves” or “reserves subject to special interventions”). Reserve perimeters can also include areas of non-forest. The authority for the establishment of forest reserves lies with the canton. They deliver data of their reserves in order to compile a national statistic. Additionally, some cantons also deliver data on forests protected through ordinance or decree (e.g. cantonal swamp forests, forests in natural parks), which are also shown. Forest reserves are defined in their protection according to the Wien Resolution 4, Appendix 2, of the Conference of the European forest ministers. This lists 3 categories of protection (1.1 no intervention, 1.2 minimal interventions, 1.3 Conservation through active management), whilst Swiss forestry uses 2 categories (natural forest reserves and special forest reserves). Special forest reserves are assigned to category 1.3, while natural forest reserves are assigned to categories 1.1 or 1.2 depending on their specific contractual arrangement. Cantonal reserves established through decree or ordinance are also categorized according to the Wien Resolution by the Canton. 5.140242 45.398181 11.47757 48.230651 ch.bafu.waldreservate image/png Time current current 2056_25 Lothar storm damage The aim of the federal government’s “Lothar” storm damage inventory was to produce a complete and uniform database of total and partial damage to forests throughout Switzerland. The following criteria and conditions were defined for this purpose: Area of total damage: Destroyed forest with a maximum degree of vegetation cover of the residual stand of <= 0.2 (20%), regardless of the previous vegetation cover of the forest. Area of partial damage: Partially destroyed forest with a residual stand in the upper layer and a degree of vegetation cover between 0.2 and 0.6; areas with a degree of vegetation cover >= 0.6 no longer qualify as areas of storm damage. Examples of delimitation problems relating to areas of total and partial damage are presented in chapter 8 (red boundaries on slides), together with the corresponding solutions. Areas of forest which had a low degree of vegetation cover before the occurrence of storm damage (e.g. woodlands with loose stands) represent particularly difficult challenges in terms of aerial photo interpretation. The examples shown in chapter 7.5 served as aids for estimating degrees of cover. Minimal areas: 1 hectare per recorded area. A template (slide) for various aerial image scales was used for verifying the elimination of stands. Collective forest areas: If areas of different types of damage existed, the entire area had to exceed 1 hectare. In some cases, a partial area may be less than 1 hectare. 5.140242 45.398181 11.47757 48.230651 ch.bafu.waldschadenflaechen-lothar image/png Time current current 2056_26 Vivian storm damage Federal government inventory of damage caused by “Vivian” in February 1990: database of areas of total damage in forests. Defined criteria and conditions: Area of total damage: Destroyed forest with a maximum vegetation cover of the residual stand of <= 0.2 (20%), regardless of the previous vegetation cover of the forest. Minimal area: 0.2 hectares per recorded area. Location characteristics: For each area of damage, the main characteristics for input were slope steepness, altitude and exposure. Input and evaluation units: The smallest input unit was area of storm damage, while the smallest evaluation unit was the political municipality. The digitised municipal boundary data of the Federal Office of Topography were adopted for the territorial allocation of these two units. 5.140242 45.398181 11.47757 48.230651 ch.bafu.waldschadenflaechen-vivian image/png Time current current 2056_26 Forest ecoregions The map shows the Forest Ecoregions. They differ in terms of climatic factors, forest vegetation and altitudinal vegetation belts. The southernmost tip of Ticino is considered to be similar to the Plateau region regarding climatological characteristics. The Forest Ecoregions were developed for "Sustainability and success monitoring in protection forests" (Frehner et al. 2005). Detailed information is available at https://www.gebirgswald.ch/de/nais-download.html In the regions "Northern intermediate Alps free from beech", "Continental Alps" and "Southern intermediate Alps" beech does not occur, in all other regions it occurs. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-standortsregionen image/png Time current current 2056_27 Areas of silver fir The map shows the areas of silver fir occurrence. In the main area, fir is naturally involved to a considerable extent in the stand development in the upper montane and high-montane vegetation belts. In the secondary area, its vitality is lower than in the main area. Depending on the region and ecotype, it is still involved to varying degrees in the stand build-up. In the relict area it occurs at most in small, isolated stands as relics of a formerly larger fir area.The areas of silver fir were developed for "Sustainability and success monitoring in protection forests" (Frehner et al. 2005). Detailed information is available at https://www.gebirgswald.ch/de/nais-download.html 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-tannenareale image/png Time current current 2056_27 Altitudinal zones 1975 This map shows the altitudinal belts of forest vegetation in Switzerland for the period 1961-1990. The following altitudinal vegetation belts only occur in the southern valleys: «hyperinsubric», «collin with beech», and «lower/upper montane». To derive the map, the altitudinal vegetation belts presented in Frehner et al. (2005/2009) were quantified and refined. For this purpose, their respective upper boundaries were modelled and combined with models of the beech area and fir areas (main, secondary and relict areas) (Zischg et al. subm.). The natural upper timberline was also modelled using an analogous procedure (Könz et al. 2021). Climate parameters and geological basic information were used as a basis for modelling of the boundaries and areas. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-vegetationshoehenstufen_1975 image/png Time current current 2056_27 Altitudinal zones 2085 dry This map shows the altitudinal vegetation belts of forest vegetation in Switzerland for the period 2070-2099 assuming a dry future climate. The following altitudinal vegetation belts only occur in the southern valleys: «mediterranean», «hyperinsubric», «colline with beech», and «lower/upper montane». The map «Modelled altitudinal vegetation belts for 1995» serves as a basis for the shift of the altitudinal vegetation belts into the future. Among the representative concentration pathways, RCP 8.5 with the model combination CLMCOM-CCLM5_HADGEM_EUR44 was selected as a «dry» model (NCCS 2018). This model projects an average warming of 4.4 °C (northern and southern Switzerland) and a reduction in precipitation of 17.0% (northern Switzerland) or 24.9% (southern Switzerland) for the months April-August, which are considered most relevant for the climate suitability of trees, compared to the period 1981-2010 (Remund 2020). The natural upper timberline was also modelled using an analogous procedure (Könz et al. 2021). --- Source: Zischg et al. (subm.) 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-vegetationshoehenstufen_2085_trocken image/png Time current current 2056_27 Altitudinal zones 2085 less dry This map shows the altitudinal vegetation belts of forest vegetation in Switzerland for the period 2070-2099 assuming a less dry future climate. The following altitudinal vegetation belts only occur in the southern valleys: «mediterranean», «hyperinsubric», «colline with beech», and «lower/upper montane». The map «Modelled altitudinal vegetation belts for 1995» serves as a basis for the shift of the altitudinal vegetation belts into the future. Among the Representative concentration pathways, RCP 4.5 with the model combination SMHI-RCA_MPIESM_EUR44 was selected as the «less dry» projection (NCCS 2018). This model projects an average warming of 1.8 °C (northern Switzerland) or 2.3 °C (southern Switzerland) and a reduction in precipitation of 4.0% (northern Switzerland) or 0.5% (southern Switzerland) for the months April-August, which are considered most relevant for the climate suitability of trees, compared to the period 1981-2010 (Remund 2020). The natural upper timberline was also modelled using an analogous procedure (Könz et al. 2021). --- Source: Zischg et al. (subm.) 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-vegetationshoehenstufen_2085_weniger_trocken image/png Time current current 2056_27 Water availability in the soil The trees often have less water available during the vegetation period.•The water supply during the vegetation period is decisive for the growth and vitality of the forests. The availability of water can be calculated from the difference between precipitation and potential evaporation. This is the climatic water balance. If the soil reservoir is added, the site water balance is calculated. •The site water balance is closely related to the occurrence of trees, their vitality and growth. •The tree species have different demands on the water supply. While oaks are frugal, spruce need considerably more water during the vegetation period. •Trend: Return and expansion of yellow to red areas increase in the period 1981-2018. Period 1981-2018, April to August, spatial resolution 250m x 250m. Source: Remund et al. (2016). 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-wasserverfuegbarkeit_boden image/png Time 2018 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 2056_18 Water availability for plants Too little water is available to the trees more and more often:•The vegetation and soil release water into the atmosphere, even moreso the warmer and drier the air. Plants evaporate water through their leaves. Evapotranspiration is the sum of the water released into the atmosphere. •The current evapotranspiration (ETa) depends on the availability of water, i.e. on the amount of precipitation and the capacity of the soil to store rainwater. The potential evapotranspiration (ETp) is the amount of water that would be released into the atmosphere if sufficient water were available. •Below an ETa/ETp ratio of 0.8, drought is likely to affect the plant, as the stomata in the leaves are often closed and the trees limit photosynthesis. •In light and especially dark blue areas there are no disturbances to be expected. •In areas marked yellow to red, the trees can be expected to be affected by drought, especially in the wine red areas. •Trend: Return and expansion of yellow to red areas increase in the period 1981-2018. Period 1981-2018, April to August, spatial resolution 250m x 250m. Source: Remund et al. (2016). 5.140242 45.398181 11.47757 48.230651 ch.bafu.wald-wasserverfuegbarkeit_pflanzen image/png Time 2018 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 2056_18 Cross section securing point The map shows the reaches of watercourses which are currently surveyed periodically under the leadership of the FOEN. They are usually surveyed every 10 years or after major floods which cause significant morphological changes. The aims of periodic surveying are to identify morphological trends (erosion, aggradation) at an early stage as well as their effects on the stability of flood protection structures or discharge capacity, to provide long-term time series on channel changes as a basis for quantifying the bed-load regime, and to provide current data for planning and risk assessment. The survey data is managed by the Risk Management section of the Hazard Prevention Division 5.140242 45.398181 11.47757 48.230651 ch.bafu.wasserbau-querprofilmarken image/png Time current current 2056_26 Surveyed sections The map shows the reaches of watercourses which are currently surveyed periodically under the leadership of the FOEN. They are usually surveyed every 10 years or after major floods which cause significant morphological changes. The aims of periodic surveying are to identify morphological trends (erosion, aggradation) at an early stage as well as their effects on the stability of flood protection structures or discharge capacity, to provide long-term time series on channel changes as a basis for quantifying the bed-load regime, and to provide current data for planning and risk assessment. The survey data is managed by the Risk Management section of the Hazard Prevention Division. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wasserbau-vermessungsstrecken image/png Time current current 2056_26 Catchment The Federal Act of 24 January 1991 on the Protection of Water against Pollution (LPEP) and its provisions on residual flows came into force on November 1, 1992 in Kraft getreten. Under Article 80 ff LPEP, remedial measures must be taken, where possible, on existing residual flows by order of the authorities. The first step in the remedial process for cantons is to build an inventory of existing water catchments and submit it to the federal government. Cantons evaluate the indexed water catchments and decide whether and how necessary it is to take remedial actions. They record the results of their analysis and submit the report to the federal government. In order to review enforcement of the LPEP as concerns residual flows / remedial measures and provide information to the public and other interested bodies, the data on the water catchments submitted by the cantons is presented in a national residual flow map (Scale 1 : 200,000). 5.140242 45.398181 11.47757 48.230651 ch.bafu.wasser-entnahme image/png Time current current 2056_26 Area outlets The "Area outlets" data set is part of the "Topographical catchment areas of Swiss waterbodies" geodata set. It consists of point objects that represent the area outlets for a possible total of some 22,000 combined catchment areas. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wasser-gebietsauslaesse image/png Time current current 2056_26 Supply The Federal Act of 24 January 1991 on the Protection of Water against Pollution (LPEP) and its provisions on residual flows came into force on November 1, 1992 in Kraft getreten. Under Article 80 ff LPEP, remedial measures must be taken, where possible, on existing residual flows by order of the authorities. The first step in the remedial process for cantons is to build an inventory of existing water catchments and submit it to the federal government. Cantons evaluate the indexed water catchments and decide whether and how necessary it is to take remedial actions. They record the results of their analysis and submit the report to the federal government. In order to review enforcement of the LPEP as concerns residual flows / remedial measures and provide information to the public and other interested bodies, the data on the water catchments submitted by the cantons is presented in a national residual flow map (Scale 1 : 200,000). 5.140242 45.398181 11.47757 48.230651 ch.bafu.wasser-leitungen image/png Time current current 2056_26 Return flows The Federal Act of 24 January 1991 on the Protection of Water against Pollution (LPEP) and its provisions on residual flows came into force on November 1, 1992 in Kraft getreten. Under Article 80 ff LPEP, remedial measures must be taken, where possible, on existing residual flows by order of the authorities. The first step in the remedial process for cantons is to build an inventory of existing water catchments and submit it to the federal government. Cantons evaluate the indexed water catchments and decide whether and how necessary it is to take remedial actions. They record the results of their analysis and submit the report to the federal government. In order to review enforcement of the LPEP as concerns residual flows / remedial measures and provide information to the public and other interested bodies, the data on the water catchments submitted by the cantons is presented in a national residual flow map (Scale 1 : 200,000). 5.140242 45.398181 11.47757 48.230651 ch.bafu.wasser-rueckgabe image/png Time current current 2056_26 2 km² sub catchment areas The data set ‹sub-basins 2 km²› is the central element of the geodata set. It is made up of a comprehensive mosaic of over 22,000 topographically defined sub-basin areas that can be quickly and simply combined with overall catchment areas in each GIS thanks to its hierarchical structure. The polygons in the overall catchment areas can be freely accessed in a separate data set. This derivative of a geo data set contains a series of already calculated figures for land cover and physical geography. The relevant overall catchment area is presented in the federal map viewer (www.map.geo.admin.ch) by clicking on the layer. Various figures in this region are also visible. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wasser-teileinzugsgebiete_2 image/png Time current current 2056_25 40 km² sub catchment areas The "40 km² catchment areas" data set is one of four possible aggregation levels for the "Topographical catchment areas of Swiss waterbodies" geodata set. It consists of a comprehensive mosaic of some 1200 topographically defined sub-catchment areas. These are, wherever possible, coordinated with the base areas of the Hydrological Map of Switzerland (HADES). 5.140242 45.398181 11.47757 48.230651 ch.bafu.wasser-teileinzugsgebiete_40 image/png Time current current 2056_26 Main river section The data set “Main river section” is part of the geo dataset “Swiss water topographical catchment areas”. The main river in ​​a catchment area is the body of water that leaves the catchment area through the area outlet. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wasser-vorfluter image/png Time current current 2056_26 Wildlife reserves Wildlife reserves are created to protect selected mammals and birds and their habitats. The 43 federal wildlife reserves listed here are based on Art. 11 of the Swiss Hunting Act. Winter sports may only be practised on marked routes. Participants in winter sports are therefore subject to the same access restrictions as those for statutory wildlife areas with designated routes. Within statutory designated wildlife areas and wildlife reserves, only permitted paths and trails marked on the map may be accessed. Prepared cross-country skiing trails, winter hiking trails and roads that are cleared or passable in winter are not shown on the map. Participants in winter sports may, of course, use these routes. Ski lifts and aerial cableways are marked in the wildlife reserves (federal game reserves). They indicate where there are infrastructures that may be used for winter sports, along with the corresponding ski slopes. Ski slopes are not shown. The campaign “Respektiere deine Grenzen” ("Respect your limits") is committed to protecting wildlife and raising public awareness of wildlife reserves. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wrz-jagdbanngebiete_select image/png Time current current 2056_26 Designated wildlife areas Wildlife requires areas of refuge in which it will not be disturbed. In accordance with Article 7 Paragraph 4 of the Swiss Hunting Act (HuntA), designated wildlife areas are designed to prevent excessive interference due the increase in recreational activities. There are now statutory wildlife areas and reserves which are delineated through a legislative process (cantonal hunting law, municipal zone planning, etc.), as well as recommended wildlife areas and reserves. Within statutory designated wildlife areas and wildlife reserves, only permitted paths and trails marked on the map may be accessed. Prepared cross-country skiing trails, winter hiking trails and roads that are cleared or passable in winter are not shown on the map. Participants in winter sports may, of course, use these routes. In recommended wildlife areas, the permitted paths and trails are to be understood as suggestions. The status of the work currently varies significantly between cantons, which is why the dataset is incomplete. The map is updated at least once a year (at the start of winter). Please take note of the general information and changes below (e.g. perimeter adjustments), which have not yet been incorporated into the map. The campaign “Respektiere deine Grenzen” ("Respect your limits") is committed to protecting wildlife and raising public awareness of wildlife reserves. 5.140242 45.398181 11.47757 48.230651 ch.bafu.wrz-wildruhezonen_portal image/png Time current current 2056_26 Radon map The radon map indicates the probability (in %) of exceeding the reference value of the radon concentration of 300 Bq/m3 in a building. However, only a measurement can determine the radon concentration in a specific, existing building. The list of approved measuring services is available at www.ch-radon.ch. Recommendations regarding protective measures against radon in new constructions are currently being drawn up. The confidence index (high, medium, low, very low) indicates the reliability of the estimated probability. 5.140242 45.398181 11.47757 48.230651 ch.bag.radonkarte image/png Time current current 2056_21 TBE: Side of tick bite reported Tick-borne encephalitis (TBE) is an infectious viral disease transmitted by ticks, which is subject to a statutory duty to report. This map shows in orange the communes in which at least one case of TBE was reported in the period 2012-2024. 5.140242 45.398181 11.47757 48.230651 ch.bag.zecken-fsme-faelle image/png Time current current 2056_26 TBE: recommendation of vaccination Tick-borne encephalitis (TBE) is an infectious disease that is caused by the TBE virus and can give rise to meningitis. The disease is transmitted via bites from infected ticks. This map shows the areas where vaccination against TBE is recommended. 5.140242 45.398181 11.47757 48.230651 ch.bag.zecken-fsme-impfung image/png Time current current 2056_26 Tick bite model The Federal Office of Public Health presents the updated “Tick Hazard Model” of Switzerland and the Principality of Liechtenstein. It shows the static geographical distribution of areas where ticks can establish themselves and survive in nature. The representation of the different levels of tick hazard is based on a colour scale with red zones of high tick hazard and blue zones of no tick hazard. The conditions on which the model is based correspond to early summer weather: mild and humid weather conditions with temperatures of 15 to 20 degrees Celsius and a relative humidity of 80 %. Tick bite risk is the product of tick hazard potential and exposure – where and how often people spend time outside. To get an idea of the current tick risk, the present "Tick Hazard Model" has to be combined with outdoor activity and current weather conditions. Furthermore, tick activity is subject to seasonality; it starts in early spring with temperatures starting at seven degrees Celsius, increases steadily in spring and early summer until the first summer heat. After several days with temperatures well above 30 degrees Celsius and bright sunshine, tick activity and thus the risk of tick bites collapses. In autumn, when temperatures drop, and relative humidity rises again, the chance of ticks bites increases again. If the temperature is below seven degrees Celsius, the risk of tick bites decreases because the ticks reduce their bodily functions in order to survive the winter in a dormant state. 5.140242 45.398181 11.47757 48.230651 ch.bag.zeckenstichmodell image/png Time current current 2056_27 ISOS - Site records The Inventory of Swiss Heritage Sites (ISOS) designates and documents the most valuable sites of national importance. It makes it possible to understand the history and identity of sites and is thus an important basis for quality settlement development. Work on the ISOS began in 1973 with the development of a suitable method for cataloguing sites – the ISOS method. In 2016, the Federal Office of Culture (FOC) updated this method and adapted the presentation of the inventory in line with GIS technology. The original method (ISOS I) and the adapted method (ISOS II) are based on the same basic principles and rules. This portal presents the ISOS site records currently in use. There are two kinds of data: 1. the site records prepared using the ISOS I method, which are only available as PDFs; 2. the site records updated using the ISOS II method, which are available as PDFs and geodata. Please be aware that only the PDFs are legally valid. The geodata are for information purposes only. The level of detail increases as the scale increases. The ISOS is currently being revised and the revision is taking place in stages. This means that for a certain period of time, site records compiled using the ISOS I method and those updated using the ISOS II method will coexist on this portal. Once the revision for the whole of Switzerland has been completed, only the site records compiled using the ISOS II method will be available. This layer presents the site records of the ISOS sites. It is updated once a year. The information is clearest when this layer is placed under the “photos” layer. All ISOS data (plans, texts, photos) are the intellectual property of the Swiss federal government (© FOC, Bern). For detailed information on ISOS, see www.isos.ch. 5.140242 45.398181 11.47757 48.230651 ch.bak.bundesinventar-schuetzenswerte-ortsbilder image/png Time current current 2056_26 ISOS - Photos The Inventory of Swiss Heritage Sites (ISOS) designates and documents the most valuable sites of national importance.Work on the ISOS began in 1973 with the development of a suitable method for cataloguing sites – the ISOS method. In 2016, the Federal Office of Culture (FOC) updated this method and adapted the presentation of the inventory in line with GIS technology. The original method (ISOS I) and the adapted method (ISOS II) are based on the same basic principles and rules. This portal presents the ISOS site records currently in use. There are two kinds of data: 1. the site records prepared using the ISOS I method, which are only available as PDFs; 2. the site records updated using the ISOS II method, which are available as PDFs and geodata. Please be aware that only the PDFs are legally valid. The geodata are for information purposes only. The level of detail increases as the scale increases. The ISOS is currently being revised and the revision is taking place in stages. This means that for a certain period of time, site records compiled using the ISOS I method and those updated using the ISOS II method will coexist on this portal. Once the revision for the whole of Switzerland has been completed, only the site records compiled using the ISOS II method will be available. This layer presents the photos for the site records updated using the ISOS II method. It is updated once a year. The information is clearest when this layer is placed over the “site records” layer. The photos can be viewed from a scale of 1: 50,000. All ISOS data (plans, texts, photos) are the intellectual property of the Swiss federal government (© FOC, Bern). For detailed information on ISOS, see www.isos.ch. 5.140242 45.398181 11.47757 48.230651 ch.bak.bundesinventar-schuetzenswerte-ortsbilder_fotos image/png Time current current 2056_26 Sites for Yenish, Sinti and Roma The collection of geodata "Sites, transit sites and places of transit for Yenish, Sinti and Roma people" contains information on the areas reserved for the transit and stationing of Yenish, Sinti and Roma, who predominantly lead a itinerant lifestyle. The establishment and management of the areas is mainly the responsibility of the cantons and municipalities. At the national level, the Federal Office of Culture is responsible. The collection is published by the Federal Office of Culture in cooperation with the Foundation "Future for Swiss Travellers" and the Federal Office for Spatial Development ARE. 5.140242 45.398181 11.47757 48.230651 ch.bak.halteplaetze-jenische_sinti_roma image/png Time current current 2056_23 Number of service providers The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of operators per grid square that are likely to provide services either on their own connections or via wholesale services. Clicking on a grid square will show a list of the companies. Clicking on the company name will link to the company's website. This will give information about the company's own telecom services and/or telecom services offered by partners. The list is not complete. The actual coverage situation should be determined by making enquiries with the service providers. 5.140242 45.398181 11.47757 48.230651 ch.bakom.anbieter-eigenes_festnetz image/png Time current current 2056_26 Optical fibre FTTB/FTTH The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of buildings in which access is offered over an optical fibre connection (in percent of building connections according to data from the Swiss Federal Statistical Office). The optical fibre connection extends at least as far as the building (Fibre To The Building FTTB). In some cases the optical fibre connection is brought into the home/business (Fibre To The Home FTTH) via internal cabling. However, this information cannot be shown on this map. Representation of the coverage situation is purely indicative. The actual coverage situation should be determined by making enquiries with the service providers. In this respect, please see the additional information on the 'Number of connection providers' map. 5.140242 45.398181 11.47757 48.230651 ch.bakom.anschlussart-glasfaser image/png Time current current 2056_26 Coaxial cable The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of buildings in which access is offered over a coaxial connection (cable TV connection) (in percent of building connections according to data from the Swiss Federal Statistical Office). Representation of the coverage situation is purely indicative. The actual coverage situation should be determined by making enquiries with the service providers. In this respect see the additional information 'Number of connection providers'. 5.140242 45.398181 11.47757 48.230651 ch.bakom.anschlussart-koaxialkabel image/png Time current current 2056_26 Copper wire The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of buildings in which access is offered over a copper connection (telephone line) (in percent of building connections according to data from the Swiss Federal Statistical Office). Representation of the coverage situation is purely indicative. The actual coverage situation should be determined by making enquiries with the service providers. In this respect see the additional information 'Number of connection providers'. 5.140242 45.398181 11.47757 48.230651 ch.bakom.anschlussart-kupferdraht image/png Time current current 2056_26 Download ≥ 10 Mbit/s The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of buildings in which an internet download speed of 10 Mbit/s or more is offered over the fixed network (in percent of building connections according to data from the Swiss Federal Statistical Office). Representation of the coverage situation is purely indicative. The actual coverage situation should be determined by making enquiries with the service providers. In this respect see the additional information 'Number of connection providers'. 5.140242 45.398181 11.47757 48.230651 ch.bakom.downlink10 image/png Time current current 2056_26 Download ≥ 100 Mbit/s The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of buildings in which an internet download speed of 100 Mbit/s or more is offered over the fixed network (in percent of building connections according to data from the Swiss Federal Statistical Office). Representation of the coverage situation is purely indicative. The actual coverage situation should be determined by making enquiries with the service providers. In this respect see the additional information 'Number of connection providers'. 5.140242 45.398181 11.47757 48.230651 ch.bakom.downlink100 image/png Time current current 2056_26 Download ≥ 1000 Mbit/s The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of buildings in which an internet download speed of 1000 Mbit/s or more is offered over the fixed network (in percent of building connections according to data from the Swiss Federal Statistical Office). Representation of the coverage situation is purely indicative. The actual coverage situation should be determined by making enquiries with the service providers. In this respect see the additional information 'Number of connection providers'. 5.140242 45.398181 11.47757 48.230651 ch.bakom.downlink1000 image/png Time current current 2056_26 Download ≥ 30 Mbit/s The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of buildings in which an internet download speed of 30 Mbit/s or more is offered over the fixed network (in percent of building connections according to data from the Swiss Federal Statistical Office). Representation of the coverage situation is purely indicative. The actual coverage situation should be determined by making enquiries with the service providers. In this respect see the additional information 'Number of connection providers'. 5.140242 45.398181 11.47757 48.230651 ch.bakom.downlink30 image/png Time current current 2056_26 Download ≥ 300 Mbit/s The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of buildings in which an internet download speed of 300 Mbit/s or more is offered over the fixed network (in percent of building connections according to data from the Swiss Federal Statistical Office). Representation of the coverage situation is purely indicative. The actual coverage situation should be determined by making enquiries with the service providers. In this respect see the additional information 'Number of connection providers'. 5.140242 45.398181 11.47757 48.230651 ch.bakom.downlink300 image/png Time current current 2056_26 Download ≥ 500 Mbit/s The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of buildings in which an internet download speed of 500 Mbit/s or more is offered over the fixed network (in percent of building connections according to data from the Swiss Federal Statistical Office). Representation of the coverage situation is purely indicative. The actual coverage situation should be determined by making enquiries with the service providers. In this respect see the additional information 'Number of connection providers'. 5.140242 45.398181 11.47757 48.230651 ch.bakom.downlink500 image/png Time current current 2056_26 3G - UMTS / HSPA The broadband map provides an overview of Switzerland's access to modern telecommunications networks. The coverage situation of mobile communication networks is shown in the form of statistical data per grid square (100 x 100 metres). For each cell, you can see the number of operators theoretically providing an outdoor 3G connection (on the street, in a public square, etc.). The coverage shown on the map is an compilation of the data provided by the different mobile network operators. Information on the coverage is calculated using predictive models and does not guarantee accuracy. The actual coverage situation should be determined by making enquiries with the service providers: <a href="https://www.salt.ch/fr/coverage/">Salt</a>, <a href="https://sunrise.mapplus.ch/">Sunrise UPC</a>, <a href="https://scmplc.begasoft.ch/plcapp/pages/gis/netzabdeckung.jsf">Swisscom</a> 5.140242 45.398181 11.47757 48.230651 ch.bakom.mobilnetz-3g image/png Time current current 2056_26 4G - LTE / LTE-A The broadband map provides an overview of Switzerland's access to modern telecommunications networks. The coverage situation of mobile communication networks is shown in the form of statistical data per grid square (100 x 100 metres). For each cell, you can see the number of operators theoretically providing an outdoor 4G connection (on the street, in a public square, etc.). The coverage shown on the map is an compilation of the data provided by the different mobile network operators. Information on the coverage is calculated using predictive models and does not guarantee accuracy. The actual coverage situation should be determined by making enquiries with the service providers: <a href="https://www.salt.ch/fr/coverage/">Salt</a>, <a href="https://sunrise.mapplus.ch/">Sunrise UPC</a>, <a href="https://scmplc.begasoft.ch/plcapp/pages/gis/netzabdeckung.jsf">Swisscom</a> 5.140242 45.398181 11.47757 48.230651 ch.bakom.mobilnetz-4g image/png Time current current 2056_26 5G - NR The broadband map provides an overview of Switzerland's access to modern telecommunications networks. The coverage situation of mobile communication networks is shown in the form of statistical data per grid square (100 x 100 metres). For each cell, you can see the number of operators theoretically providing an outdoor 5G connection (on the street, in a public square, etc.). The coverage shown on the map is an compilation of the data provided by the different mobile network operators. Information on the coverage is calculated using predictive models and does not guarantee accuracy. The actual coverage situation should be determined by making enquiries with the service providers: <a href="https://www.salt.ch/fr/coverage/">Salt</a>, <a href="https://sunrise.mapplus.ch/">Sunrise UPC</a>, <a href="https://scmplc.begasoft.ch/plcapp/pages/gis/netzabdeckung.jsf">Swisscom</a> 5.140242 45.398181 11.47757 48.230651 ch.bakom.mobilnetz-5g image/png Time current current 2056_21 Emergency calls by comune An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. In each comune the emergency call 1XX must be routed to a precise alarm center of the competent emergency service. A routing number is assigned to each emergency call service 1XX. Some communes can be divided in different parts having different routing numbers for all or some of the emergency call services. They can also have different alarm centers. They are called special territories. This map allows to identify for each Swiss comune and for special territories the routing numbers and alarm centers for all emergency calls 1XX done over a fixed network, a mobile network or a satellite network. Special territories are identified on the map with a specific color. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf image/png Time current current 2056_27 112 Fixed network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 112 originated from a fixed network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-112_festnetz image/png Time current current 2056_27 112 Mobile network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 112 originated from a mobile network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-112_mobilnetz image/png Time current current 2056_27 112 Alarm centers An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. The map shows the intervention regions of 112 alarm centers in Switzerland for emergency calls 112 originated from a fixed, mobile and satellite network. The 112 alarm centers and corresponding routing numbers of any intervention region are identified when selecting the targeted intervention region. The 112 fixed, mobile and satellite alarm centers of the intervention region can be the same alarm center or different alarm centers. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-112_zentral image/png Time current current 2056_25 117 Fixed network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 117 originated from a fixed network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-117_festnetz image/png Time current current 2056_27 117 Mobile network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 117 originated from a mobile network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-117_mobilnetz image/png Time current current 2056_27 117 Alarm centers An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. The map shows the location of 117 alarm centers in Switzerland for emergency calls 117 originated from a fixed, mobile and satellite network. The 117 alarm centers and corresponding routing numbers of any intervention region are identified when selecting the targeted intervention region. The 117 fixed, mobile and satellite alarm centers of the intervention region can be the same alarm center or different alarm centers. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-117_zentral image/png Time current current 2056_25 118 Fixed network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 118 originated from a fixed network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-118_festnetz image/png Time current current 2056_27 118 Mobile network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 118 originated from a mobile network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-118_mobilnetz image/png Time current current 2056_27 118 Alarm centers An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. The map shows the location of 118 alarm centers in Switzerland for emergency calls 118 originated from a fixed, mobile and satellite network. The 118 alarm centers and corresponding routing numbers of any intervention region are identified when selecting the targeted intervention region. The 118 fixed, mobile and satellite alarm centers of the intervention region can be the same alarm center or different alarm centers. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-118_zentral image/png Time current current 2056_25 142 Fixed network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 142 originated from a fixed network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-142_festnetz image/png Time current current 2056_27 142 Mobile network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 142 originated from a mobile network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-142_mobilnetz image/png Time current current 2056_27 142 Alarm centers An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. The map shows the location of 142 alarm centers in Switzerland for emergency calls 142 originated from a fixed, mobile and satellite network. The 142 alarm centers and corresponding routing numbers of any intervention region are identified when selecting the targeted intervention region. The 142 fixed, mobile and satellite alarm centers of the intervention region can be the same alarm center or different alarm centers. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-142_zentral image/png Time current current 2056_25 143 Fixed network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 143 originated from a fixed network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-143_festnetz image/png Time current current 2056_27 143 Mobile network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 143 originated from a mobile network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-143_mobilnetz image/png Time current current 2056_27 143 Alarm centers An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. The map shows the location of 143 alarm centers in Switzerland for emergency calls 143 originated from a fixed, mobile and satellite network. The 143 alarm centers and corresponding routing numbers of any intervention region are identified when selecting the targeted intervention region. The 143 fixed, mobile and satellite alarm centers of the intervention region can be the same alarm center or different alarm centers. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-143_zentral image/png Time current current 2056_25 144 Fixed network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 144 originated from a fixed network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-144_festnetz image/png Time current current 2056_27 144 Mobile network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 144 originated from a mobile network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-144_mobilnetz image/png Time current current 2056_27 144 Alarm centers An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. The map shows the location of 144 alarm centers in Switzerland for emergency calls 144 originated from a fixed, mobile and satellite network. The 144 alarm centers and corresponding routing numbers of any intervention region are identified when selecting the targeted intervention region. The 144 fixed, mobile and satellite alarm centers of the intervention region can be the same alarm center or different alarm centers. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-144_zentral image/png Time current current 2056_25 145 Fixed network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 145 originated from a fixed network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-145_festnetz image/png Time current current 2056_27 145 Mobile network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 145 originated from a mobile network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-145_mobilnetz image/png Time current current 2056_27 145 Alarm centers An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. The map shows the intervention regions of alarm centers in Switzerland for emergency calls 145 originated from a fixed and mobile networks. The 145 alarm centers and corresponding routing numbers of any intervention region are identified when selecting the targeted intervention region. The 145 fixed and mobile alarm centers of the intervention region can be the same alarm center or different alarm centers. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-145_zentral image/png Time current current 2056_27 147 Fixed network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 147 originated from a fixed network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-147_festnetz image/png Time current current 2056_27 147 Mobile network An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. Each intervention region has a routing number. The map shows the intervention regions of Switzerland for the emergency calls 147 originated from a mobile network. The alarm center and routing number of any intervention region are identified when selecting the targeted intervention region. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-147_mobilnetz image/png Time current current 2056_27 147 Alarm centers An emergency call is a call with a three digit short number of the emergency service selected by the caller: European emergency service 112; police, emergency call 117; fire, alarm center 118; victim support 142; friendly Hand 143; ambulance, emergency call 144; telephone help for children and young 147. An emergency call can be done from a fixed, mobile or satellite network. The emergency call must be routed to the alarm center of the competent service according to the location and nature of the case. A region from which the emergency calls are routed to a precise alarm center is an intervention region. The map shows the location of 147 alarm centers in Switzerland for emergency calls 147 originated from a fixed, mobile and satellite network. The 147 alarm centers and corresponding routing numbers of any intervention region are identified when selecting the targeted intervention region. The 147 fixed, mobile and satellite alarm centers of the intervention region can be the same alarm center or different alarm centers. 5.140242 45.398181 11.47757 48.230651 ch.bakom.notruf-147_zentral image/png Time current current 2056_25 Mobile phone base stations Visualisation of the locations of mobile phone stations.<br><a href="https://www.bakom.admin.ch/en/explanations-on-overview-map" target="_blank">More information</a> <br><a href="https://map.geo.admin.ch/?lang=en&topic=nga&bgLayer=ch.swisstopo.pixelkarte-grau&catalogNodes=15066,15041,15042&layers_opacity=0.75&layers_visibility=false" target="_blank">Availability of mobile networks</a> 5.140242 45.398181 11.47757 48.230651 ch.bakom.standorte-mobilfunkanlagen image/png Time current current 2056_26 Upload ≥ 1 Mbit/s The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of buildings in which an internet upload speed of 1 Mbit/s or more is offered over the fixed network (in percent of building connections according to data from the Swiss Federal Statistical Office). Representation of the coverage situation is purely indicative. The actual coverage situation should be determined by making enquiries with the service providers. In this respect see the additional information 'Number of connection providers'. 5.140242 45.398181 11.47757 48.230651 ch.bakom.uplink1 image/png Time current current 2056_26 Upload ≥ 10 Mbit/s The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of buildings in which an internet upload speed of 10 Mbit/s or more is offered over the fixed network (in percent of building connections according to data from the Swiss Federal Statistical Office). Representation of the coverage situation is purely indicative. The actual coverage situation should be determined by making enquiries with the service providers. In this respect see the additional information 'Number of connection providers'. 5.140242 45.398181 11.47757 48.230651 ch.bakom.uplink10 image/png Time current current 2056_26 Upload ≥ 100 Mbit/s The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of buildings in which an internet upload speed of 100 Mbit/s or more is offered over the fixed network (in percent of building connections according to data from the Swiss Federal Statistical Office). Representation of the coverage situation is purely indicative. The actual coverage situation should be determined by making enquiries with the service providers. In this respect see the additional information 'Number of connection providers'. 5.140242 45.398181 11.47757 48.230651 ch.bakom.uplink100 image/png Time current current 2056_26 Upload ≥ 1000 Mbit/s The broadband map gives an overview of the coverage of modern telecommunications networks in Switzerland. The coverage situation is shown in the form of statistical data per grid square (250 x 250 metres). The map shows the number of buildings in which an internet upload speed of 1000 Mbit/s or more is offered over the fixed network (in percent of building connections according to data from the Swiss Federal Statistical Office). Representation of the coverage situation is purely indicative. The actual coverage situation should be determined by making enquiries with the service providers. In this respect see the additional information 'Number of connection providers'. 5.140242 45.398181 11.47757 48.230651 ch.bakom.uplink1000 image/png Time current current 2056_26 TV coverage areas Coverage areas of all private local/regional television broadcasters with a performance mandate and fee-splitting in accordance with Article 38 and a performance mandate in accordance with Article 43 of the Radio and Television Act (RTVA). The corresponding technical provisions and planning foundations, plus the extent of the individual coverage areas, based on Article 38 of the Radio and Television Ordinance (RTVO), can be found in Annex 1 (Radio) and Annex 2 (Television) of the RTVO. 5.140242 45.398181 11.47757 48.230651 ch.bakom.versorgungsgebiet-tv image/png Time current current 2056_26 Radio coverage areas Coverage areas of all private local/regional radio broadcasters with a performance mandate and fee-splitting in accordance with Article 38 and a performance mandate in accordance with Article 43 of the Radio and Television Act (RTVA). The corresponding technical provisions and planning foundations, plus the extent of the individual coverage areas, based on Article 38 of the Radio and Television Ordinance (RTVO), can be found in Annex 1 (Radio) and Annex 2 (Television) of the RTVO. 5.140242 45.398181 11.47757 48.230651 ch.bakom.versorgungsgebiet-ukw image/png Time current current 2056_26 UNESCO World cultural heritage The Convention concerning the Protection of the World Cultural and Natural Heritage (World Heritage Convention, SR 0.451.41) was signed at the UNESCO General Conference in 1972. Its objective is to conserve cultural and natural heritage sites of extraordinary universal value as components of world heritage for all humanity. By signing it, a state agrees to protect and preserve specific objects within its borders. To date, Switzerland has suggested 9 cultural and 3 natural heritage sites that UNESCO has added to its world heritage list. 5.140242 45.398181 11.47757 48.230651 ch.bak.schutzgebiete-unesco_weltkulturerbe image/png Time current current 2056_26 Sports facilities CSFNI Catalog of sports facilities of national importance.The National Sports Facilities Concept (NASAK) is a concept according to Article 13 of the Federal Law on Spatial Planning and thus a planning and coordination tool. 5.140242 45.398181 11.47757 48.230651 ch.baspo.nationales-sportanlagenkonzept image/png Time current current 2056_27 Railway installations MAO Location and adjoining area of the railway sites according to the Ordinance on Protection against Major Accidents. The construction of new buildings or installations in the adjoining area (consultation area) can lead to a significant increase in risk. In land use plans relating partially or entirely to the adjoining area of land a coordination procedure between spatial planning and major accident authorities must be conducted. 5.140242 45.398181 11.47757 48.230651 ch.bav.betriebe-stoerfallverordnung_eisenbahnanlagen image/png Time current current 2056_26 Public transport stops The basic geo-data set for public transport stops comprises public transport stops in Switzerland and additional selected geo-referenced public transport locations that are of operational or structural importance (operating points). 5.140242 45.398181 11.47757 48.230651 ch.bav.haltestellen-oev image/png Time current current 2056_26 Railway noise, act. immissions N The authoritative railway noise pollution values are defined in the noise pollution register. Both emission and immission values are shown. The actual immissions Lr,e in [dB(A)] were measured based on the actual traffic during the night over the course of one year. 5.140242 45.398181 11.47757 48.230651 ch.bav.laermbelastung-eisenbahn_effektive_immissionen_nacht image/png Time current current 2056_26 Railway noise, act. immissions D The authoritative railway noise pollution values are defined in the noise pollution register. Both emission and immission values are shown. The actual immissions Lr,e in [dB(A)] were measured based on the actual traffic during the day over the course of one year. 5.140242 45.398181 11.47757 48.230651 ch.bav.laermbelastung-eisenbahn_effektive_immissionen_tag image/png Time current current 2056_26 Railway noise (fixed) N emissions The authoritative railway noise pollution values are defined in the noise pollution register. Both emission and immission values are shown. The fixed emissions (Lr,e) in [dB(A)] form the basis for determining the permissible immissions as part of noise abatement measures or expansion projects conducted overnight. 5.140242 45.398181 11.47757 48.230651 ch.bav.laermbelastung-eisenbahn_festgelegte_emissionen_nacht image/png Time current current 2056_26 Railway noise (fixed) D emissions The authoritative railway noise pollution values are defined in the noise pollution register. Both emission and immission values are shown. The fixed emissions Lr,e in [dB(A)] form the basis for determining the permissible immissions as part of noise abatement measures or expansion projects conducted during the day. 5.140242 45.398181 11.47757 48.230651 ch.bav.laermbelastung-eisenbahn_festgelegte_emissionen_tag image/png Time current current 2056_26 Railway noise (act.) N emissions The authoritative railway noise pollution values are defined in the noise pollution register. Both emission and immission values are shown. The actual emissions Lr,e in [dB(A)] were measured based on the actual traffic during the night over the course of one year. 5.140242 45.398181 11.47757 48.230651 ch.bav.laermbelastung-eisenbahn_tatsaechliche_emissionen_nacht image/png Time current current 2056_26 Railway noise (act.) D emissions The authoritative railway noise pollution values are defined in the noise pollution register. Both emission and immission values are shown. The actual emissions Lr,e in [dB(A)] were measured based on the actual traffic during the day over the course of one year. 5.140242 45.398181 11.47757 48.230651 ch.bav.laermbelastung-eisenbahn_tatsaechliche_emissionen_tag image/png Time current current 2056_26 Railway noise, perm. immissions N The authoritative railway noise pollution values are defined in the noise pollution register. Both emission and immission values are shown. The permitted noise levels Lr,e in [dB(A)] were fixed by the FOT in a decision. 5.140242 45.398181 11.47757 48.230651 ch.bav.laermbelastung-eisenbahn_zulaessige_immissionen_nacht image/png Time current current 2056_26 Railway noise, perm. immissions D The authoritative railway noise pollution values are defined in the noise pollution register. Both emission and immission values are shown. The permitted noise levels Lr,e in [dB(A)] were fixed by the FOT in a decision. 5.140242 45.398181 11.47757 48.230651 ch.bav.laermbelastung-eisenbahn_zulaessige_immissionen_tag image/png Time current current 2056_26 Railway lines MAO Location and adjoining area of the railway network according to the Ordinance on Protection against Major Accidents. The construction of new buildings or installations in the adjoining area (consultation area) can lead to a significant increase in risk. In land use plans relating partially or entirely to the adjoining area of land a coordination procedure between spatial planning and major accident authorities must be conducted. 5.140242 45.398181 11.47757 48.230651 ch.bav.lage-stoerfallverordnung_eisenbahnanlagen image/png Time current current 2056_27 Railway network The “railway network” basic data set depicts the network of railbound transport under federal supervision in Switzerland. It includes standard-gauge and narrow-gauge lines of railways, trams and rack railways that transport people regularly and for commercial purposes or that enable network access. It does not include sidings or sections of funicular railway (separate ropeway database), model railways, children's railways, railway tours or industrial railways. 5.140242 45.398181 11.47757 48.230651 ch.bav.schienennetz image/png Time current current 2056_26 Built-up areas VIL In Swiss civil aviation legislation, the term "built-up areas" refers to the definition of areas, in both quantitative terms and with respect to aviation criteria, that is applied in Articles 63 and 65a of the Federal Ordinance of 23 November 1994 on Civil Aviation Infrastructure (SR 748.131.1). A licensing requirement in built-up and non-built-up areas applies for objects with a height of 100 metres or more (or 60 metres or more for high-voltage power lines, wind turbines turbines, slacklines), as well as for the penetration of an obstacle-free zone or a security zone. A registration requirement applies for objects with a height of 60 metres or more in a built-up area, and a height of 25 metres or more in a non-built-up area (or in the case of mobile cranes, a height of 40 metres or more). Owners are required to notify the FOCA in advance of the construction or alteration of such buildings and installations or temporary objects. This vector dataset for Switzerland and the Principality of Liechtenstein is automatically generated from the building plans incorporated in "swissTLM3D" – the Swiss 3D topographic landscape model produced by the Federal Office of Topography (swisstopo) – and is periodically updated. 5.140242 45.398181 11.47757 48.230651 ch.bazl.bebaute-gebiete_luftfahrtrecht image/png Time current current 2056_26 Civil aerodromes businesses - MAO These data show the geographical situation and adjoining areas in accordance with Art. 11a para. 2 of the MAO (SR:814.012) within which the construction of new buildings and installations may lead to a significant increase in the risk of a major accident. Building projects located totally or partly in the adjoining area are subject to a consultation procedure with the enforcement authority for risk assessment (Art. 11a para. 3 MAO). 5.140242 45.398181 11.47757 48.230651 ch.bazl.betriebe-stoerfallverordnung-zivilflugplaetze image/png Time current current 2056_26 Restrictions for drones A UAS geographical zone is a portion of airspace designated by the competent authority in which the operation of unmanned aircraft systems (UASs) is permitted, restricted or forbidden in order to take account of the risks to safety, privacy and personal data protection, security or the environment that are associated with UAS operations. According to Articles 27 and 28 of the DETEC Ordinance on Special Category Aircraft (OSCA), the operation of unmanned aerial vehicles in the defined UAS areas is prohibited. Exceptions may be granted by the competent authorities (Art. 29 OSCA). Likewise, the cantons may, on the basis of Article 34 OSCA, issue regulations for unmanned aerial vehicles with a weight of less than 25kg to reduce the impact on to the environment and the risk to persons and property on the ground. 5.140242 45.398181 11.47757 48.230651 ch.bazl.einschraenkungen-drohnen image/png Time current current 2056_26 Aerodromes + Heliports Aerodromes are facilities defined in the Sectoral aviation infrastructure plan as intended for aircraft take-off and landing. The official list of aerodromes and heliports authorized by the FOCA has been published under point AD 1.3 of the Swiss Aeronautical Information Publication (AIP). The conditions for using the facilities are part of Swiss aviation publications and may be obtained from the AIP and VFR Manual. Please note: This is not an official aeronautical data publication. The information provided does not necessarily reflect the latest operational data. 5.140242 45.398181 11.47757 48.230651 ch.bazl.flugplaetze-heliports image/png Time current current 2056_26 Mountain landing sites Mountain landing sites are landing fields that are located outside an aerodrome at over 1100 m altitude and that have no infrastructure. They are used for instruction and training purposes, and to transport tourists. The authoritative list of mountain landing sites approved by the FOCA with specific additional information is published in the Swiss aeronautical publication in the VFR Manual under AGA 3-3-1. Use of mountain landing sites by fixed-wing aircraft: only if the site is suitable. Use of mountain landing sites by helicopters: outlanding may take place within a reasonable distance, i.e. within a radius of up to 400 m from the point determined by the coordinates within the limits of the topographical description (Swiss Federal Council decision of 7 May 1980). Please note: This is not an official aeronautical data publication. The information provided does not necessarily reflect the latest operational data. 5.140242 45.398181 11.47757 48.230651 ch.bazl.gebirgslandeplaetze image/png Time current current 2056_26 SORA Ground Risk 100 European unmanned aircraft regulation (EU) 2019/947 Article 11 requires a SORA (Specific Operational Risk Assessment) to be performed for flights which fit into the Specific category of UAS. One part of this risk assessment is to assess the risk to overflown uninvolved people and this map is tailored for the use in this risk assessment methodology. The map shows the estimated average population density, derived from data on the population (STATPOP) and employment (STATENT) provided by the Federal Statistical Office (FSO). In addition, where no swiss data was available, information from the Global Human Settlement Layer (GHSL) of the Euroean Commission was used. The data should be used as a guideline, meaning that discrepancies can be argued accordingly by the applicant in the SORA risk assessment. The extent of the map is anywhere the Federal Office of Civil Aviation has authority to grant UAS authorizations which is within Switzerland and Liechtenstein. Further, the data extends 5 km beyond the Swiss border into the surrounding countries to allow a proper fly-away risk assesment of flights very close to the borders. This map version, with a spatial resolution of 100m × 100m, is suitable for drone flights below 50 m (164 ft) above ground level. Consult FOCA's guidance material for further information. 5.140242 45.398181 11.47757 48.230651 ch.bazl.intrinsisches-bodenrisiko_sora_100 image/png Time current current 2056_25 SORA Ground Risk 200 European unmanned aircraft regulation (EU) 2019/947 Article 11 requires a SORA (Specific Operational Risk Assessment) to be performed for flights which fit into the Specific category of UAS. One part of this risk assessment is to assess the risk to overflown uninvolved people and this map is tailored for the use in this risk assessment methodology. In addition, the map is an estimate of the average distribution of population density derived from Inhabitants (STATPOP) and Employment (STATENT) from the Federal Statistical Office (FSO). Where no swiss data was available, information from the Global Human Settlement Layer (GHSL) of the Euroean Commission was used. The data should be used as a guideline, meaning that discrepancies can be argued accordingly by the applicant in the SORA risk assessment. The extent of the map is anywhere the Federal Office of Civil Aviation has authority to grant UAS authorizations which is within Switzerland and Liechtenstein. Further, the data extends 5 km beyond the Swiss border into the surrounding countries to allow a proper fly-away risk assesment of flights very close to the borders. This map version, with a spatial resolution of 200m × 200m, is suitable for drone flights at altitudes above 50 m (164 ft). Consult FOCA's guidance material for further information. 5.140242 45.398181 11.47757 48.230651 ch.bazl.intrinsisches-bodenrisiko_sora_200 image/png Time current current 2056_25 Sanctuaries for silence a. nature Sanctuaries for silence and nature are areas of defined dimensions where antrophogenic (man-made) noise sources have been suppressed to a minimum level. The aim of such sanctuaries is a preservation of the diversity of natural sounds and silence for human recreation. Sanctuaries for silence and nature are depicted as "Zones to be avoided" on aeronautical charts and shall be avoided or overflown by motorised aircraft considerably above the minimum flight altitudes according to the Ordinance on the Rules of the Air/ORA, (art. 44) and by the shortest possible flight path. 5.140242 45.398181 11.47757 48.230651 ch.bazl.landschaftsruhezonen image/png Time current current 2056_26 Aeronautical Chart ICAO The official Aeronautical Chart ICAO 1:500'000 of Switzerland is published in cooperation with skyguide. The chart includes airports and airfields, classified air space, restricted and hazardous areas as well as air navigation obstacles. The printed chart is available folded. There are air traffic control information and an index of airport radio frequencies included in this product. The map is normally annually revised. The pixel chart is delivered as a georeferenced TIF-file (raster format). The chart content is available either as a colour combination or seperated in 3 thematic colour layers (basic map, airspace/air traffic control information, air navigation obstacles/transmission lines), in a resolution of 254 dpi. 5.140242 45.398181 11.47757 48.230651 ch.bazl.luftfahrtkarten-icao image/png Time current current 2056_19 Airspaces - FIR Based on Article 40, Federal Civil Aviation Act (SR 748.0) and Article 2, paragraph 1, Ordinance on Air Navigation Services (SR 748.132.1), the FOCA is reponsible for defining the airspace structure and classes. Other information, e.g. airspace class, conditions for use, plus further details relating to the depicted airspaces, may be obtained from the applicable official publication (AIP).The Swiss airspace consists of the Control areas (CTA) Zurich / Geneva and a flight information region (FIR), with separation line Central Plateau-Jura / Alps. 5.140242 45.398181 11.47757 48.230651 ch.bazl.luftraeume-fluginformationsgebiet image/png Time current current 2056_26 Airspaces - FIZ Based on Article 40, Federal Civil Aviation Act (SR 748.0) and Article 2, paragraph 1, Ordinance on Air Navigation Services (SR 748.132.1), the FOCA is reponsible for defining the airspace structure and classes.Flight information zones in accordance with the publication date of the most recent ICAO Chart. Other information, e.g. airspace class, conditions for use, plus further details relating to the depicted airspaces, may be obtained from the applicable official publication (AIP and ICAO Chart). Airspace delimitation is indicated in feet / flight level (FL). 5.140242 45.398181 11.47757 48.230651 ch.bazl.luftraeume-fluginformationszonen image/png Time current current 2056_26 Airspaces - CTA Based on Article 40, Federal Civil Aviation Act (SR 748.0) and Article 2, paragraph 1, Ordinance on Air Navigation Services (SR 748.132.1), the FOCA is reponsible for defining the airspace structure and classes. Other information, e.g. airspace class, conditions for use, plus further details relating to the depicted airspaces, may be obtained from the applicable official publication (AIP).The Swiss airspace consists of the Control areas (CTA) Zurich / Geneva and a flight information region (FIR), with separation line Central Plateau-Jura / Alps. 5.140242 45.398181 11.47757 48.230651 ch.bazl.luftraeume-kontrollbezirke image/png Time current current 2056_26 Airspaces - CTR Based on Article 40, Federal Civil Aviation Act (SR 748.0) and Article 2, paragraph 1, Ordinance on Air Navigation Services (SR 748.132.1), the FOCA is reponsible for defining the airspace structure and classes.Control zones in accordance with the publication date of the most recent ICAO Chart. Other information, e.g. airspace class, conditions for use, plus further details relating to the depicted airspaces, may be obtained from the applicable official publication (AIP and ICAO Chart). Airspace delimitation is indicated in feet / flight level (FL). 5.140242 45.398181 11.47757 48.230651 ch.bazl.luftraeume-kontrollzonen image/png Time current current 2056_26 Airspaces - TMA Based on Article 40, Federal Civil Aviation Act (SR 748.0) and Article 2, paragraph 1, Ordinance on Air Navigation Services (SR 748.132.1), the FOCA is reponsible for defining the airspace structure and classes.Terminal control areas in accordance with the publication date of the most recent ICAO Chart. Other information, e.g. airspace class, conditions for use, plus further details relating to the depicted airspaces, may be obtained from the applicable official publication (AIP and ICAO Chart). Airspace delimitation is indicated in feet / flight level (FL). 5.140242 45.398181 11.47757 48.230651 ch.bazl.luftraeume-nahkontrollbezirke image/png Time current current 2056_26 Reflective surfaces aerodromes Depending on the angle of the sun's rays, glare caused by reflective surfaces (e.g. solar panels or reflective facades) can become a disturbing source of light for pilots. In the case of planned installations within the relevant areas according to ICAO Annex 14, Vol. I, chapter 5.3.1.3, whose installation area [m2] is greater than 100 m2 and also greater than the distance [m] of the project to the nearest point of an aerodrome runway (e.g. an installation larger than 300 m2 at a distance of 300 m from the nearest point of a runway), possible disruptive glare effects should be investigated and mitigated if necessary to ensure aviation safety. Guidelines for the investigation of planned installations within the relevant areas can be requested from the responsible FOCA section «Aerodromes and air navigation obstacles»: aerodromes@bazl.admin.ch 5.140242 45.398181 11.47757 48.230651 ch.bazl.reflektierende-flaechen_flugplaetze image/png Time current current 2056_25 Protected areas Liechtenstein AuLaV Protected areas as defined in the Nature Conservation Act (Naturschutzgesetz; NSchG), and other protected areas in which off-airport landings, emergency landing exercises and hovering for training purposes are prohibited. This dataset contains a compilation of the following legally protected areas in accordance with Art. 1, 4 and 8 of the Ordinance of 18 October 2016 on Aircraft Taking Off and Landing outside Aerodromes (Off-Aerodrome Landing Ordinance; OALO): a) protected landscapes (Art. 18 NSchG); b) nature reserves (Art. 19 NSchG); c) flora conservation areas (Art. 21 NSchG); d) low-nutrition meadows (Art. 22 NSchG); e) rest areas (Art. 23 NSchG). The dataset also lists highly sensitive areas as specified by the government (in accordance with Art. 4 para. 2 OALO). These include areas which contain protected objects, protected habitats or protected assets in accordance with the Nature Conservation Act (NSchG), as well as major wildlife corridors. 5.140242 45.398181 11.47757 48.230651 ch.bazl.schutzgebiete-aulav_liechtenstein image/png Time current current 2056_27 Glider Chart The Glider Map 1:350'000 is published in cooperation with skyguide. The map includes airports and airfields, classified air space, restricted and hazardous areas as well as air navigation obstacles and additional information for gliding. The printed map is available folded. There are air traffic control information and specific information for gliders included in this product. The thematic map content is normally annually updated. The pixel map is delivered as a georeferenced TIF-file (raster format). The map content is available either as a colour combination or seperated in 3 thematic colour layers (basic map, airspace/air traffic control information, air navigation obstacles), in a resolution of 254 dpi. 5.140242 45.398181 11.47757 48.230651 ch.bazl.segelflugkarte image/png Time current current 2056_19 Hospital landing sites Landing sites at hospitals and other landing sites that are strictly reserved for assistance services, namely rescue and recovery. 5.140242 45.398181 11.47757 48.230651 ch.bazl.spitallandeplaetze image/png Time current current 2056_27 UAS Awareness Zones The UAS Awareness Map indicates areas of authorised unmanned aircraft (UAS) operations.The purpose of the publication of such areas is to enhance situational awareness for manned aviation and provide relevant contact information. Consulting this information from the UAS Awareness Map doesn't change the safety of your flight and is not a requirement. <br></br> The UAS Awareness Map depicts selected UAS operations only, in particular permanent or regularly recurring operations and activities in locally identified hotspot areas, which do not qualify for official aeronautical information publication. <br></br> Important note: <ul> <li>UAS operator/remote pilot remain fully responsible for airspace monitoring and for ensuring separation from manned aircraft. [UAS.SPEC.060 (3) ANNEX TO IMPLEMENTING REGULATION (EU) 2019/947 / SERA.3201] </li> <li>The displayed areas are for situational awareness only.</li> <li>The operational volumes shown correspond to operations approved under the Specific Category, with procedures established and validated according to the assessed local risk level and in compliance with the regulation (EU)2019/947.</li> </ul> For questions or coordination requests, please contact the respective operator. Contact details are available in the zones information panel. 5.140242 45.398181 11.47757 48.230651 ch.bazl.uas-aktivitaetszonen image/png Time current current 2056_25 Residential areas according AuLaV Residential areas are defined in Article 2f of the Off-Airport Landing Ordinance (AuLaV; SR 748.132.3). Residential areas are defined as urban areas or groups of at least ten inhabited buildings, including the area within a radius of 100 metres. Landing in residential areas is prohibited for the following purposes:<ul> <li>Passenger transport for tourist or leisure purposes (Art. 25b AuLaV),</li> <li>Non-commercial flights (Art. 32b AuLaV),</li> <li>Training flights (Art. 34b AuLaV).</li> </ul> Off-Airport landings in residential areas for aerial work purposes must be agreed upon in advance with the competent authority under cantonal law (Art. 31 AuLaV). <br></br> The ARE's "housing estate" dataset forms the basis for identifying and presenting "residential areas" and is updated annually. 5.140242 45.398181 11.47757 48.230651 ch.bazl.wohngebiete-aulav image/png Time current current 2056_26 Non-woody biomass for energy Biomass is a renewable resource for energy which can be transformed into several forms of energy: heat, electricity, biogas or liquid fuels. Non-woody types of biomass were investigated using methodically comparable approaches: manure, agricultural crop by-products, the organic part of household garbage, green waste, the organic residues from industrial waste and sewage sludge. Within the implementation of the energy strategy 2050 the Swiss government foresees a massive increase in the share of renewable energy. The Swiss Competence Center for Energy Research (SCCER) Biosweet (Biomass for Swiss Energy Future) seeks solutions to the technical, social and political challenges posed by the Energy Transition with regard to biomass. The Swiss Federal Institute for Forest, Snow and Landscape Research WSL quantified and localised the potential of important biomass resources in Switzerland, particularly with regard to their sustainable availability. The results are useful as a basis for identifying promising biomass-use pathways and the best sites for their implementation. Data (https://www.envidat.ch/dataset/swiss-biomass-potentials) and a detailed report are available online (https://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A13277/datastream/PDF/Thees-2017-Biomassepotenziale_der_Schweiz_f%C3%BCr_die-%28published_version%29.pdf). This map shows the sustainable potential of non-woody biomass for bioenergy (maximum amount of nationally produced non-woody biomass that could be used, after deducting any ecological, economic, legal and political constraints) in Switzerland at the municipality level in primary energy (maximum amount of energy available in a resource without conversion) in terajoules. 5.140242 45.398181 11.47757 48.230651 ch.bfe.biomasse-nicht-verholzt image/png Time current current 2056_25 Woody biomass for energy Biomass is a renewable resource for energy which can be transformed into several forms of energy: heat, electricity, biogas or liquid fuels. Woody types of biomass were investigated using methodically comparable approaches: forest wood, wood from landscape maintenance, waste wood and industrial wood residues. Within the implementation of the energy strategy 2050 the Swiss government foresees a massive increase in the share of renewable energy. The Swiss Competence Center for Energy Research (SCCER) Biosweet (Biomass for Swiss Energy Future) seeks solutions to the technical, social and political challenges posed by the Energy Transition with regard to biomass. The Swiss Federal Institute for Forest, Snow and Landscape Research WSL quantified and localised the potential of important biomass resources in Switzerland, particularly with regard to their sustainable availability. The results are useful as a basis for identifying promising biomass-use pathways and the best sites for their implementation. Data (https://www.envidat.ch/dataset/swiss-biomass-potentials) and a detailed report are available online (https://www.dora.lib4ri.ch/wsl/islandora/object/wsl%3A13277/datastream/PDF/Thees-2017-Biomassepotenziale_der_Schweiz_f%C3%BCr_die-%28published_version%29.pdf). This map shows the sustainable potential of woody biomass for bioenergy (maximum amount of nationally produced woody biomass that could be used, after deducting any ecological, economic, legal and political constraints) in Switzerland at the municipality level in primary energy (maximum amount of energy available in a resource without conversion) in terajoules. 5.140242 45.398181 11.47757 48.230651 ch.bfe.biomasse-verholzt image/png Time current current 2056_25 Pilot and demonstration projects With its Pilot and Demonstration programme the Swiss Federal Office of Energy (SFOE) promotes the development and testing of new technologies, solutions and concepts relating to the economical and ecological use of energy, the transmission and storage of energy and the use of renewable forms of energy. The Pilot and Demonstration programme acts as an interface between research and the market. Its main aim is to help increase the status of development of new technologies so that they can ultimately be brought onto the market.This dataset contains current pilot and demonstration projects supported by the Swiss Federal Office of Energy. 5.140242 45.398181 11.47757 48.230651 ch.bfe.energieforschung image/png Time current current 2056_27 Heating advice for small buildings A ‘renewable heating' advice service is available to building owners who have oil, gas or electric heating and who wish to find out which renewable low-carbon heat source is most appropriate to heat their building. An advisor visits the client (property owner) to discuss the building's energy requirements, location-specific factors and the owner's wishes. The advisor takes these factors into account and gives the owner a checklist setting out recommendations for optimising the current heating system. On the basis of the checklist, the client can get appropriate quotes for a new system and set about switching to renewables. This database contains all the trained advisors in the ‘renewable heating' programme who meet the quality criteria. 5.140242 45.398181 11.47757 48.230651 ch.bfe.erneuerbarheizen image/png Time current current 2056_25 Potential heat recovery from WWTPs Wastewater treatment plants (WWTPs) treat and purify wastewater. Wastewater is water that has been polluted through activities such as cooking, doing laundry or showering and then transported through a sewer system. The average temperature of wastewater is between 10 and 20 °C. A heat pump can recover this heat in order for it to be used as a heat source in a district heating network. The map shows the heat potential of WWTPs in Switzerland. The heat potential is estimated with the number of connected residents. These figures are to be understood as a guideline and should therefore not be used as a definitive basis for planning. 5.140242 45.398181 11.47757 48.230651 ch.bfe.fernwaerme-angebot image/png Time current current 2056_25 Heat/cooling demand: industry In strategic planning, heat demand is used to identify large connected areas that may be appropriate for a thermal network. Areas with a heat density of at least 700 MWh/a per hectare are considered suitable. As well as heat density, heat must be supplied at a specific temperature. Some industries require process heat at a very high temperature (sometimes 1,000°C or more), and this cannot be generated by a thermal network. Heat demand from industry has therefore been recorded in a separate data set. The data are based on the Federal Statistical Office's 2013 Statistics on Company Structures (not available in English) and the Federal Office of Energy's figures in the annual report ‘Energy consumption in the industry and services sector'. On the hectare grid, heat demand is represented as heat density shown on a colour scale. The information is provided for the general public and is not official or legally binding. 5.140242 45.398181 11.47757 48.230651 ch.bfe.fernwaerme-nachfrage_industrie image/png Time current current 2056_27 Heat/cooling demand: resid./comm. The demand for heat and cooling is a key element in the strategic planning of thermal networks. Building a thermal network is only viable if sufficient sales turnover can be generated from heat and/or cooling. In strategic planning, heat demand is used to identify large connected areas that may be appropriate for a thermal network. Areas with a heat density of at least 700 MWh/a per hectare are considered suitable. As well as heat density, heat must be supplied at a specific temperature. Some industries require process heat at a very high temperature (sometimes 1,000°C or more), and this cannot be generated by a thermal network. Heat demand from industry has therefore been recorded in a separate data set. Of most interest for thermal networks is the heat demand from residential and commercial buildings, since the vast majority of such buildings can be served at low temperatures ranging from around 12°C to maximum 90°C. The data are based on the Federal Statistical Office's 2014 Buildings and Dwellings Statistics and 2013 Statistics on Company Structures (not available in English), and the Federal Office of Energy's figures in the annual report ‘Energy consumption in the industry and services sector'. On the hectare grid, heat demand is represented as heat density shown on a colour scale. The information is provided for the general public and is not official or legally binding. 5.140242 45.398181 11.47757 48.230651 ch.bfe.fernwaerme-nachfrage_wohn_dienstleistungsgebaeude image/png Time current current 2056_27 Groundwater heat utilisation potential The thermal energy stored in groundwater can be used for heating purposes. With groundwater heat pump systems, the heat can be extracted from the groundwater and transferred to the heating system. The potential of groundwater for heating is large and can be estimated. The groundwater heat utilisation potential in Switzerland's unconsolidated aquifers was estimated using a heat balance approach. This involves determining the usable heat from a simplified heat balance, taking long-term changes into account. The groundwater is considered an open system, i.e. heat is exchanged with the atmosphere, hydrosphere and geosphere. The calculated heat utilisation potential is regarded as heat that can be used sustainably in the medium term. It should be noted that only the potential for heat recovery from groundwater was taken into account; any utilisation for cooling purposes or seasonal heat storage was not considered. Existing utilisation plants were also not taken into account. The basis for the calculation was provided by the cantons and the federal government. The geodata set "Groundwater heat utilisation potential in Switzerland's unconsolidated aquifers" shows the maximum sustainable heat that can be extracted from groundwater in the medium term. 5.140242 45.398181 11.47757 48.230651 ch.bfe.grundwasserwaermenutzungspotential image/png Time current current 2056_23 Waste incineration plants Waste incineration is the burning of combustible waste components to reduce the volume of the waste while using the energy it contains.In 2017, Switzerland had 30 municipal waste incineration plants each with a capacity of between 30,000 and 230,000 tonnes per year. About four million tonnes of combustible waste from Switzerland and abroad is incinerated to generate thermal energy in municipal incinerators. The heat generated during combustion is used to produce electricity, operate district heating networks or as process heat in industrial plants. In 2017, the 30 municipal incinerators produced a record amount of energy totalling 4,036 gigawatt hours (GWh) of heat and 2,338 GWh of electricity. They thus contribute around 2.5 percent of Switzerland's total energy requirements and just under 4 percent of the country's overall electricity production. The geodata document the current volume of recycled waste and the amount of energy generated and supplied. All information is based on the data provided by the plant operators. The information is for the general public and does not constitute official information or legally binding statements. 5.140242 45.398181 11.47757 48.230651 ch.bfe.kehrichtverbrennungsanlagen image/png Time current current 2056_25 Nuclear Power Plants Nuclear power plants are facilities for the commercial generation of electrical power from controlled nuclear fission. The four Swiss nuclear power plants have a total output of 3.2 GW. Their annual availability is around 90%. The Swiss Federal Office of Energy (SFOE) plays an essential role in enforcing the legislation on nuclear power. The Swiss Federal Nuclear Safety Inspectorate (ENSI), an independent body constituted under public law, is responsible for supervising the safety and security of Swiss nuclear power plants. Operating licences for nuclear power plants in Switzerland are awarded for an unlimited period. The plants can be operated for as long as their safety is guaranteed. If the requirements for the safe operation of a nuclear power plant can no longer be met, the operating licence can be withdrawn at any time. If the decommissioning criteria specified in the Federal Department of the Environment, Transport, Energy and Communications (DETEC) Ordinance on the Methodology and Standards for the Verification of the Criteria for the Provisional Decommissioning of Nuclear Power Plants are fulfilled, the licence holder must decommission the plant immediately. 5.140242 45.398181 11.47757 48.230651 ch.bfe.kernkraftwerke image/png Time current current 2056_26 Water power potential The geodata product ‘Potential of small hydropower plants in Switzerland' is the result of a GIS-based analysis carried out in 2012 as part of the research project 102835 ‘Survey of Switzerland's small hy-dropower plant potential'. This calculated the theoretical hydroelectric potential of all natural water-courses in Switzerland. As only part of the theoretical potential can actually be used for electricity generation when technical, ecological, economic and legal aspects are taken into account, it is im-portant to interpret the statements on theoretical potential correctly. Both the geodata model documentation and the research project final report should be consulted. 5.140242 45.398181 11.47757 48.230651 ch.bfe.kleinwasserkraftpotentiale image/png Time current current 2056_26 Charging requirements: Plug-in vehicles The map shows the proportion of plug-in vehicles in relation to all registered passenger cars (in per cent) for each selected municipality. The number of existing vehicles (passenger cars) per drive system (battery-electric or plug-in hybrid) per municipality in 2035 is also shown. The term plug-in vehicle refers to battery electric vehicles (BEV) and plug-in hybrids (PHEV) together.The development of new registrations and the number of plug-in vehicles in Switzerland per municipality are based on the common industry assumptions of the SFOE study "Understanding charging infrastructure 2050". 5.140242 45.398181 11.47757 48.230651 ch.bfe.ladebedarfswelt-fahrzeuge image/png Time current current 2056_23 Charging requirements: Home charging availability - Convenient The map shows the percentage of plug-in vehicles (battery electric vehicles and plug-in hybrids) per selected municipality that will have no charging facilities at home or at work in 2035. The percentage of plug-in vehicles that cannot charge at home is also given (expressed as a decimal figure). The availability of private home charging points and charging facilities at the workplace depends on various assumptions regarding the implementation strategy, some of which are local. In order to show the range of possible developments, the three charging worlds "Convenient", "Planned" and "Flexible" were designed based on common industry assumptions in the SFOE study "Understanding charging infrastructure 2050" to show the direction in which the charging infrastructure in Switzerland could develop. In the "Convenient" charging world, people mainly charge at home and additionally at fast-charging points. 5.140242 45.398181 11.47757 48.230651 ch.bfe.ladebedarfswelt-heimladeverfuegbarkeit_bequem image/png Time current current 2056_23 Charging requirements: Home charging availability - Flexible The map shows the percentage of plug-in vehicles (battery electric vehicles and plug-in hybrids) per selected municipality that will have no charging facilities at home or at work in 2035. The percentage of plug-in vehicles that cannot charge at home is also given (expressed as a decimal figure). The availability of private home charging points and charging facilities at the workplace depends on various assumptions regarding the implementation strategy, some of which are local. In order to show the range of possible developments, the three charging worlds "Convenient", "Planned" and "Flexible" were designed based on common industry assumptions in the SFOE study "Understanding charging infrastructure 2050" to show the direction in which the charging infrastructure in Switzerland could develop. In the "Flexible" charging world, many people cannot charge at home; they charge at various locations where their vehicle is parked - at work or when shopping. 5.140242 45.398181 11.47757 48.230651 ch.bfe.ladebedarfswelt-heimladeverfuegbarkeit_flexibel image/png Time current current 2056_23 Charging requirements: Home charging availability - Planned The map shows the percentage of plug-in vehicles (battery electric vehicles and plug-in hybrids) per selected municipality that will have no charging facilities at home or at work in 2035. The percentage of plug-in vehicles that cannot charge at home is also given (expressed as a decimal figure). The availability of private home charging points and charging facilities at the workplace depends on various assumptions regarding the implementation strategy, some of which are local. In order to show the range of possible developments, the three charging worlds "Convenient", "Planned" and "Flexible" were designed based on common industry assumptions in the SFOE study "Understanding charging infrastructure 2050" to show the direction in which the charging infrastructure in Switzerland could develop. In the "Planned" charging world, many people cannot charge at home; they mainly charge at rapid charging points. 5.140242 45.398181 11.47757 48.230651 ch.bfe.ladebedarfswelt-heimladeverfuegbarkeit_geplant image/png Time current current 2056_23 Charging requirements: Charging points - Convenient The map shows how many generally accessible charging points should be available in the selected municipality in 2035 in order to meet the charging demand. A charging point is a facility for charging plug-in vehicles (battery electric vehicles and plug-in hybrids) at which a single vehicle can be charged at the same time. The number of charging points is broken down into various charging options, which differ according to the five charging needs of owners of plug-in vehicles (charging at home, charging at work, charging in the neighbourhood, charging at the destination, fast charging) as well as the type of charging (alternating current AC, direct current DC) and charging power (in kilowatts [kW]). The charging points for charging in the neighbourhood, charging at the destination and fast charging are referred to collectively as generally accessible charging points. The colour of the areas refers to the number of generally accessible charging points required per municipality. In order to show the range of possible developments, the three charging worlds "Convenient", "Planned" and "Flexible" were designed based on common industry assumptions in the SFOE study "Understanding charging infrastructure 2050" to show the direction in which the charging infrastructure in Switzerland could develop. In the "Convenient" charging world, people mainly charge at home and additionally at fast-charging points. 5.140242 45.398181 11.47757 48.230651 ch.bfe.ladebedarfswelt-ladepunkte_bequem image/png Time current current 2056_23 Charging requirements: Charging points - Flexible The map shows how many generally accessible charging points should be available in the selected municipality in 2035 in order to meet the charging demand. A charging point is a facility for charging plug-in vehicles (battery electric vehicles and plug-in hybrids) at which a single vehicle can be charged at the same time. The number of charging points is broken down into various charging options, which differ according to the five charging needs of owners of plug-in vehicles (charging at home, charging at work, charging in the neighbourhood, charging at the destination, fast charging) as well as the type of charging (alternating current AC, direct current DC) and charging power (in kilowatts [kW]). The charging points for charging in the neighbourhood, charging at the destination and fast charging are referred to collectively as generally accessible charging points. The colour of the areas refers to the number of generally accessible charging points required per municipality. In order to show the range of possible developments, the three charging worlds "Convenient", "Planned" and "Flexible" were designed based on common industry assumptions in the SFOE study "Understanding charging infrastructure 2050" to show the direction in which the charging infrastructure in Switzerland could develop. In the "Flexible" charging world, many people cannot charge at home; they charge at various locations where their vehicle is parked - at work or when shopping. 5.140242 45.398181 11.47757 48.230651 ch.bfe.ladebedarfswelt-ladepunkte_flexibel image/png Time current current 2056_23 Charging requirements: Charging points - Planned The map shows how many generally accessible charging points should be available in the selected municipality in 2035 in order to meet the charging demand. A charging point is a facility for charging plug-in vehicles (battery electric vehicles and plug-in hybrids) at which a single vehicle can be charged at the same time. The number of charging points is broken down into various charging options, which differ according to the five charging needs of owners of plug-in vehicles (charging at home, charging at work, charging in the neighbourhood, charging at the destination, fast charging) as well as the type of charging (alternating current AC, direct current DC) and charging power (in kilowatts [kW]). The charging points for charging in the neighbourhood, charging at the destination and fast charging are referred to collectively as generally accessible charging points. The colour of the areas refers to the number of generally accessible charging points required per municipality. In order to show the range of possible developments, the three charging worlds "Convenient", "Planned" and "Flexible" were designed based on common industry assumptions in the SFOE study "Understanding charging infrastructure 2050" to show the direction in which the charging infrastructure in Switzerland could develop. In the "Planned" charging world, many people cannot charge at home; they mainly charge at rapid charging points. 5.140242 45.398181 11.47757 48.230651 ch.bfe.ladebedarfswelt-ladepunkte_geplant image/png Time current current 2056_23 Charging requirements: Power requirements The map shows for each selected municipality what percentage of electrical energy will be charged at home in 2035 according to the "Bequem" charging world. In addition, the total electricity demand for charging in 2035 is shown for each municipality in GWh and broken down into the various charging requirements as a percentage (shown as a decimal figure). A distinction is made between five charging needs of owners of plug-in vehicles (battery electric vehicles and plug-in hybrids): charging at home, charging at work, charging in the neighbourhood, charging at destination, fast charging.The development of electricity consumption of plug-in vehicles in Switzerland per municipality is based on the common industry assumptions of the SFOE study "Understanding charging infrastructure 2050". In this study, the three charging worlds "Convenient", "Planned" and "Flexible" are designed to show the direction in which the charging infrastructure in Switzerland could develop. In the "Convenient" charging world, people mainly charge at home and additionally at fast-charging points. In the "Planned" charging world, many people cannot charge at home; they mainly charge at fast charging points. In the "Flexible" charging world, many people cannot charge at home; they charge at various places where their vehicle is parked - at work or when shopping. 5.140242 45.398181 11.47757 48.230651 ch.bfe.ladebedarfswelt-strombedarf image/png Time current current 2056_23 Icing Frequency In Switzerland, the mountain regions (Jura, Alps and Alpine foothills) are the most suitable regions for exploiting wind energy potential. But here, the air temperature during the winter months is frequently below 0° C for lengthy periods, and this can cause measuring instruments and rotor blades to ice up. Icing influences the planning and operation of a wind power plant in a variety of ways: ice formation on the rotor blades interferes with their aerodynamics and results in production losses. The additional weight and imbalance associated with ice formation also burden the structural elements of a wind turbine. For safety reasons (ice fall-off), and in view of the additional burden placed on their components, wind turbines have to be turned off when they ice up. Ice formation on a wind turbine’s measuring instruments can also give rise to faulty operation. Calculations of icing frequency are based on comprehensive data relating to cloud water, temperature and wind obtained from analyses of the MeteoSwiss COSMO-2 weather forecasting model. The icing model calculates the ice load on a cylindrical, freely rotating structure. The icing frequency is depicted on a 2.2-kilometre raster and has been verified on the basis of measurements carried out at IMIS stations in the Alps and readings recorded in the Jura range. The map depicts the frequency of meteorological icing at a height of 100 metres above the ground for the period from August 2007 to July 2009. The 10-year average is around 5 percent lower. The frequency data are based on calculations made with the aid of models, and they indicate where icing can occur in Switzerland. However, the data cannot be regarded as absolutely precise for a given location, because deviations can occur in confined spaces such as those frequently encountered in the central Alps. The frequency of icing is higher in exposed areas and lower in protected areas than the levels shown on the map. The map depicts meteorological icing, while the periods of measured icing tend to be longer on average. To assess the icing conditions at a specific location, measurement on site is thus essential. 5.140242 45.398181 11.47757 48.230651 ch.bfe.meteorologische-vereisung image/png Time current current 2056_26 Pipeline consultation areas The Ordinance on Protection against Major Accidents (MAO, SR 814.012) is designed to protect the public and the environment from serious damage resulting from major accidents. It regulates the safety measures that must be implemented by the owners of transport routes, businesses and pipeline systems and the authorities' control and assessment procedures. The enforcement authority (Swiss Federal Office of Energy SFOE) publishes details of the geographical location of pipeline systems governed by the MAO and of the adjoining area (consultation area) (Art. 20 para. 1 MAO) defined by the enforcement authority; this area must be taken into account in decisions on land use. Data is kept on all pipeline systems defined in the Pipelines Ordinance of 2 February 2000 which meet the criteria specified in Annex 1.3 (PipeO, SR 746.11). Data is also kept on the areas adjoining the pipeline installations (consultation areas). The consultation area measures 300 metres on either side of the pipeline if the pressure in the pipeline is 67.5 bar or above and if the diameter of the pipeline is 24 inches or more. Otherwise, the consultation area measures 100 metres on either side of the pipeline. The data is not offered for download. 5.140242 45.398181 11.47757 48.230651 ch.bfe.rohrleitungen-konsultationsbereiche image/png Time current current 2056_27 Solar energy: suitability of roofs Solar energy that reaches the earth's surface can be utilised with the aid of the two established solar technologies, photovoltaics (electricity) and solar thermal energy, for the production of renewable energy. The potential of solar electricity is considerable: by 2050, around 20 percent of the current level of electricity demand could be met through the use of photovoltaics. Solar thermal energy is an attractive option for the production of hot water and heat thanks to the existence of standardised systems. From the suitability map the degree of suitability of a particular roof for the use of solar energy can be deduced, as well as the anticipated yield. The calculations are based on a simulation of the path of the sun throughout the year, and the amount of sunlight that falls on each roof surface.From 2023 onwards, updated data bases will be used to calculate the solar potential. With each annual update, a part of Switzerland is updated with the new data basis. The model documentation contains an overview of the areas that have already been updated. In addition, the module efficiency of photovoltaic systems was increased from 17% to 20% for the whole of Switzerland from 1.1.2023. 5.140242 45.398181 11.47757 48.230651 ch.bfe.solarenergie-eignung-daecher image/png Time current current 2056_27 Solar energy: suitability of façades The sun's energy that reaches the Earth's surface can be used, via two proven forms of solar technology – photovoltaics (electric current) and solar thermal energy (heat) – to generate renewable energy. Solar power has considerable potential: by 2050, around 20 per cent of the present demand for electricity could be generated using photovoltaics. Solar heat is an interesting option thanks to various types of standardised installation for warm water and heating support. The suitability map shows how well-suited individual façades are to using solar energy and what yield would be possible. To determine this, the course of the sun over the year is simulated and the solar radiation that reaches each façade calculated. The specified surface equals the entire surface of the façade and does not involve a reduction due to windows or similar. Radiation data from the Federal Office of Meteorology and Climatology MeteoSchweiz and 3D building data from the Federal Office of Topography swisstopo (product swissBUILDINGS3D 2.0) was used in these calculations.<br><br> From 2023 onwards, updated data bases will be used to calculate the solar potential. With each annual update, a part of Switzerland is updated with the new data basis. The model documentation contains an overview of the areas that have already been updated. In addition, the module efficiency of photovoltaic systems was increased from 17% to 20% for the whole of Switzerland from 1.1.2023. 5.140242 45.398181 11.47757 48.230651 ch.bfe.solarenergie-eignung-fassaden image/png Time current current 2056_27 Horizontal solar irradiation The irradiation maps show the solar radiation on a south-facing surface for four different inclinations: Horizontal, 30°, 75° and 90°. The data is based on Switzerland-wide modelling with a horizontal grid width of 50m. It is based on measurement data from the period 2000-2020 and the influence of the horizon was derived from a 10 m resolution elevation model of Switzerland and neighbouring countries. In addition to the global radiation, the expected photovoltaic production per kW of installed capacity is also shown for the respective irradiation levels. The data can serve as an initial estimate of potential PV production. However, depending on local conditions and system design, the value may be higher or lower. For example, any additional yields resulting from the use of bifacial modules were not taken into account. Under "Additional information", the monthly values of global radiation (per m2) and expected photovoltaic production (per kW of installed capacity) can be queried for each grid point. Further information on the modelling can be found in the report under the link "Data reference". 5.140242 45.398181 11.47757 48.230651 ch.bfe.solarenergie-einstrahlung_0_grad image/png Time current current 2056_26 Solar irradiation 30°inclination south The irradiation maps show the solar radiation on a south-facing surface for four different inclinations: Horizontal, 30°, 75° and 90°. The data is based on Switzerland-wide modelling with a horizontal grid width of 50m. It is based on measurement data from the period 2000-2020 and the influence of the horizon was derived from a 10 m resolution elevation model of Switzerland and neighbouring countries. In addition to the global radiation, the expected photovoltaic production per kW of installed capacity is also shown for the respective irradiation levels. The data can serve as an initial estimate of potential PV production. However, depending on local conditions and system design, the value may be higher or lower. For example, any additional yields resulting from the use of bifacial modules were not taken into account. Under "Additional information", the monthly values of global radiation (per m2) and expected photovoltaic production (per kW of installed capacity) can be queried for each grid point. Further information on the modelling can be found in the report under the link "Data reference". 5.140242 45.398181 11.47757 48.230651 ch.bfe.solarenergie-einstrahlung_30_grad image/png Time current current 2056_26 Solar irradiation 75°inclination south The irradiation maps show the solar radiation on a south-facing surface for four different inclinations: Horizontal, 30°, 75° and 90°. The data is based on Switzerland-wide modelling with a horizontal grid width of 50m. It is based on measurement data from the period 2000-2020 and the influence of the horizon was derived from a 10 m resolution elevation model of Switzerland and neighbouring countries. In addition to the global radiation, the expected photovoltaic production per kW of installed capacity is also shown for the respective irradiation levels. The data can serve as an initial estimate of potential PV production. However, depending on local conditions and system design, the value may be higher or lower. For example, any additional yields resulting from the use of bifacial modules were not taken into account. Under "Additional information", the monthly values of global radiation (per m2) and expected photovoltaic production (per kW of installed capacity) can be queried for each grid point. Further information on the modelling can be found in the report under the link "Data reference". 5.140242 45.398181 11.47757 48.230651 ch.bfe.solarenergie-einstrahlung_75_grad image/png Time current current 2056_26 Solar irradiation 90°inclination south The irradiation maps show the solar radiation on a south-facing surface for four different inclinations: Horizontal, 30°, 75° and 90°. The data is based on Switzerland-wide modelling with a horizontal grid width of 50m. It is based on measurement data from the period 2000-2020 and the influence of the horizon was derived from a 10 m resolution elevation model of Switzerland and neighbouring countries. In addition to the global radiation, the expected photovoltaic production per kW of installed capacity is also shown for the respective irradiation levels. The data can serve as an initial estimate of potential PV production. However, depending on local conditions and system design, the value may be higher or lower. For example, any additional yields resulting from the use of bifacial modules were not taken into account. Under "Additional information", the monthly values of global radiation (per m2) and expected photovoltaic production (per kW of installed capacity) can be queried for each grid point. Further information on the modelling can be found in the report under the link "Data reference". 5.140242 45.398181 11.47757 48.230651 ch.bfe.solarenergie-einstrahlung_90_grad image/png Time current current 2056_26 Hydropower statistics The "Statistics on hydropower plants" (WASTA) contain data concerning the Swiss hydropower plants with an output of at least 300 kW. This includes technical data relating to aspects such as power output and expected production levels. 5.140242 45.398181 11.47757 48.230651 ch.bfe.statistik-wasserkraftanlagen image/png Time current current 2056_25 Dam The dataset contains fundamental information about dams in Switzerland which come under the direct supervision of the Swiss Confederation. This includes data concerning the construction and purpose of the dams and their most important geometrical and spatial parameters and designations. 5.140242 45.398181 11.47757 48.230651 ch.bfe.stauanlagen-bundesaufsicht image/png Time current current 2056_25 Wind energy plants Wind energy plants utilise the kinetic energy of airflow to rotate turbine blades. The mechanical energy that is produced in this way is then converted by a generator into electricity.The first wind energy facility in Switzerland was put into operation in 1986 near Soolhof Farm (Langenbruck, canton of Baselland) and had an output of 28 kilowatts. In 2013, a total of 34 wind power plants produced around 85 gigawatt hours (GWh) of electricity. The largest wind park is on Mont Crosin in the Bernese Jura near St Imier: this facility comprises 16 wind turbines with a total output of 23.6 megawatts. Other large facilities are in operation in Rhonetal (canton of Valais), near Entlebuch (canton of Lucerne) and on the Gütsch (above Andermatt, canton of Uri). There is still a great deal of potential for wind energy in Switzerland. The goal is to increase the annual production of electricity from wind energy plants to around 600 GWh by 2020 and 4,000 GWh by 2050. Suitable locations for wind parks exist in the Jura range, as well as in the Alps and the western region of the central plateau. The “Wind energy plants” geodata document the current situation regarding wind energy facilities in Switzerland. All data are based on information provided by the power plant operators and are intended to function as information material for the general public. They do not take the form of official information and are not legally binding. 5.140242 45.398181 11.47757 48.230651 ch.bfe.windenergieanlagen image/png Time current current 2056_26 Labour market areas and large labour market areas Labor market regions and large labor market regions are areas in which the majority of the working population lives and works. The two areas differ in size: labor market regions are relatively small, while large labor market regions are significantly larger. These and many other spatial divisions such as language regions, mountain regions or major regions are offered in two levels of generalization. The vector data is suitable for creating thematic maps and for analyzing regional developments and trends over time. 5.140242 45.398181 11.47757 48.230651 ch.bfs.arbeitsmarktregionen image/png Time current current 2056_25 Land use statistics standard Land use data in 72 basic categories, aggregated into 27 or 17 classes and 4 main categories, obtained by visual interpretation of sample points from a regular 100-metre grid on three-dimensional, digital aerial photographs. Land use and land cover are surveyed separately since 1979, making two items of information available for each sample point, which could be evaluated individually (as "pure" use and coverage) and in almost any combination. The standard nomenclature (NOAS04) according to 17 classes is shown here visually. 5.140242 45.398181 11.47757 48.230651 ch.bfs.arealstatistik image/png Time 2023 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 1980 1979 2056_26 Land use statistics cover Land cover data in 27 basic categories, obtained by visual interpretation of sample points from a regular 100-metre grid on three-dimensional, digital aerial photographs. The basic categories are visualized here in the form of an aggregation into 10 main categories. 5.140242 45.398181 11.47757 48.230651 ch.bfs.arealstatistik-bodenbedeckung image/png Time 2023 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 1980 1979 2056_26 Enterprises Since 1995, coordinates have been allocated to all establishments recorded in federal business censuses. After each census, detailed information of businesses locations and full-time and part-time employment in all economic sectors according to NOGA (General Classification of Economic Activities) are aggregated in hectares and published as geodata.Since 2011 the business census is replaced by the structural business statistics (STATENT), an annual full survey of business and economic information taken from the registers of the OASI administration (Swiss social insurance system). STATENT provides important information about the structure of the Swiss economy (e.g. number of enterprises, number of workforce), delivering a general overview over the economic landscape of Switzerland. 5.140242 45.398181 11.47757 48.230651 ch.bfs.betriebszaehlungen-arbeitsstaetten image/png Time 2023 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2008 2005 2000 1995 2056_26 Employment (FTE) Since 1995, coordinates have been allocated to all establishments recorded in federal business censuses. After each census, detailed information of businesses locations and full-time and part-time employment in all economic sectors according to NOGA (General Classification of Economic Activities) are aggregated in hectares and published as geodata.Since 2011 the business census is replaced by the structural business statistics (STATENT), an annual full survey of business and economic information taken from the registers of the OASI administration (Swiss social insurance system). STATENT provides important information about the structure of the Swiss economy (e.g. number of enterprises, number of workforce), delivering a general overview over the economic landscape of Switzerland. The employment in full-time equivalents (FTE) is the result of the conversion of the entire labour volume performed by all economically full-time and part-time active persons, normally measured in working hours, to full time employees. 5.140242 45.398181 11.47757 48.230651 ch.bfs.betriebszaehlungen-beschaeftigte_vollzeitaequivalente image/png Time 2023 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2008 2005 2000 1995 2056_26 Accessibility of pharmacies Measuring the distance to services for each inhabited hectare in Switzerland provides a wide range of statistical information on access to goods, services and recreation areas.Sufficient access to basic goods and services needed in everyday life, as well as access to places of retreat such as lakeshores or forests, are of great importance for the quality of life. The calculation of accessibility to these services is a method to measure this phenomenon. Accessibility is operationalised by the distance travelled on the road network between the place of residence and the location of the nearest service provider or the nearest recreation area. The places of residence are not considered individually, but are aggregated by inhabited hectares. 5.140242 45.398181 11.47757 48.230651 ch.bfs.erreichbarkeit-apotheken image/png Time 2021 2021 2018 2015 2011 2056_26 Accessibility of restaurants Measuring the distance to services for each inhabited hectare in Switzerland provides a wide range of statistical information on access to goods, services and recreation areas.Sufficient access to basic goods and services needed in everyday life, as well as access to places of retreat such as lakeshores or forests, are of great importance for the quality of life. The calculation of accessibility to these services is a method to measure this phenomenon. Accessibility is operationalised by the distance travelled on the road network between the place of residence and the location of the nearest service provider or the nearest recreation area. The places of residence are not considered individually, but are aggregated by inhabited hectares. 5.140242 45.398181 11.47757 48.230651 ch.bfs.erreichbarkeit-restaurants image/png Time 2021 2021 2018 2015 2011 2056_26 RBD: building status The Federal Register of Buildings and Dwellings (RegBL) was created on the basis of information from the 2000 population census for statistical purposes.The RDB has established itself as the standard national information system for buildings, not least thanks to the total revision of his ordinance, which came into force on July 1, 2017. The RDB contains information on construction projects, buildings, dwellings, entrances, and streets. Level A data are public and can be used without restriction. The data layer "RDB: building status" graphically illustrates the status of buildings and their entrance number(s). 5.140242 45.398181 11.47757 48.230651 ch.bfs.gebaeude_wohnungs_register image/png Time current current 2056_28 RBD: energy/heat source heating The Federal Register of Buildings and Dwellings (RBD) was created on the basis of information from the 2000 population census for statistical purposes.The RBD has established itself as the standard national information system for buildings, not least thanks to the total revision of his ordinance, which came into force on July 1, 2017. The RBD contains information on construction projects, buildings, dwellings, entrances, and streets. Level A data are public and can be used without restriction. The data layer "RBD: energy/heat source of the heating system" shows graphically (color) the energy/heat source of the most powerful heating system and the relative update date (shape). 5.140242 45.398181 11.47757 48.230651 ch.bfs.gebaeude_wohnungs_register_waermequelle_heizung image/png Time current current 2056_28 Administrative borders G1, agglomerations Administrative borders which have a low level of detail are often needed for thematic maps and representations on a small scale. The digital boundaries of Switzerland and the Principality of Liechtenstein, which are updated annually by the Federal Office of Topography, are often too detailed for this purpose. Therefore, GEOSTAT provides digital boundaries for communes, districts, cantons, regions, lakes of more than 5 km2 surface as well as national boundaries at different levels of generalisation. In addition to the administrative boundaries, boundaries on the area with urban character (agglomerations including associated communes of neighbouring countries and core municipalities outside agglomerations) are included as well.The generalisation level G1 is most appropriate for cartographic visualisations at a scale between 1:250'000 and 1:500'000. 5.140242 45.398181 11.47757 48.230651 ch.bfs.generalisierte-grenzen_agglomerationen_g1 image/png Time current current 2056_26 Documentation of landscape change The Swiss land use statistics not only generate statistical data, but they also document landscape changes. During the work on the land use statistics 2004/09 and 2013/18 aerial image were documented, georeferenced and recorded according to a separate nomenclature. These illustrate the landscape change in Switzerland over 33 years with four and over 24 years with three aerial views. The Federal Statistical Office is now making over 1500 image comparisons available to the general public on the Administration's Geoportal.With the 1979/85, 1992/97, 2004/09 and 2013/18 surveys, Switzerland's land use statistics provide results on the condition of and changes in settlement areas, forests, woodland, farmland, meadows, pastures, waters, glaciers and many other uses. They convey the changing picture of the mosaic of land cover and land use conditions throughout Switzerland, including its regional and local geographical differentiation. 5.140242 45.398181 11.47757 48.230651 ch.bfs.landschaftswandel image/png Time current current 2056_26 Basic statistical units level 1 The first level of basic statistical spatial units (USPAT1) allows a detailed analysis of the territory. These units are stable over time, meaning that they are not affected by municipalities' mergers. In rural areas, they make it possible to distinguish between urbanized areas which generally have more than 250 inhabitants or more than 250 jobs and 20 establishments or more than 125 dwellings belonging to the same municipality. Urban areas with more than 15 000 inhabitants are further subdivided into urban sectors which generally have between 7 500 and 15 000 inhabitants. 5.140242 45.398181 11.47757 48.230651 ch.bfs.statistische-grundeinheiten_stufe1 image/png Time current current 2056_23 Basic statistical units level 2 Second level basic statistical spatial units (USPAT2) of around 10 000 inhabitants are formed by grouping together USPAT1s or municipalities. These units make it possible to analyse the Swiss territory as a whole on the basis of entities of similar population size. Their size has been defined in such a way as to be able to potentially produce results of surveys with sufficient sample size. 5.140242 45.398181 11.47757 48.230651 ch.bfs.statistische-grundeinheiten_stufe2 image/png Time current current 2056_23 Population (residents) Since 1990, the residential buildings recorded in federal national censuses have been given coordinates. Since 2010, the census is annually updated based on the exploitation of the registers of inhabitants of cantons and communes which is complemented by sample surveys. The Population and Households Statistics (STATPOP) provides key figures on the size, structure (age, sex, civil status, nationality, etc.), development and spatial distribution of the population as well as information on the number and size of households. 5.140242 45.398181 11.47757 48.230651 ch.bfs.volkszaehlung-bevoelkerungsstatistik_einwohner image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2000 1990 2056_26 Buildings Since 1990, the residential buildings recorded in federal national censuses have been given coordinates. Since 2010, the Buildings and Dwellings statistic (BDS) replaces the buildings and dwellings survey that used to take place every 10 years as part of the population census (PC). The BDS is annually updated, mainly based on the Federal Register of Buildings and Dwellings (RBD). It provides information on the structure of the whole buildings and dwellings stock and on the population's living conditions (e.g. occupation density per room or dwelling, floor space per person). 5.140242 45.398181 11.47757 48.230651 ch.bfs.volkszaehlung-gebaeudestatistik_gebaeude image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2000 1990 2056_26 Dwellings Since 1990, the residential buildings recorded in federal national censuses have been given coordinates. Since 2010, the Buildings and Dwellings statistic (BDS) replaces the buildings and dwellings survey that used to take place every 10 years as part of the population census (PC). The BDS is annually updated, mainly based on the Federal Register of Buildings and Dwellings (RBD). It provides information on the structure of the whole buildings and dwellings stock and on the population's living conditions (e.g. occupation density per room or dwelling, floor space per person). 5.140242 45.398181 11.47757 48.230651 ch.bfs.volkszaehlung-gebaeudestatistik_wohnungen image/png Time 2024 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2000 1990 2056_26 Alpine products Um die Bezeichnung „Alpprodukt“ (z.B. Alpkäse) verwenden zu können, müssen die Rohstoffe aus dem Sömmerungsgebiet stammen und auch dort verarbeitet werden. Die Verarbeitung folgender Produkte darf auch ausserhalb des Sömmerungsgebiets stattfinden: genussfertige Milch; genussfertiger Rahm; Reifung der Käse sowie die Schlachtung und Zerlegung der Tiere. Die Bezeichnung „Alp“ darf auch in der Kennzeichnung eines aus mehreren Zutaten zusammengesetzten Lebensmittels verwendet werden, auch wenn das Lebensmittel selbst die Anforderungen für die Verwendung der Bezeichnung „Alp“ nicht erfüllt. Die Bezeichnung „Alp“ darf sich ausschliesslich auf die betreffenden Zutaten beziehen (z.B. „Jogurt aus Alpmilch“) (SR 910.19). 5.140242 45.398181 11.47757 48.230651 ch.blw.alpprodukte image/png Time current current 2056_26 Mountain products Um die Bezeichnung „Bergprodukt“ (z.B. Bergkäse) verwenden zu können, müssen die Rohstoffe aus dem Berggebiet oder dem Sömmerungsgebiet stammen und in einer Gemeinde verarbeitet werden, die ganz oder teilweise im Berg- oder im Sömmerungsgebiet liegt.Die Verarbeitung folgender Produkte darf auch ausserhalb des Berg- und Sömmerungsgebiets stattfinden: genussfertige Milch; genussfertiger Rahm; Reifung der Käse sowie die Schlachtung und Zerlegung der Tiere. Die Bezeichnung „Berg“ darf auch in der Kennzeichnung eines aus mehreren Zutaten zusammengesetzten Lebensmit-tels verwendet werden, auch wenn das Lebensmittel selbst die Anforderungen für die Verwendung der Bezeichnung „Berg“ nicht erfüllt. Die Bezeichnung „Berg“ darf sich ausschliesslich auf die betreffenden Zutaten beziehen (z.B. „Jogurt aus Bergmilch“). (SR 910.19) 5.140242 45.398181 11.47757 48.230651 ch.blw.bergprodukte image/png Time current current 2056_26 Demand for irrigation Long-term 33% quantile of relative evapotranspiration (ratio of current to potential evapotranspiration ET/ETp) for agriculturally productive areas of Switzerland. Calculation for the growing seasons of the period 1980-2006 in a 500m x 500m grid. 5.140242 45.398181 11.47757 48.230651 ch.blw.bewaesserungsbeduerftigkeit image/png Time current current 2056_26 Root penetration depth Depth of soil that can be penetrated by roots (general thick and fine roots; roots that penetrate into clefts or crevices are not included). (Details: Soil suitability map of Switzerland, March 1980.) 5.140242 45.398181 11.47757 48.230651 ch.blw.bodeneignung-gruendigkeit image/png Time current current 2056_26 Aptitude: Cropland On the soil suitability map, each mapping unit has a code consisting of an uppercase letter and a number. The letters stand for 25 different physiographical units. The numbers represent different elements of the landscape, categorised by bedrock, slope and gradient. Each mapping unit also corresponds to one or more soil types. There are 144 mapping units in total. They are grouped together into 18 different coloured categories on the map from the perspective of soil suitability. Agricultural criteria have primarily been used for this classification. 5.140242 45.398181 11.47757 48.230651 ch.blw.bodeneignung-kulturland image/png Time current current 2056_26 Aptitude: Crop types On the soil suitability map, each mapping unit has a code consisting of an uppercase letter and a number. The letters stand for 25 different physiographical units. The numbers represent different elements of the landscape, categorised by bedrock, slope and gradient. Each mapping unit also corresponds to one or more soil types. There are 144 mapping units in total. They are grouped together into 18 different coloured categories on the map from the perspective of soil suitability. Agricultural criteria have primarily been used for this classification. 5.140242 45.398181 11.47757 48.230651 ch.blw.bodeneignung-kulturtyp image/png Time current current 2056_26 Nutrient storage capacity In a similar way to water storage capacity, the aim is to specify how many equivalents of cations can be stored in the soil. The stored milliequivalents of cations were converted on the basis of a column of soil with a surface area of 1cm2 and a height corresponding to the physiological root penetration depth. This gave the milliequivalents (mEq) of cations per cm2. (Details: Soil suitability map of Switzerland, March 1980). 5.140242 45.398181 11.47757 48.230651 ch.blw.bodeneignung-naehrstoffspeichervermoegen image/png Time current current 2056_26 Stone content The stone content refers to the individual mineral components of the soil which are larger than 2 mm (sieve residue). In most cases the top 50 cm of the soil was evaluated. (Details: Soil suitability map of Switzerland, March 1980). 5.140242 45.398181 11.47757 48.230651 ch.blw.bodeneignung-skelettgehalt image/png Time current current 2056_26 Waterlogging If external water (runoff from slopes and groundwater) is present in the soil as well as precipitation, this is described as external waterlogging. (Details: Soil suitability map of Switzerland, March 1980). 5.140242 45.398181 11.47757 48.230651 ch.blw.bodeneignung-vernaessung image/png Time current current 2056_26 Permeability Permeability is measured using saturated soil core samples in the laboratory. Observations in the field highlighted a relationship between precipitation, permeability and morphological features. The least permeable soil horizon of the top 50 cm was evaluated. (Details: Soil suitability map of Switzerland, March 1980). 5.140242 45.398181 11.47757 48.230651 ch.blw.bodeneignung-wasserdurchlaessigkeit image/png Time current current 2056_26 Water storage capacity The term refers to water which is retained in the soil by tension forces and can easily be taken up by plants (soil moisture tension 0.1 - 1 Atm). Estimates show that there is likely to be 1 mm of easily available water (soil moisture tension 0.1 - 1 Atm) for each 1 cm of physiological root penetration depth. The physiological root penetration depth is determined by the entire layer that can be penetrated by roots, with deductions for stones and large cavities in sand and gravel soils, together with deductions for compact structures and soil horizons with a low oxygen content. (Details: Soil suitability map of Switzerland, March 1980). 5.140242 45.398181 11.47757 48.230651 ch.blw.bodeneignung-wasserspeichervermoegen image/png Time current current 2056_26 Erosion risk crop qualitative Erosion risk map for arable land – qualitative classification (Federal Office for Agriculture)Erosion risk map for arable land in Switzerland in a 2x2-metre grid based on SwissALTI3D and cantonal surface-area data on arable land (status 2021). The map shows the potential qualitative erosion risk. The overall rating is allocated to one of three risk levels (no risk; risk; high risk) without taking account of soil use or management method. The long-term mean soil erosion is calculated on the basis of the universal soil loss equation (USLE). 5.140242 45.398181 11.47757 48.230651 ch.blw.erosion image/png Time current current 2056_26 Flow-path map The flow-path map shows the new calculated flow paths for surface runoff (L-factor of the universal soil loss equation or of the erosion risk map) on the agriculturally productive areas within the field blocks. The flow paths are based on theSwissALTI3D terrain model and multiple-flow algorithms. They illustrate the areas where the topography would cause the water to collect and run off. The darker the colour, the greater the possible runoff levels, and hence also the erosion risk. This map does a good job of illustrating the erosion risk for linear erosion in slope depressions (thalweg erosion) and possible damage outside of the field block (off-site damage), e.g. on roads and in bodies of water. 5.140242 45.398181 11.47757 48.230651 ch.blw.erosion-fliesswegkarte image/png Time current current 2056_26 Erosion risk crop quantitative Erosion risk map for arable land, with average soil erosion in tonnes /(ha*year) (Federal Office for Agriculture)Erosion risk map for arable land in Switzerland in a 2x2-metre grid based on SwissALTI3D and cantonal surface-area data on arable land (status 2021). The map shows the long-term average potential soil erosion in tonnes per hectare and year, calculated on the basis of bare fallow (erosion which theoretically could occur if the soil were permanently bare). Shades of green, yellow and red mean a slight, average and high risk of erosion, respectively. The values calculated in the model are consistently much higher than in actual fact (by around a factor of 10), since soil tillage and management (C-factor) were excluded and incorporated in the calculation as a constant with the value of 1. Calculating the erosion risk with multiple-flow algorithms allows us to illustrate the structure of the terrain in great detail – e.g. the shape of basins or of steep transverse slopes – and hence e.g. also to identify the risk of thalweg erosion. This is shown in detail in the flow-path map (which see). Field blocks (see field-block map) constitute the basis of the spatial calculation. 5.140242 45.398181 11.47757 48.230651 ch.blw.erosion-quantitativ image/png Time current current 2056_26 Field block map Field blocks are coherent, agriculturally productive areas surrounded by relatively stable external boundaries that can be identified in the field (e.g. forest, roads, built-up areas, bodies of water, ditches). The topographic landscape model TLM3D forms the basis for their calculation. A field block therefore constitutes a closed hydrological catchment area in which all of the pixels can be hydrologically connected, and can thus have an influence on one another in terms of erosion. Other field blocks or areas outside of a field block cannot influence water flows or erosion within a field block in the model. The inflow of water from outside is therefore not possible in the model. The minimum size of a field block is set at 2500 square metres. The best way for the responsible authorities to monitor erosion on arable land is to inspect field blocks in the priority regions. The erosion risk must be recalculated if the size of the field block changes, e.g. if new tracks are built or hedges are planted or removed. 5.140242 45.398181 11.47757 48.230651 ch.blw.feldblockkarte image/png Time current current 2056_26 Water connection The potential water connection map shows areas in a worst case scenario (permanent fallow land, no buffer strips or construction measures) where, if the land is not cultivated in a suitable way, there is a significant risk of sediment input into bodies of water. Therefore, it helps with the targeted planning of measures to protect the bodies of water. The model for identifying the connection between bodies of water and agricultural areas that are at potential risk of erosion is based on the erosion risk map 2. The water connection model allows the probability of a connection to a body of water to be calculated for every cell in the grid on the erosion risk map 2. In order to move from potential to actual water connections, information is needed about the use of the areas that are at risk and about possible measures to reduce runoff. This information must be obtained in the field. 5.140242 45.398181 11.47757 48.230651 ch.blw.gewaesseranschlusskarte image/png Time current current 2056_26 Water connection extended A map has also been created as a supplement to the water connection map which distinguishes between direct and indirect connections. Areas with a direct connection to a body of water are located next to it or connected to it by means of temporary ditches or drains. Surface runoff can also reach the body of water indirectly via manholes and gullies in the road drainage system. This information enables more targeted measures to be planned to counteract sediment input into bodies of water. There are six categories of probability of a connection between agricultural land and bodies of water. 5.140242 45.398181 11.47757 48.230651 ch.blw.gewaesseranschlusskarte-direkt image/png Time current current 2056_26 - - 5.140242 45.398181 11.47757 48.230651 ch.blw.hanglagen-abschwemmung image/png Time current current 2056_25 Hillside and steep slopes situation In order to take the difficult production and living conditions in agriculture adequately into consideration, slope subsidies have been established for areas eligible for direct payments. A slopes dataset has been created for general direct payments (GeoIV 152.1; DSO Art. 43) and a dataset for vineyards on slopes for viticulture payments (GeoIV 152.2; DSO Art. 45). There are different categories of slope gradient. The slopes dataset is part of the data used to calculate the agricultural direct payments on the basis of a geographic information system (GIS). Standardised calculations have been produced for the whole of Switzerland. The production is based on the "SwissAlti3D" terrain model from swisstopo. A distinction is made between the following slope gradient categories: <18; 18-35; 35-50; >50 percent. Sloping areas less than 100 square metres in size were not taken into consideration. 5.140242 45.398181 11.47757 48.230651 ch.blw.hang_steillagen image/png Time current current 2056_26 Climate - forage crop The four sheets of the map, which has a scale of 1:200,000, show an overall evaluation of the climatic conditions and restrictions for agriculture, broken down into 20 categories. The map aims to highlight the significant differences in the cultivation options available in the individual regions. 5.140242 45.398181 11.47757 48.230651 ch.blw.klimaeignung-futterbau image/png Time current current 2056_26 Climate - cereal crop The four sheets of the map, which has a scale of 1:200,000, show an overall evaluation of the climatic conditions and restrictions for agriculture, broken down into 20 categories. The map aims to highlight the significant differences in the cultivation options available in the individual regions. 5.140242 45.398181 11.47757 48.230651 ch.blw.klimaeignung-getreidebau image/png Time current current 2056_26 Climate - potatoes The four sheets of the map, which has a scale of 1:200,000, show an overall evaluation of the climatic conditions and restrictions for agriculture, broken down into 20 categories. The map aims to highlight the significant differences in the cultivation options available in the individual regions. 5.140242 45.398181 11.47757 48.230651 ch.blw.klimaeignung-kartoffeln image/png Time current current 2056_26 Climate - corn grain The four sheets of the map, which has a scale of 1:200,000, show an overall evaluation of the climatic conditions and restrictions for agriculture, broken down into 20 categories. The map aims to highlight the significant differences in the cultivation options available in the individual regions. 5.140242 45.398181 11.47757 48.230651 ch.blw.klimaeignung-koernermais image/png Time current current 2056_26 Climate - cultivated land The four sheets of the map, which has a scale of 1:200,000, show an overall evaluation of the climatic conditions and restrictions for agriculture, broken down into 20 categories. The map aims to highlight the significant differences in the cultivation options available in the individual regions. 5.140242 45.398181 11.47757 48.230651 ch.blw.klimaeignung-kulturland image/png Time current current 2056_26 Climate - special crops The four sheets of the map, which has a scale of 1:200,000, show an overall evaluation of the climatic conditions and restrictions for agriculture, broken down into 20 categories. The map aims to highlight the significant differences in the cultivation options available in the individual regions. 5.140242 45.398181 11.47757 48.230651 ch.blw.klimaeignung-spezialkulturen image/png Time current current 2056_26 Climate - overview The four sheets of the map, which has a scale of 1:200,000, show an overall evaluation of the climatic conditions and restrictions for agriculture, broken down into 20 categories. The map aims to highlight the significant differences in the cultivation options available in the individual regions. 5.140242 45.398181 11.47757 48.230651 ch.blw.klimaeignung-typ image/png Time current current 2056_26 Climate - catch crop The four sheets of the map, which has a scale of 1:200,000, show an overall evaluation of the climatic conditions and restrictions for agriculture, broken down into 20 categories. The map aims to highlight the significant differences in the cultivation options available in the individual regions. 5.140242 45.398181 11.47757 48.230651 ch.blw.klimaeignung-zwischenfruchtbau image/png Time current current 2056_26 - Der Geodatensatz «landwirtschaftliche Nutzungsflächen» stellt die räumliche Lage der Kulturflächen wie Wiesen, Weiden und Ackerflächen der Schweiz dar und wird jährlich aktualisiert. Er beinhaltet die landwirtschaftlich genutzten Flächen gemäss landwirtschaftlicher Begriffsverordnung (LBV), Direktzahlungsverordnung (DZV) und der daraus abgeleiteten Definitionen (inkl. Codierung) der Nutzungen durch den Bund und die Kantone.Der Datensatz basiert auf den in Zuständigkeit der Kantone erstellten Geobasisdatensätze des Bundesrechts «Landwirtschaftliche Kulturflächen» (GeoIV, Anhang 1, Identifikator 153). Die Originaldaten befinden sich auf geodienste.ch. Die Verfügbarkeit der Daten beruht auf den kantonalen Nutzungsbedingungen. 5.140242 45.398181 11.47757 48.230651 ch.blw.landwirtschaftliche-nutzungsflaechen image/png Time current current 2056_26 - - 5.140242 45.398181 11.47757 48.230651 ch.blw.milchmarktregionen image/png Time current current 2056_25 Rainfall The four sheets of the map, which has a scale of 1:200,000, show an overall evaluation of the climatic conditions and restrictions for agriculture, broken down into 20 categories. The map aims to highlight the significant differences in the cultivation options available in the individual regions. 5.140242 45.398181 11.47757 48.230651 ch.blw.niederschlagshaushalt image/png Time current current 2056_26 Viticulture in steep areas In order to take the difficult production and living conditions in agriculture into adequate consideration, slope subsidies have been established for areas eligible for direct payments. A slopes dataset has been created for general direct payments (GeoIV 152.1; DSO Art. 43) and a dataset for vineyards on slopes for viticulture payments (GeoIV 152.2; DSO Art. 45). There are different categories of slope gradient. The vineyards on slopes dataset is part of the data used to calculate the agricultural direct payments on the basis of a geographic information system (GIS). Standardised calculations have been produced for the whole of Switzerland. The production is based on the "SwissAlti3D" terrain model from swisstopo. A distinction is made between the following slope gradient categories: <30; 30-50; >50 percent. Sloping areas less than 100 square metres in size were not taken into consideration. 5.140242 45.398181 11.47757 48.230651 ch.blw.steil_terrassenlagen_rebbau image/png Time current current 2056_26 meat products The register of designations of origin (PDO) and geographical indications (PGI) allows the region names and traditional designations of agricultural products to be protected (with the exception of wine), where the quality and the main characteristics of the products are determined by their geographical origin. If a name is protected, it can only be used by producers in the specified geographical region, who must comply with a detailed requirements specification. The purpose of protecting certain designations of agricultural products is to prevent consumers from being exposed to fraud and, in the interests of farmers, to stop unfair competition relating to the use of the designations. The rules in this area allow for the mutual recognition of quality products by Switzerland and the European Union. There are four categories: cheese, meat products, products of plant origin and spirits. The register of designations of origin currently contains around 30 different products and new ones are frequently being added. 5.140242 45.398181 11.47757 48.230651 ch.blw.ursprungsbezeichnungen-fleisch image/png Time current current 2056_26 Cheese The register of designations of origin (PDO) and geographical indications (PGI) allows the region names and traditional designations of agricultural products to be protected (with the exception of wine), where the quality and the main characteristics of the products are determined by their geographical origin. If a name is protected, it can only be used by producers in the specified geographical region, who must comply with a detailed requirements specification. The purpose of protecting certain designations of agricultural products is to prevent consumers from being exposed to fraud and, in the interests of farmers, to stop unfair competition relating to the use of the designations. The rules in this area allow for the mutual recognition of quality products by Switzerland and the European Union. There are four categories: cheese, meat products, products of plant origin and spirits. The register of designations of origin currently contains around 30 different products and new ones are frequently being added. 5.140242 45.398181 11.47757 48.230651 ch.blw.ursprungsbezeichnungen-kaese image/png Time current current 2056_26 Confectionery The register of designations of origin (PDO) and geographical indications (PGI) allows the region names and traditional designations of agricultural products to be protected (with the exception of wine), where the quality and the main characteristics of the products are determined by their geographical origin. If a name is protected, it can only be used by producers in the specified geographical region, who must comply with a detailed requirements specification. The purpose of protecting certain designations of agricultural products is to prevent consumers from being exposed to fraud and, in the interests of farmers, to stop unfair competition relating to the use of the designations. The rules in this area allow for the mutual recognition of quality products by Switzerland and the European Union. There are four categories: cheese, meat products, products of plant origin and spirits. The register of designations of origin currently contains around 30 different products and new ones are frequently being added. 5.140242 45.398181 11.47757 48.230651 ch.blw.ursprungsbezeichnungen-konditoreiwaren image/png Time current current 2056_26 Plant products The register of designations of origin (PDO) and geographical indications (PGI) allows the region names and traditional designations of agricultural products to be protected (with the exception of wine), where the quality and the main characteristics of the products are determined by their geographical origin. If a name is protected, it can only be used by producers in the specified geographical region, who must comply with a detailed requirements specification. The purpose of protecting certain designations of agricultural products is to prevent consumers from being exposed to fraud and, in the interests of farmers, to stop unfair competition relating to the use of the designations. The rules in this area allow for the mutual recognition of quality products by Switzerland and the European Union. There are four categories: cheese, meat products, products of plant origin and spirits. The register of designations of origin currently contains around 30 different products and new ones are frequently being added. 5.140242 45.398181 11.47757 48.230651 ch.blw.ursprungsbezeichnungen-pflanzen image/png Time current current 2056_26 Spirits The register of designations of origin (PDO) and geographical indications (PGI) allows the region names and traditional designations of agricultural products to be protected (with the exception of wine), where the quality and the main characteristics of the products are determined by their geographical origin. If a name is protected, it can only be used by producers in the specified geographical region, who must comply with a detailed requirements specification. The purpose of protecting certain designations of agricultural products is to prevent consumers from being exposed to fraud and, in the interests of farmers, to stop unfair competition relating to the use of the designations. The rules in this area allow for the mutual recognition of quality products by Switzerland and the European Union. There are four categories: cheese, meat products, products of plant origin and spirits. The register of designations of origin currently contains around 30 different products and new ones are frequently being added. 5.140242 45.398181 11.47757 48.230651 ch.blw.ursprungsbezeichnungen-spirituosen image/png Time current current 2056_26 Plans for Emergency protection The zone plans for emergency planning in the vicinity of nuclear facilities show the breakdown of the municipalities close to the nuclear facilities into zones 1 and 2. The Swiss Federal Nuclear Safety Inspectorate (ENSI) creates and maintains the zone plans in accordance with Article 3, Paragraph 4 of the Emergency Protection Ordinance (SR 732.33). Zone 1 is the area around a nuclear facility where there can be a risk to the population in the event of a serious incident, which means that protective measures must be taken immediately. Zone 2 is connected to zone 1 and consists of the area where there can be a risk to the population in the event of a serious incident, which means that protective measures must be taken. It is divided into risk sectors. The remainder of Switzerland is categorised as zone 3. A separate PSI/ZWILAG risk zone has been established for the federal interim storage facility at PSI-Ost and the ZWILAG interim storage facility in Würenlingen. 5.140242 45.398181 11.47757 48.230651 ch.ensi.zonenplan-notfallschutz-kernanlagen image/png Time current current 2056_26 CadastralWebMap The basis is a representation service (web map service) created using data from the federal AV-Geoportal. However, the service does not provide the full data from the official cadastral survey. 5.140242 45.398181 11.47757 48.230651 ch.kantone.cadastralwebmap-farbe image/png Time current true current 2056_28 Global radiation 2004-2020 (climate normals) Satellite based spatial analysis of monthly and yearly averages of global radiation (solar radiation and terrestrial radiation) over the period 2004-2020. 5.140242 45.398181 11.47757 48.230651 ch.meteoschweiz.klimanormwerte-globalstrahlung_aktuelle_periode image/png Time current current 2056_25 Precipitation 1961-1990 (climate normals) Spatial analysis of monthly and yearly averages of precipitation over the norm period 1961-1990. 5.140242 45.398181 11.47757 48.230651 ch.meteoschweiz.klimanormwerte-niederschlag_1961_1990 image/png Time current current 2056_26 Precipitation 1991-2020 (climate normals) Spatial analysis of monthly and yearly averages of precipitation over the norm period 1981-2010. 5.140242 45.398181 11.47757 48.230651 ch.meteoschweiz.klimanormwerte-niederschlag_aktuelle_periode image/png Time current current 2056_26 Sunshine duration 1961-1990 (climate normals) Spatial analysis of monthly and yearly averages of relative sunshine duration over the norm period 1961-1990. 5.140242 45.398181 11.47757 48.230651 ch.meteoschweiz.klimanormwerte-sonnenscheindauer_1961_1990 image/png Time current current 2056_26 Sunshine duration 1991-2020 (climate normals) Spatial analysis of monthly and yearly averages of relative sunshine duration over the norm period 1991-2020. 5.140242 45.398181 11.47757 48.230651 ch.meteoschweiz.klimanormwerte-sonnenscheindauer_aktuelle_periode image/png Time current current 2056_26 Temperature 1961-1990 (climate normals) Spatial analysis of monthly and yearly averages of temperature over the norm period 1961-1990. 5.140242 45.398181 11.47757 48.230651 ch.meteoschweiz.klimanormwerte-temperatur_1961_1990 image/png Time current current 2056_26 Temperature 1991-2020 (climate normals) Spatial analysis of monthly and yearly averages of temperature over the norm period 1991-2020. 5.140242 45.398181 11.47757 48.230651 ch.meteoschweiz.klimanormwerte-temperatur_aktuelle_periode image/png Time current current 2056_26 Climate scenarios indoor climate Based on the CH2018 climate change scenarios, physically consistent data on temperature, humidity, wind, and radiation were calculated at 45 stations on an hourly basis. These represent typical years (called Design Reference Years) and warm summers for the future. The data are available for the periods 2020-2049 and 2045-2074 for a number of greenhouse gas emission scenarios. Supplementing the climate data from SIA 2028, they provide an important basis for generating building simulations and were financed and compiled in joint projects by MeteoSwiss, the Building Department of the Canton of Zurich, FOEN, SIA, and HSLU. 5.140242 45.398181 11.47757 48.230651 ch.meteoschweiz.klimaszenarien-raumklima image/png Time current current 2056_26 Aeromagnetic Aargau 1100 m 100 The overall magnetisation of a rock consists of induced magnetisation caused by the Earth's magnetic field and of remanent magnetisation acquired by the rock during its formation. Regional or local differences in the geomagnetic field on the basis of a global model, referred to as anomalies, are measured from aircraft. These anomalies can make it possible to identify the geological and tectonic structures and the presence of mineral deposits. As part of Nagra's programme of geophysical investigations in northern Switzerland, the Swiss Geophysical Commission (SGPK) flew a 6,250-km grid to acquire aeromagnetic measurements. The results of these recordings are represented on four maps at a 1:100,000 scale: two maps of the total field (from altitudes of 1,500 m and 1,100 m) and two maps of the residual field after removal the regional trend. The maps do not show any anomalies that would allow determination of the depth to bedrock with its Permo-Carboniferous troughs. - Paper map: E. KLINGELE, 1982. - Vector map: online version, residual field only, E. KLINGELE, 2010. 5.140242 45.398181 11.47757 48.230651 ch.nagra.aeromagnetische-karte_1100 image/png Time current current 2056_26 Aeromagnetic Aargau 1500 m 100 The overall magnetisation of a rock consists of induced magnetisation caused by the Earth's magnetic field and of remanent magnetisation acquired by the rock during its formation. Regional or local differences in the geomagnetic field on the basis of a global model, referred to as anomalies, are measured from aircraft. These anomalies can make it possible to identify the geological and tectonic structures and the presence of mineral deposits. As part of Nagra's programme of geophysical investigations in northern Switzerland, the Swiss Geophysical Commission (SGPK) flew a 6,250-km grid to acquire aeromagnetic measurements. The results of these recordings are represented on four maps at a 1:100,000 scale: two maps of the total field (from altitudes of 1,500 m and 1,100 m) and two maps of the residual field after removal the regional trend. The maps do not show any anomalies that would allow determination of the depth to bedrock with its Permo-Carboniferous troughs. - Paper map: E. KLINGELE, 1982. - Vector map: online version, residual field only, E. KLINGELE, 2010. 5.140242 45.398181 11.47757 48.230651 ch.nagra.aeromagnetische-karte_1500 image/png Time current current 2056_26 Pro Natura: Nature Preserves Pro Natura sichert mit Verträgen über 770 Naturschutzgebiete in der Schweiz mit einer Gesamtfläche von rund 270 km2. Aus unterschiedlichen Gründen dürfen öffentlich nur 763 Gebiete dargestellt werden. In einem Teil dieser Gebiete führt Pro Natura die professionelle Betreuung selbst aus. Über 69 km2 davon sind im Eigentum von Pro Natura. Damit ist Pro Natura die grösste private Landbesitzerin der Schweiz. Für einen besseren Schutz oder zur Arrondierung und Aufwertung von Naturschutzgebieten sichert Pro Natura jedes Jahr zusätzliche Flächen oder kauft neue Parzellen. Eine Übersicht darüber gibt der jährliche Leistungsbericht. Sie verzichtet aber auch auf die Erneuerung von Verträgen, wenn der Schutz des Gebietes durch andere Massnahmen gewährleistet ist. Mit ihren Naturschutzgebieten sichert Pro Natura Lebensräume für unzählige Tier- und Pflanzenarten und schenkt Ihnen und den folgenden Generationen attraktive, unverbaute Landschaftselemente. Die Naturschutzgebiete von Pro Natura umfassen unter anderem auch Waldreservate. 5.140242 45.398181 11.47757 48.230651 ch.pronatura.naturschutzgebiete image/png Time current current 2056_27 Cableways/skilifts winter The cableways and skilifts operating in winter are part of the national maps with snow sports theme for Switzerland and adjacent parts of its neighbouring countries. The data set is produced in collaboration with the Swiss Alpine Club SAC and updated annually. Within Switzerland, this is a selection of objects from the Topographic Landscape Model TLM. Neither the Swiss Alpine Club SAC nor the Federal Office of Topography can accept liability for the accuracy, completeness or up-to-dateness of the information. This layer is ideally used in conjunction with public transport stops. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.bahnen-winter image/png Time current current 2056_26 DHM25 Hillshade The DHM25 hillshade is derived from the digital elevation model DHM25. It illustrates the surface relief of Switzerland and of the neighbouring territories . A hillshade is derived from the elevation model by calculating the exposure of the surface to sunlight at a certain angle. The calculated angle of the sun for the DHM25 Hillshade is at azimuth 315° (northwest), at a vertical angle of 45°. The digital elevation model DHM25 is a height matrix with 25 m grid. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.digitales-hoehenmodell_25_reliefschattierung image/png Time current current 2056_26 LV95 Triangular network The triangular network of the national survey (FINELTRA-LV) was completed in the 90's and has permitted to transform geodata from LV03 to LV95 and vice versa with an accuracy of about a decimetre. This network has been condensed systematically by the cantons in recent years, and then assembled by swisstopo in 2006 in a dataset named CHENyx06. With CHENyx06, geodata can be transformed from LV03 to LV95 and vice versa with an average accuracy of about 2 cm. The triangular network has been established from pass points called TSP (“Transformationsstützpunkte” in german). TSP are very accurately, in both reference frames LV03 and LV95, measured surveying points. TSP points of categories 1 and 2 are available from the “Control point data service “ (FPDS “Fixpunkt-Datenservice“ in german) or on the "Horizontal control points" layer in the federal geoportal map.geo.admin.ch. Information about other TSP points are provided by the cantons. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.dreiecksvermaschung image/png Time current current 2056_26 AGNES Instead of providing a user with the new reference frame LV95 in a classical manner with site descriptions and coordinates, it is also conceivable to provide LV95 using permanent and stable GPS stations. The result of this approach was the Automated GNSS Network for Switzerland (AGNES). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.fixpunkte-agnes image/png Time current current 2056_26 Geoid in CH1903 Swiss geoid model in the version of 2004 (CHGeo2004) in the reference system CH1903. It forms the zero reference surface (approximated mean sea level) for height determination and serves for the transformation between ellipsoidal heights and orthometric heights (LHN95). The geoid heights are stored in a regular 1x1 km grid and are interpolated by the biquadratic method. The model is available in various reference systems and data formats. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geoidmodell-ch1903 image/png Time current current 2056_26 Geoid in ETRS89 Swiss geoid model in the version of 2004 (CHGeo2004) in the reference system ETRS89. It forms the zero reference surface (approximated mean sea level) for height determination and serves for the transformation between ellipsoidal heights and orthometric heights (LHN95). The geoid heights are stored in a regular 30 x 30 seconds grid and are interpolated by the biquadratic method. The model is available in various reference systems and data formats. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geoidmodell-etrs89 image/png Time current current 2056_26 Anthrop. seismic noise CH The model describes the expected mean seismic ground-motion in nm/s in the frequency range between 1-40 Hz caused by anthropogenic activities. The model is derived from geodata on land-use and traffic infrastructure, and calibrated by over 600 seismological test measurements. (Kraft, T., A high-resolution and calibrated model of man-made seismic noise for Europe, 76. DGG annual meeting, Münster, 16. March 2016) 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-bodenunruhe image/png Time current current 2056_19 Deep wells This map shows the deep wells in Switzerland. The data come from the Federal Office of Topography swisstopo, from universities, cantons and private companies. Metadata are publicly accessible and the associated documents, when they are free for publication, are accessible through the Federal Geoportal (map.geo.admin.ch). For any information concerning the documentation, please contact the rights holder directly. The map is revised regularly and does not purport to be complete. MD = Measured depth, TVD = True vertical depth, TD = Total depth 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-bohrungen_tiefer_500 image/png Time current current 2056_23 Terrestrial Radiation Naturally unstable elements - such as uranium, thorium, potassium - in the upper 30 to 40 cm of the ground yield the bulk of the measured terrestrial radiation at the surface. The terrestrial radiation level is recorded one meter above the ground in the unit of measure nano-Sievert per hour (nSv/h). In Switzerland, rocks with high concentrations of uranium, thorium and potassium are mainly found in the Alps. Various methods of measurement form the basis of the terrestrial radiation dosage map: gamma spectrometry measurements of soil samples in the laboratory and aero-radiometric and gamma spectrometric measurements on site. The data from the measured locations were interpolated into a grid of 2 × 2 km. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-dosisleistung-terrestrisch image/png Time current current 2056_26 Last glacial maximum (vector) 500 The map (GK500-LGM) shows the maximum extent of glaciation in Switzerland at the height of the last Ice Age around 24,000 years ago. It presents the latest results of current research on the Ice Age in the form of a high-quality map. The build-up and retreat of glaciers are indications of significant climate-related environmental changes during the relatively recent history of the Earth. - By "Schlüchter, C. (compil.) 2009. Die Schweiz während des letzteiszeitlichen Maximums (LGM), 1:500'000. GeoKarten500, Bundesamt für Landestopografie swisstopo, Wabern." 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-eiszeit-lgm image/png Time current current 2056_26 Last glacial maximum (map) 500 The map (GK500-LGM) shows the maximum extent of glaciation in Switzerland at the height of the last Ice Age around 24,000 years ago. It presents the latest results of current research on the Ice Age in the form of a high-quality map. The build-up and retreat of glaciers are indications of significant climate-related environmental changes during the relatively recent history of the Earth. - By "Schlüchter, C. (compil.) 2009. Die Schweiz während des letzteiszeitlichen Maximums (LGM), 1:500'000. GeoKarten500, Bundesamt für Landestopografie swisstopo, Wabern." 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-eiszeit-lgm-raster image/png Time current current 2056_26 Bedrock elevation model The national bedrock elevation model represents the bedrock surface, which also corresponds to the base of the unconsolidated deposits. The model has a 10 x 10 m raster cell size and shows the altitude in meters above sea level. The bedrock elevation model (BEM) is part of the larger swissBEDROCK dataset, which also includes the <a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-lockergestein_maechtigkeitsmodell&topic=geol" target="_blank">thickness model of unconsolidated deposits (TMUD)</a>, uncertainty estimates and changes compared to previous versions. The full swissBEDROCK dataset can be <a href="https://www.swisstopo.admin.ch/en/swissbedrock-en" target="_blank">downloaded here</a> or viewed and queried on <a href="https://viewer.swissgeol.ch/?lon=8.41012&lat=46.83165&elevation=425641&heading=0&pitch=-90&map=ch.swisstopo.pixelkarte-grau&map_transparency=0.00&layers=ch.swisstopo.swissbedrock-geotiff&layers_visibility=true&layers_transparency=0.50&layers_timestamp=" target="_blank">viewer.swissgeol.ch</a> on a cell basis. The model consists of data provided by third parties and parts that have been modelled by the Federal Office of Topography. A <a href="https://www.geocat.ch/geonetwork/srv/api/records/f7836146-3f9a-4807-9011-618800409236/attachments/swissBEDROCK_ReleaseNotes_R1.pdf?approved=true" target="_blank">release notes</a> file is provided detailing the origin and characteristics of the various model components. More information on the methodological overview and workflow can be found in the <a href="https://www.geocat.ch/geonetwork/srv/api/records/f7836146-3f9a-4807-9011-618800409236/attachments/swissBEDROCK_model_description.pdf?approved=true" target="_blank">model description</a>. 3D models represent a simplification of the real geological settings. The user acknowledges that the authors have taken every reasonable effort to ensure that information contained in the presented 3D geological model is as accurate as possible. There is no guarantee that the given data related to a definite point in the subsurface is accurate. Under no circumstances will the publisher be liable for any loss or damage of a material or immaterial nature arising from access to, use or non-use of published information, or from misuse or technical breakdown. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-felsoberflaeche_hoehenmodell image/png Time current current 2056_26 General Geol. Map 200 Geological mapping of the whole country based on the Dufour Map of Switzerland. Comprised of eight sheets, published between 1942 and 1964, the General Geological Map of Switzerland (GGK200) is a historical document of the highest quality. The printed versions of the sheets of the General Geological Map are partially out of print, but each sheet is available as a pixel map. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-generalkarte-ggk200 image/png Time current current 2056_26 GeoCover - Vector Datasets The GeoCover geological datasets are geodata representing the geology of the surface (2D) for the whole of Switzerland. These data, standardised according to the 2D Geological Data Model, are currently being updated (first update for the whole of Switzerland by the end of 2030). The progress of the update can be viewed in the <a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geocover.metadata&topic=geol" target="_blank">Division GeoCover</a>, which also contains metadata describing each of the datasets. For updated data, a brief report for each sheet concerned is available via the «Object information» tool in the «GeoCover» layer. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geocover image/png Time current current 2056_23 Bouguer anomalies 500 Gravitational acceleration or gravity depends on the location of the measuring point and the mass distribution in the subsurface structure. A Bouguer anomaly is the difference between the gravity measured at a particular point on the Earth's surface and the gravity value expected at the same point for an Earth model with a homogeneous crust. Bouguer anomalies are calculated using the International Gravity Formula of 1967. Topographic effects are taken into account using a constant density of 2670 kg/m3 to a depth of 167 km (Hayford Zone O2). The map highlights, on the one hand, the regional negative gravity anomalies along the Alps and, on the other hand, the positive anomalies in the Sesia-Finero zone, which signify a mass excess in the Earth's interior. By E. Klingelé & R. Olivier, 1979. New edition: R. Olivier, B. Dumont & E. Klingelé, 2008. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geodaesie-bouguer_anomalien image/png Time current current 2056_26 Isostatic anomalies 500 Isostatic anomalies can be deduced using the Pratt or Airy hypothesis. These anomalies correspond to the static flotation of the Earth’s crust in the upper mantle. The deviation takes into consideration the root structure below the crust (mountain ranges), but the form of the root structure is not always clearly defined. The Airy-Heiskanen hypothesis and the following densities were used for the purposes of the map: Earth's mantle = 3.31 g/cm3, Earth's crust below the ellipsoid = 2.81 g/cm3, Earth's crust above the ellipsoid = 2.67 g/cm3. By E. Klingelé, 1979. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geodaesie-isostatische_anomalien image/png Time current current 2056_26 3D geological models The data set «3D geological models» provides an overview of both the location and main characteristics of already existing models or those that are currently still in progress. The models have been created by the Federal Office of Topography swisstopo, universities, cantons and private companies. For more information on a specific model, please contact the relevant owner / author directly. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geologische_3dmodelle image/png Time current current 2056_25 Geology 500 The 1:500,000 Geological Map of Switzerland covers the whole of Switzerland and adjoining parts of neighbouring countries. It gives an overview of the distribution of the uppermost rock strata occurring in Switzerland. Therefore, it provides an important data base and functions as a tool for gaining a better understanding of our environment in the scope of sustainable development. It is an essential aid for education in the fields of environmental and earth sciences, as well as natural hazards. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geologische_karte image/png Time current current 2056_26 Geological Atlas GA25 The sheets of the Geological Atlas of Switzerland (GA25) give detailed information about the uppermost layers of the subsurface structure. Geological formations are represented by colours, conventional signs and symbols, which correspond to their age, composition and tectonic structure. For each sheet, an explanatory booklet is also published, in which the geological formations and special features of the study area are described. Over two thirds of the 220 map sheets that are planned have already been published. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geologischer_atlas image/png Time current current 2056_26 Geological profiles GA25 The GA25-Profile dataset (GA25_CS) is a compilation of the profiles published together with the Geological Atlas 1:25,000. It depicts the profile tracks and contains metadata on the profiles. The given year of issue corresponds to the publication year of the respective explanatory notes. The profiles represented by the tracks were extracted from the published profile plates and, if possible, saved individually along with the entire plate legend and scale as a PDF. Since the legend always refers to the entire plate, it is likely that not all elements of the legend appear in the individual profile. In a few cases, plates with very closely spaced profiles cannot be subdivided into single profiles. In these cases, the entire plate is shown for each group of the profile tracks. LINK: <a href="https://www.geocat.ch/geonetwork/srv/api/records/345d02a3-9628-46d7-9e57-e0ab1d9faf8a/attachments/GA25_Profile_Faktenblatt_EN_230113.pdf?approved=true" target="_blank">Fact sheet</a> LINK: <a href="https://www.geocat.ch/geonetwork/srv/api/records/345d02a3-9628-46d7-9e57-e0ab1d9faf8a/attachments/GA25_Profile_Modellbeschreibung_DE_230113.pdf?approved=true" target="_blank">Dataset description</a> LINK: <a href="https://map.geo.admin.ch/?topic=geol&lang=en&bgLayer=ch.swisstopo.pixelkarte-grau&layers=ch.swisstopo.geologie-geologischer_atlas" target="_blank">map.geo.admin.ch – Geological Atlas GA25</a> Disclaimer: The user acknowledges that the authors have made all reasonable efforts to verify the information in the particular geologic model / dataset. There is no guarantee that the provided data are correct at any particular point in the subsurface. Under no circumstances shall the publisher be liable for any loss or damage of a material or immaterial nature arising from access to or from use, misuse or technical malfunction of the published information. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geologischer_atlas_profile image/png Time current current 2056_26 Top OMM This map depicts a 2D view of the modelled Top Upper Marine Molasse stratigraphic horizon surface and the location of the modelled faults where they intersect this horizon surface. The elevation maps listed under the GeoMol17 model were created for the publication of the GeoMol final report and thus correspond to the 2017 version. The geological 3D model is regularly updated with new data and is available online at <a href="https://viewer.swissgeol.ch/?lon=7.58406&lat=45.38694&elevation=251358&heading=1&pitch=-59&map=ch.swisstopo.pixelkarte-grau&map_transparency=0.90&layers=base_permocarboniferous%2Cbase_permocarboniferous_supposed%2Ctop_muschelkalk%2Ctop_dogger%2Cbase_mesozoic%2Ctop_lias%2Ctop_keuper%2Ctop_cretaceous%2Ctop_upper_malm%2Ctop_lower_malm%2Ctop_umm%2Ctop_usm%2Ctop_omm%2Cfaults_geomol&layers_visibility=true%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue&layers_transparency=0.00%2C0.00%2C0.00%2C0.00%2C0.00%2C0.00%2C0.00%2C0.00%2C0.00%2C0.00%2C0.00%2C0.00%2C0.00%2C0.41" target="_blank">viewer.swissgeol.ch</a>. GeoMol17 is a detailed 3D geological model of the Swiss Molasse Basin, created by swisstopo in collaboration with five partners. It provides a unified geological interpretation of the entire Swiss Plateau and consists of 12 stratigraphic horizon surfaces (Cenozoic, Mesozoic and Permocarboniferous) and around 550 fault surfaces. The <a href="https://www.geocat.ch/geonetwork/srv/api/records/b8cacfe8-1af6-419f-bee1-c2d5aba84ad8/attachments/Bericht_Geomol_DE.pdf" target="_blank">GeoMol – Geological 3D model of the Swiss Molasse Basin</a> report contains a detailed documentation of the input data, the methodology and the results, as well as their uncertainties and fields of application. The data used for the modelling are presented in the corresponding data map. This digital elevation map consists of a grid with a mesh size of 100 metres and shows the elevation in metres above mean sea level. Geological 3D models represent simplifications of the actual geology. The user acknowledges that the authors have taken all reasonable efforts to verify the information contained in the geological 3D model. There is no guarantee that the data given is correct at a specific point in the subsurface. Under no circumstances will the publisher be held liable for any loss or damage of a material or immaterial nature arising from the access of, the use or non-use of the published information, from misuse or technical breakdown.<ul> Further GeoMol map layers: <ul> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_usm&topic=geol" target="_blank">Top USM</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_basis_kaenozoikum&topic=geol" target="_blank">Base «Cenozoic»</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_kreide&topic=geol" target="_blank">Top «Cretaceous»</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_oberer_malm&topic=geol" target="_blank">Top Upper Malm</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_unterer_malm&topic=geol" target="_blank">Top Lower Malm</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_dogger&topic=geol" target="_blank">Top Dogger</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_lias&topic=geol" target="_blank">Top Lias</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_keuper&topic=geol" target="_blank">Top Keuper</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_muschelkalk&topic=geol" target="_blank">Top Muschelkalk</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_basis_mesozoikum&topic=geol" target="_blank">Base «Mesozoic»</a></li> 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geomol_hoehe_top_omm image/png Time current current 2056_25 Temperature model - data This map shows the location of the input data as well as the limit of the GeoMol15 temperature model. As such, this map should be used in conjunction with the associated GeoMol15 temperature maps i.e.:<ul> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperatur_top_omm&topic=geol" target="_blank">Temperatures Top OMM</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperatur_top_omalm&topic=geol" target="_blank">Temperatures Top Upper Malm</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperatur_top_muschelkalk&topic=geol" target="_blank">Temperatures Top Muschelkalk</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_500&topic=geol" target="_blank">Temperatures 500 m depth</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_1000&topic=geol" target="_blank">Temperatures 1000 m depth</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_1500&topic=geol" target="_blank">Temperatures 1500 m depth</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_2000&topic=geol" target="_blank">Temperatures 2000 m depth</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_3000&topic=geol" target="_blank">Temperatures 3000 m depth</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_4000&topic=geol" target="_blank">Temperatures 4000 m depth</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-isotherme_60&topic=geol" target="_blank">Elevation 60 °C isotherm</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-isotherme_100&topic=geol" target="_blank">Elevation 100 °C isotherm</a></li> <li><a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-isotherme_150&topic=geol" target="_blank">Elevation 150 °C Isotherm</a></li> </ul>The input data locations shown here in this map include both the wells – one of which is a constraint point - and the limit of the FE-method temperature model (Geowatt AG, 2015). Further details are located in the Infobox associated with each of the temperature maps. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten image/png Time current current 2056_27 Temperatures 1000 m depth One of the main parameters used in assessing the geothermal potential of the Swiss Molasse Basin is the subsurface distribution of temperature. This map shows the temperature distribution and position of the faults at a depth of 1000 m below ground level. It is one of a set of maps that shows the distribution of temperature on selected surfaces representing seismic marker horizons, fixed depths below ground level or isotherms. The horizon surfaces are taken from the GeoMol15 geological 3D model and the temperatures from the GeoMol15 temperature model, which is composed of regular cells that are 1000x1000x100 m in size. This temperature block model is derived from a FE-method temperature model (Geowatt AG, 2015), which is based primarily on 31 vertical temperature profiles and the horizon surfaces from the <a href="https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html" target="_blank">Seismic Atlas of the Swiss Molasse Basin (2012)</a>. The FE temperature modelling method assumes conductive heat flow only and does not consider convective heat flow. The GeoMol15 and associated temperature model are available for online viewing with the <a href="https://viewer.geomol.ch/webgui/gui2.php" target="_blank">GeoMol Viewer</a>. Please also see the associated «<a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&topic=geol" target="_blank">Temperature Model - Data</a>» map on map.geo.admin.ch. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geomol-temperaturverteilung_1000 image/png Time current current 2056_27 Temperatures 1500 m depth One of the main parameters used in assessing the geothermal potential of the Swiss Molasse Basin is the subsurface distribution of temperature. This map shows the temperature distribution and position of the faults at a depth of 1500 m below ground level. It is one of a set of maps that shows the distribution of temperature on selected surfaces representing seismic marker horizons, fixed depths below ground level or isotherms. The horizon surfaces are taken from the GeoMol15 geological 3D model and the temperatures from the GeoMol15 temperature model, which is composed of regular cells that are 1000x1000x100 m in size. This temperature block model is derived from a FE-method temperature model (Geowatt AG, 2015), which is based primarily on 31 vertical temperature profiles and the horizon surfaces from the <a href="https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html" target="_blank">Seismic Atlas of the Swiss Molasse Basin (2012)</a>. The FE temperature modelling method assumes conductive heat flow only and does not consider convective heat flow. The GeoMol15 and associated temperature model are available for online viewing with the <a href="https://viewer.geomol.ch/webgui/gui2.php" target="_blank">GeoMol Viewer</a>. Please also see the associated «<a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&topic=geol" target="_blank">Temperature Model - Data</a>» map on map.geo.admin.ch. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geomol-temperaturverteilung_1500 image/png Time current current 2056_27 Temperatures 2000 m depth One of the main parameters used in assessing the geothermal potential of the Swiss Molasse Basin is the subsurface distribution of temperature. This map shows the temperature distribution and position of the faults at a depth of 2000 m below ground level. It is one of a set of maps that shows the distribution of temperature on selected surfaces representing seismic marker horizons, fixed depths below ground level or isotherms. The horizon surfaces are taken from the GeoMol15 geological 3D model and the temperatures from the GeoMol15 temperature model, which is composed of regular cells that are 1000x1000x100 m in size. This temperature block model is derived from a FE-method temperature model (Geowatt AG, 2015), which is based primarily on 31 vertical temperature profiles and the horizon surfaces from the <a href="https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html" target="_blank">Seismic Atlas of the Swiss Molasse Basin (2012)</a>. The FE temperature modelling method assumes conductive heat flow only and does not consider convective heat flow. The GeoMol15 and associated temperature model are available for online viewing with the <a href="https://viewer.geomol.ch/webgui/gui2.php" target="_blank">GeoMol Viewer</a>. Please also see the associated «<a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&topic=geol" target="_blank">Temperature Model - Data</a>» map on map.geo.admin.ch. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geomol-temperaturverteilung_2000 image/png Time current current 2056_27 Temperatures 3000 m depth One of the main parameters used in assessing the geothermal potential of the Swiss Molasse Basin is the subsurface distribution of temperature. This map shows the temperature distribution and position of the faults at a depth of 3000 m below ground level. It is one of a set of maps that shows the distribution of temperature on selected surfaces representing seismic marker horizons, fixed depths below ground level or isotherms. The horizon surfaces are taken from the GeoMol15 geological 3D model and the temperatures from the GeoMol15 temperature model, which is composed of regular cells that are 1000x1000x100 m in size. This temperature block model is derived from a FE-method temperature model (Geowatt AG, 2015), which is based primarily on 31 vertical temperature profiles and the horizon surfaces from the <a href="https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html" target="_blank">Seismic Atlas of the Swiss Molasse Basin (2012)</a>. The FE temperature modelling method assumes conductive heat flow only and does not consider convective heat flow. The GeoMol15 and associated temperature model are available for online viewing with the <a href="https://viewer.geomol.ch/webgui/gui2.php" target="_blank">GeoMol Viewer</a>. Please also see the associated «<a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&topic=geol" target="_blank">Temperature Model - Data</a>» map on map.geo.admin.ch. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geomol-temperaturverteilung_3000 image/png Time current current 2056_27 Temperatures 4000 m depth One of the main parameters used in assessing the geothermal potential of the Swiss Molasse Basin is the subsurface distribution of temperature. This map shows the temperature distribution and position of the faults at a depth of 4000 m below ground level. It is one of a set of maps that shows the distribution of temperature on selected surfaces representing seismic marker horizons, fixed depths below ground level or isotherms. The horizon surfaces are taken from the GeoMol15 geological 3D model and the temperatures from the GeoMol15 temperature model, which is composed of regular cells that are 1000x1000x100 m in size. This temperature block model is derived from a FE-method temperature model (Geowatt AG, 2015), which is based primarily on 31 vertical temperature profiles and the horizon surfaces from the <a href="https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html" target="_blank">Seismic Atlas of the Swiss Molasse Basin (2012)</a>. The FE temperature modelling method assumes conductive heat flow only and does not consider convective heat flow. The GeoMol15 and associated temperature model are available for online viewing with the <a href="https://viewer.geomol.ch/webgui/gui2.php" target="_blank">GeoMol Viewer</a>. Please also see the associated «<a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&topic=geol" target="_blank">Temperature Model - Data</a>» map on map.geo.admin.ch. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geomol-temperaturverteilung_4000 image/png Time current current 2056_27 Temperatures 500 m depth One of the main parameters used in assessing the geothermal potential of the Swiss Molasse Basin is the subsurface distribution of temperature. This map shows the temperature distribution and position of the faults at a depth of 500 m below ground level. It is one of a set of maps that shows the distribution of temperature on selected surfaces representing seismic marker horizons, fixed depths below ground level or isotherms. The horizon surfaces are taken from the GeoMol15 geological 3D model and the temperatures from the GeoMol15 temperature model, which is composed of regular cells that are 1000x1000x100 m in size. This temperature block model is derived from a FE-method temperature model (Geowatt AG, 2015), which is based primarily on 31 vertical temperature profiles and the horizon surfaces from the <a href="https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html" target="_blank">Seismic Atlas of the Swiss Molasse Basin (2012)</a>. The FE temperature modelling method assumes conductive heat flow only and does not consider convective heat flow. The GeoMol15 and associated temperature model are available for online viewing with the <a href="https://viewer.geomol.ch/webgui/gui2.php" target="_blank">GeoMol Viewer</a>. Please also see the associated «<a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&topic=geol" target="_blank">Temperature Model - Data</a>» map on map.geo.admin.ch. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geomol-temperaturverteilung_500 image/png Time current current 2056_27 Overview of geomorphology Geomorphology includes all of the processes capable of typically shaping and dynamically reshaping the ground surface, e.g. through the effects of water (rivers, streams: fluvial and karst processes), ice (glaciers, permafrost: glacial and periglacial processes), wind (aeolian processes) and under the influence of gravity (e.g. sackung, landslides: denudation and gravitation processes). Data source: Atlas of Switzerland, Sheet 8, Geomorphology (1975) 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geomorphologie image/png Time current current 2056_26 Aeromagnetics Plateau/Jura 500 The overall magnetisation of a rock consists of induced magnetisation caused by the Earth's magnetic field and of remanent magnetisation acquired by the rock during its formation. Regional or local differences in the geomagnetic field on the basis of a global model, referred to as anomalies, are measured from aircraft. These anomalies can make it possible to identify the geological and tectonic structures and the presence of mineral deposits. The special aeromagnetic map shows the total intensity of the magnetic field (epoch 1980.5) measured at an altitude of 1829 m a.s.l. – Paper map: total field, E. KLINGELE, 1982. – Vector map: online version, aeromagnetic residual anomalies (removal of regional trends), E. KLINGELE, 2009. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geophysik-aeromagnetische_karte_jura image/png Time current current 2056_26 Aeromagnetics 500 The overall magnetisation of a rock consists of induced magnetisation caused by the Earth's magnetic field and of remanent magnetisation acquired by the rock during its formation. Regional or local differences in the geomagnetic field on the basis of a global model, referred to as anomalies, are measured from aircraft. These anomalies can make it possible to identify the geological and tectonic structures and the presence of mineral deposits. The Aeromagnetic Map of Switzerland shows the total intensity of the magnetic field (epoch 1981.5) measured at an altitude of 5000 m a.s.l. - Paper map: total field, E. KLINGELE, 1982. - Vector map: online version, aeromagnetic residual anomalies (removal of regional trends), E. KLINGELE, 2009. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geophysik-aeromagnetische_karte_schweiz image/png Time current current 2056_26 Declination 500 Geomagnetic maps are the result of measurements of total intensity, declination and inclination. The declination describes the angle formed between magnetic and geographic north. Because the Earth's magnetic field changes over time, the data in this map always relate to a specific time period. The values can be adapted using correction formulae, which have experimentally determined coefficients. Paper map: G. Fischer & P.-A. Schnegg, 1979 (explanatory text on the back of the map). Vector map: 2001. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geophysik-deklination image/png Time current current 2056_26 Heat flux 500 The geothermal map shows the thermal energy that is produced in the subsurface and traverses the Earth's surface within an area of 1 m2 (mW/m2). The heat flow data is calculated from the temperature gradient (average value approx. 30 K/km) and heat conductivity of the rock (average value approx. 3 W/(m·K). The heat itself is released in the Earth's crust (ca. 30 km thick) generally by radioactive decay processes. On average, the heat flow in Switzerland is around 90 mW/m2. The highest figures are found in northern Switzerland and the lowest in the Alps/Jura. Differences are caused by deep groundwater circulating in permeable rock strata. - Source: <a href="https://www.geocat.ch/geonetwork/srv/api/records/2d8174b2-8c4a-44ea-b470-cb3f216b90d1/attachments/Beitrag_GP_030_Medici-Rybach.pdf?approved=true" target="_blank">F. MEDICI & L. RYBACH, Geothermal map of Switzerland 1995 (heat flow density), Contributions to the Geology of Switzerland, Geophysical Series, No. GP-30</a>. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geophysik-geothermie image/png Time current current 2056_26 Inclination 500 Geomagnetic maps are the result of measurements of total intensity, declination and inclination. The inclination is the angle formed by the orientation of the magnetic field relative to the horizon. Because the Earth's magnetic field changes over time, the data in this map always relate to a specific time period. The values can be adapted using correction formulae which have experimentally determined coefficients. Paper map: G. Fischer & P.-A. Schnegg, 1979 (explanatory text on the back of the map). Vector map: 2001. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geophysik-inklination image/png Time current current 2056_26 Magnetic field strength 500 Geomagnetic maps are the result of measurements of total intensity, declination and inclination. The geomagnetic field is defined by a vector, which isrepresented in terms of its direction and intensity (nT). Because the Earth's magnetic field changes over time, the data in this map always relates to a specific time period. The values can be adapted using correction formulae which have experimentally determined. Paper map: G. Fischer & P.-A. Schnegg, 1979 (explanatory text on the back of the map). Vector map: 2001. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geophysik-totalintensitaet image/png Time current current 2056_26 Origin of rocks 500 The Lithological map of Switzerland – Genesis 1:500,000 provides an overview of the subsurface classified according to the origin of the rocks, e.g. deposits from rivers and glaciers, solidification of magma or transformation of rocks through the effects of pressure and temperature.The geometry of the polygons was reproduced unmodified from the Geological and Tectonic maps of Switzerland 1:500,000. Additional attributes were assigned to the polygons on the basis of the Lithological-petrographic map 1:200,000. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geotechnik-gk500-genese image/png Time current current 2056_26 Groups of rocks 500 The Lithological map of Switzerland – Groups of rocks 1:500,000 provides an overview of the subsurface subdivided into three groups of rocks: unconsolidated rocks, sedimentary rocks and crystalline rocks.The geometry of the polygons was reproduced unmodified from the Geological and Tectonic maps of Switzerland 1:500,000. Additional attributes were assigned to the polygons on the basis of the Lithological-petrographic map 1:200,000. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geotechnik-gk500-gesteinsklassierung image/png Time current current 2056_26 Lithology 500 The Lithological map of Switzerland 1:500,000 provides an overview of the subsurface classified according to lithological and petrographic criteria.The geometry of the polygons was reproduced unmodified from the Geological and Tectonic maps of Switzerland 1:500,000. Additional attributes were assigned to the polygons on the basis of the Lithological-petrographic map 1:200,000. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geotechnik-gk500-lithologie_hauptgruppen image/png Time current current 2056_26 Natural stones on buildings This dataset shows the use of stone in the construction of over 4,000 buildings in Switzerland. The data was collected by Francis de Quervain between 1954 and 1983. Over the past ten years, the collection has been continuously supplemented with other stone applications. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geotechnik-steine_historische_bauwerke image/png Time current current 2056_26 Geotopes in Switzerland Geotopes are geoscientific natural monuments. Geotopes that represent geological history show the development of the landscape, the climate and life, the formation and disappearance of mountains and the origins of rocks. Other geotopes shed light on the processes taking place on the Earth's surface and in the Earth's interior. They also include the hidden world of caves and groundwater. A final group of geotopes consists of active elements of the landscape, such as scree slopes, flood plains and groundwater springs. Geotopes are spatially limited parts of the mineral, uninhabited Earth (geosphere). Depending on their thematic content, they can be an individual occurrence in one location or an entire portion of the landscape. They must be protected against influences that can impair their substance, structure, form or natural development. The geotopes listed here are of national importance and are taken from the informal inventory of the Swiss geotope working group (Swiss Academy of Sciences SCNAT). The inventory is not based on a systematic survey and, therefore, does not claim to be complete. Sources: Felber, M. (1999): Inventar der Geotope nationaler Bedeutung. Geologia Insubrica 4/1. Reynard, E., Berger, J.-P., Constandache, M., Felber, M., Grangier, L., Häuselmann, P., Jeannin, P.-Y. & Martin, S. (2012): Révision de l'inventaire des géotopes suisses: rapport final. – Geosciences, Platform of the Swiss Academy of Science. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geotope image/png Time current current 2056_26 Status of cantonal geotopes The Geotopes Project Group (Swiss Academy of Sciences SCNAT) centralises all geodata relating to cantonal geotope inventories in a GIS database. The aim is to obtain a nationwide overview of geotope inventories at the cantonal level. The map shows the current status of the cantonal geotope inventories. It facilitates access to the information and geodata from the cantonal geotope inventories. “Inventory accessible” means tha geotope inventories are accessible via a cantonal geoportal, in most cases. The case “Inventory available from the canton” indicates that interested parties must send their requests to the cantonal offices. “No inventory” signifies that the canton does not have a geotope inventory, but in some cases, cantonal inventories are currently being prepared. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geotope_kantone_stand image/png Time current current 2056_26 Geo-trails Geotourism valorizes special geological and landscape features. Geological hiking trails (Geo-trails), maps and guides are produced to make geology accessible to a broad audience. The Swiss Academy of Sciences (SCNAT) and “Erlebnis Geologie” have compiled a list of these trails. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-geowege image/png Time current current 2056_26 Rock density An important physical property of rock is its density, which depends mainly on mineralogy and porosity. Rocks made of minerals with a high content of magnesium, iron or other heavy metallic elements have a high density. In contrast, rocks that have a large proportion of alkalis (e.g. sodium, potassium) and silicon dioxide have a comparatively low density. Furthermore, rocks with a crystalline structure generally have a greater density than those with an amorphous (glassy) structure. Density is defined as mass per unit volume of a material [kg/m3]. While the so-called bulk density comprises the entire volume of a rock, the pure density (also called grain density) represents the volume without the empty spaces – i.e. without the porosity. Based on a database of density values, a bulk-density map of Switzerland was produced, which shows the mean value and other statistical data of all measured samples from each of the 21 lithological groups. Consequently, at no point does the density map show the expected absolute bulk density of a local rock type. Instead, it primarily shows the range in which the density of the local lithology varies. The data source, the data processing and the methodology used to produce the density map can be found in the publication by <a href="https://sjg.springeropen.com/articles/10.1186/s00015-021-00389-3" target="_blank">Alba Zappone & Edi Kissling (2021, Swiss J. Geosciences)</a>. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-gesteinsdichte image/png Time current current 2056_26 Extent of glaciers Glacier Monitoring in Switzerland (GLAMOS) aims to document glacier changes in Switzerland in the long term. Data are collected systematically, not only on development of surface area and volume, but also on snow accumulation, melting of ice, glacier flow and ice temperatures. This information is important for understanding the interaction between glaciers and climate. It is used to estimate water resources, natural hazards and future rise in sea level. Glacier inventories include perimeters, surface areas and other measurement parameters for all glaciers at a given time in a specific area. For the Swiss Alps, complete inventories are available for the years 1850 (reconstructed subsequently), 1973, 2010 and 2016 (derived from aerial photographs). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-gletscherausdehnung image/png Time current current 2056_26 Glacier thickness Glacier Monitoring in Switzerland (GLAMOS) aims to document glacier changes in Switzerland in the long term. The Laboratory of Hydraulics, Hydrology and Glaciology (VAW) and other GLAMOS institutions systematically collect data not only on development of surface area and volume, but also on snow accumulation, melting of ice, glacier flow and ice temperatures. Determining the ice thickness and estimating the total ice volume in the Swiss Alps are based on georadar measurements combined with glaciological calculation methods. By 2015, around 1,500 km of georadar profiles had been recorded on Swiss glaciers as part of various projects. Thereafter, around 1,250 km of georadar profiles were acquired using a new helicopter-borne system developed at ETH Zurich. To interpolate between the measured georadar profiles and to calculate the total ice volume, ETH Zurich developed two different, independent algorithms based on the principles of ice flow. From the ice thickness measurements available up to 2020 and the knowledge of the glacier areas and surface topography, it was finally possible to determine the distribution of the ice thickness of all glaciers nationwide. In addition, the results allowed the topography of the glacier beds to be derived. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-gletschermaechtigkeit image/png Time current current 2056_26 Gravimetric Atlas 100 The Bouguer anomalies for Switzerland are shown on 22 sheets. A Bouguer anomaly is the difference between the gravity measured at a particular point on the Earth's surface and the gravity value expected at the same point for an Earth model with a homogeneous crust. Gravity anomalies in the Earth's crust are calculated using the International Gravity Formula of 1967. Topographic effects are taken into account using a constant density of 2670 kg/m3 to a depth of 167 km (Hayford Zone O2). The Gravimetric Atlas of Switzerland (GRAV100) is a publication of the Swiss Geophysical Commission (part of the Swiss Academy of Sciences). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-gravimetrischer_atlas image/png Time current current 2056_26 Gravimetric measuring points 100 Ein Netz von Schwerestationen mit einer Dichte von rund 0.5 Stationen pro Quadratkilometer über die gesamte Schweiz verteilt wurde aufgebaut, um hochauflösende Bouguerkarten (Massstäbe 1:100000 und 1:500000) herzustellen. Als Bouguer-Anomalie bezeichnet man die Differenz zwischen der in einem bestimmten Punkt auf der Erdoberfläche gemessenen Schwere und jenem Schwerewert, welchen man für eine schalenförmig homogene Erde am selben Punkt erwarten würde. Die Berechnungen der Schwereanomalien der Erdkruste basieren auf der internationalen Schwereformel von 1967. Die Geländeeinwirkung wurde mit einer konstanten Dichte von 2670 kg/m3 bis 167 km Entfernung (Zone O2 nach Hayford) berücksichtigt.- Der Gravimetrische Atlas der Schweiz (GRAV100) ist eine Publikation der Schweizerischen Geophysikalischen Kommission (Organ der Akademie der Naturwissenschaften). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-gravimetrischer_atlas.messpunkte image/png Time current current 2056_26 Hard rock: Occurrences Hard rock aggregates play a central role particularly for the construction and maintenance of the Swiss railway network (railway ballast) as well as of high-performance roads. For further information: <a href="https://mat-min.ch/de/hartstein" target="_blank">www.mat-min.ch</a>. This dataset (raster cell size: 50 x 50 m) shows an estimation of the spatial distribution, the usable thickness and the quality of the hard rock-bearing geological units situated at a ground elevation lower than 1300 m a.s.l. and with a thickness exceeding 30 m. The dataset has been produced based on geological profiles, stratigraphic descriptions and through an automated workflow applied to the GeoCover dataset. Explanatory notes regarding the geological units considered and their characteristics can be found in the <a href="https://api3.geo.admin.ch/featureattachments/ch.swisstopo.geologie-hartsteinvorkommen/pdf/Hard_rock_catalog_2024.pdf" target="_blank">Hard rock catalog</a>. The workflow and methodology used for the compilation of the dataset are described in the <a href="https://api3.geo.admin.ch/featureattachments/ch.swisstopo.geologie-hartsteinvorkommen/pdf/Hard_rock_tech_doc_2024.pdf" target="_blank">Technical documentation</a> and in <a href="https://doi.org/10.1016/j.jsg.2023.104865" target="_blank">Nibourel et al. (2023)</a>. The hard rock aggregates production and mining sites are displayed in a dedicated dataset (<a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-hartsteinabbau&topic=georessourcen" target="_blank">Hard rock aggregates: Production and mining sites</a>).The user acknowledges that the authors have taken every reasonable effort to ensure that information contained in this dataset is as accurate as possible. There is no guarantee that the given data related to a definite point in the subsurface is completely accurate. Under no circumstances will the publisher be liable for any loss or damage of a material or immaterial nature arising from access to, use or non-use of published information, or from misuse or technical breakdown. In case it is desired to develop a mining site, it is essential to conduct a detailed geological investigation on the location of interest. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-hartsteinvorkommen image/png Time current current 2056_26 Groundwater Resources 500 The Federal Office for the Environment (FOEN) is the body within the Swiss Geological Survey responsible for hydrogeology. The 1:500,000 Hydrogeological Map forms part of the GeoMaps series (GK500) and is divided into two sheets. The first (GK500-Hydro) represents the various groundwater resources in Switzerland and their productiveness. The second (GK500-Hydro_Vul) shows the vulnerability of the groundwater resources to the risk of pollution. The groundwater resources sheet also indicates the type of groundwater aquifer (karstic, jointed or unconsolidated rock), the most important springs and groundwater catchments as well as hydrodynamic information about the infiltration and exfiltration areas. The two sheets were originally published as Tables 8.6 and 8.7 of the Hydrological Atlas of Switzerland HADES (FOEN, 2004 and 2007). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-hydrogeologische_karte-grundwasservorkommen image/png Time current current 2056_26 Groundwater Vulnerability 500 The Federal Office for the Environment (FOEN) is the body within the Swiss Geological Survey responsible for hydrogeology. The 1:500,000 Hydrogeological Map forms part of the GeoMaps series (GK500) and is divided into two sheets. The first (GK500-Hydro) represents the various groundwater resources in Switzerland and their productivity. The second (GK500-Hydro_Vul) shows the vulnerability of the groundwater resources to the risk of pollution. The principle of vulnerability is an important element of preventive groundwater protection. The two sheets were originally published as Tables 8.6 and 8.7 of the Hydrological Atlas of Switzerland HADES (FOEN, 2004 and 2007). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-hydrogeologische_karte-grundwasservulnerabilitaet image/png Time current current 2056_26 Thickness of unconsolidated deposits The national thickness model of unconsolidated deposits describes the thickness of the unconsolidated deposits in meters with a 10 x 10 m raster cell size. This product is derived from the bedrock elevation model. The subtraction of the bedrock surface from the base terrain model provides the thickness of the unconsolidated deposits. The base terrain is a combination of <a href="https://www.swisstopo.admin.ch/en/height-model-swissalti3d" target="_blank">swissALTI3D</a>, <a href="https://www.swisstopo.admin.ch/en/height-model-swissbathy3d" target="_blank">swissBATHY3D</a> and the <a href="https://www.glamos.ch/en/#/A50d-01" target="_blank">GLAMOS</a> glacier base. The thickness model of unconsolidated deposits is part of the larger swissBEDROCK dataset, which also includes the <a href="https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-felsoberflaeche_hoehenmodell&topic=geol" target="_blank">bedrock elevation model (BEM)</a>, uncertainty estimates, and changes compared to previous versions. The full swissBEDROCK dataset can be <a href="https://www.swisstopo.admin.ch/en/swissbedrock-en" target="_blank">downloaded here</a> or viewed and queried on <a href="https://viewer.swissgeol.ch/?lon=8.41012&lat=46.83165&elevation=425641&heading=0&pitch=-90&map=ch.swisstopo.pixelkarte-grau&map_transparency=0.00&layers=ch.swisstopo.swissbedrock-geotiff&layers_visibility=true&layers_transparency=0.50&layers_timestamp=" target="_blank">viewer.swissgeol.ch</a> on a cell basis. The model consists of data provided by third parties and parts that have been modelled by the Federal Office of Topography. A <a href="https://www.geocat.ch/geonetwork/srv/api/records/f7836146-3f9a-4807-9011-618800409236/attachments/swissBEDROCK_ReleaseNotes_R1.pdf?approved=true" target="_blank">release notes</a> file is provided detailing the origin and characteristics of the various model components. More information on the methodological overview and workflow can be found in the <a href="https://www.geocat.ch/geonetwork/srv/api/records/f7836146-3f9a-4807-9011-618800409236/attachments/swissBEDROCK_model_description.pdf?approved=true" target="_blank">model description</a>. 3D models represent a simplification of the real geological settings. The user acknowledges that the authors have taken every reasonable effort to ensure that information contained in the presented 3D geological model is as accurate as possible. There is no guarantee that the given data related to a definite point in the subsurface is accurate. Under no circumstances will the publisher be liable for any loss or damage of a material or immaterial nature arising from access to, use or non-use of published information, or from misuse or technical breakdown. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-lockergestein_maechtigkeitsmodell image/png Time current current 2056_26 Reflection seismic This map shows the location of seismic reflection data acquired in Switzerland for the exploration of the geological subsurface. The majority of these are two-dimensional measurements (2D) along the profile traces shown. Three-dimensional measurements (3D) cover the areas within the shown perimeters. Seismic lines and surveys can be located by entering their name in the search field. Downloading is possible for many of the processed seismic datasets that are publicly available. For more detailed information on other seismic data (raw, non-public etc.), please contact the rights holder directly. This map is continuously updated and does not claim to be complete.<br><br> References: <ul> <li>Ebert, A., Genoni, O. & Häring, M. (2013): Structural geology of Central Switzerland – results of seismic campaign in 2011 in cantons Nid- and Obwalden. Swiss Bull. Angew. Geol., 18/1, 51-59.</li> <li>Fabbri S. et al. (2021): Active Faulting in Lake Constance (Austria, Germany, Switzerland) Unraveled by Multi-Vintage Reflection Seismic Data. Front. Earth Sci. 9:670532.</li> <li>Gruber, M. (2017): Structural investigations of the western Swiss Molasse Basin – From 2D seismic interpretation to a 3D geological model. – PhD Thesis Univ. Fribourg.</li> <li>Nagra (1993): Résultats des recherches effectuées sur le site potentiel du Bois de la Glaive (Commune d'Ollon, VD): Recherches sur l'aptitude des sites à accueillir un dépot final de déchets faiblement et moyennement radioactifs à vie courte. NTB 93-29.</li> <li>Nagra (1997): Geosynthese Wellenberg 1996 – Ergebnisse der Untersuchungsphasen I und II. Nagra Tech. Ber. NTB 96-01.</li> <li>Meier, B. P. (2010): Ergänzende Interpretation reflexionsseismischer Linien zwischen dem östlichen und westlichen Molassebecken. Gebiete Waadtland Nord, Fribourg, Berner Seeland und Jurasüdfuss zwischen Biel und Oensingen. – Nagra Arbeitsber. NAB 10-40.</li> <li>Roth, P., Naef, H. & Schnellmann, M. (2010): Kompilation und Interpretation der Reflexionsseismik im Tafeljura und Molassebecken der Zentral- und Nordostschweiz. – Nagra Arbeitsber. NAB 10-39.</li> <li>Sommaruga, A., Eichenberger, U. & Marillier, F. (2012): Seismic Atlas of the Swiss Molasse Basin. – Matér. Géol. Suisse, Géophys. 44.</li> </ul> 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-reflexionsseismik image/png Time current current 2056_23 Brickworks raw materials This dataset shows the brickwork production and mining sites in operation and decommissioned of the brickworks in Switzerland. Clay, marl and also sandstone are the most important raw materials for the brick, roof tile and ceramics industries. An overview of the occurrences of these raw materials is shown at a scale of 1:500'000. For detailed geological information at a scale of 1:25'000, please refer to the GeoCover dataset. In case it is desired to develop a mining site, it is essential to conduct a detailed geological investigation on the location of interest. The perimeters of the active mining sites are to be considered as indications. They are based on the Topographic Landscape Model (TLM) and SWISSIMAGE aerial photographs. For detailed information on mining activities, please contact the relevant cantonal authorities. This map is periodically updated and does not claim to be exhaustive. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-rohstoffe-ziegel_abbau image/png Time current current 2056_26 Division GSK Raster The Special Geological Maps (GSK) are available at scales between 1:25,000 and 1:100,000. They are defined on the basis of geographical or thematic perspectives. They provide information about regional geological conditions and highlight selected subjects. They represent an important tool for geologists, engineers, planners, public authorities, scientists and schools. Some of the sheets are not currently available. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-spezialkarten_schweiz.metadata image/png Time current current 2056_26 Tectonics 500 The Tectonic Map of Switzerland (TK500) depicts the tectonic units and structural elements of the entire Swiss territory and neighboring regions. These units group together rocks with a common geodynamic history and are separated from one another by tectonic discontinuities. Within some units, a distinction has been made between crystalline basement and one or more successive series of sedimentary cover. Units are grouped into structural domains separated by major tectonic discontinuities. Units and subunits can be located by entering their name in the search field, like some structural lines (not all have names). The current map (4th edition, 2024) is accompanied by an <a href="https://www.geocat.ch/geonetwork/srv/api/records/a4cdef47-505e-41ab-b6a7-ad5b92d80e41/attachments/TK500-ERL.pdf?approved=true" target="_blank">explanatory note</a> providing a brief definition of each unit. A first enclosure contains three NW–SE to N–S <a href="https://www.geocat.ch/geonetwork/srv/api/records/a4cdef47-505e-41ab-b6a7-ad5b92d80e41/attachments/TK500_Plate-II_Profile.pdf?approved=true" target="_blank">tectonic cross-sections</a> through the entire map area, which also show the major structures at depth. A second enclosure contains a series of <a href="https://www.geocat.ch/geonetwork/srv/api/records/a4cdef47-505e-41ab-b6a7-ad5b92d80e41/attachments/TK500_Plate-III_Paleogeography.pdf?approved=true" target="_blank">paleogeographic diagrams</a>, from the Middle Jurassic (170 Ma) to the present day, showing the evolution of spatial relationships between the different tectonic domains covered by the map. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-tektonische_karte image/png Time current current 2056_26 Thermal waters This dataset contains an overview of groundwater in Switzerland that have been heated by geothermal energy. The increased temperature of thermal groundwater results from the interaction with the surrounding rock as it circulates to greater depths in the earth's crust. The temperature of non-deep, non-thermal groundwater, on the other hand, is mainly influenced by the atmosphere and exhibits seasonal fluctuations over the course of a year. In this dataset, groundwater is considered to be thermal if the water temperature is constantly more than 5°C above the local average annual air temperature.The dataset is subdivided into three main categories, which are based on the type of water discharge/inflow: 1) spring water, 2) tunnel water and 3) groundwater accessed by drilling. In the course of circulation through the geological subsurface, groundwater takes on a characteristic chemical signature through water-rock interactions. This signature is represented here by the chemical water type, degree of mineralization, pH and electrical conductivity. Some of the measured values may be subject to greater uncertainties as a result of contamination with technical waters (e.g. drilling fluids) and/or the atmosphere (e.g. gas exchange) or methodological causes. The significance and uncertainties of the individual attributes are explained in more detail in the <a href="https://www.geocat.ch/geonetwork/srv/api/records/04fb057a-4c46-4d6d-8a64-8003df749762/attachments/Objektkatalog_Layer_Thermale_W%C3%A4sser_v3.2_Juni2025.pdf?approved=true" target="_blank">object catalog</a>. The dataset does not claim to be complete. For information on the individual measured values, please contact the data provider. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.geologie-thermale_waesser image/png Time current current 2056_25 Slope classes over 30° Derivate representation of the digital terrain model swissALTI3D and models from France, Italy, Austria and Germany, which allows for the identification of inclinations over 30°. According to the recommendation of the Institute for Snow and Avalanche Research SLF the slopes are categorized into 4 classes. They were calculated from a combined digital terrain with a resolution of 10m made up from swissALTI3D for Switzerland and Liechtenstein, RGE ALTI for France, TINITALY for Italy, DGM10 for Austria, DGM1 for Bavaria and EU-DEM for Baden-Württemberg. The precision of the inclination values in the transistional area between the different base models cannot be guaranteed. Liability claims for the representation of gradients over 30° cannot be asserted. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.hangneigung-ueber_30 image/png Time current current 2056_25 Dufour Map First edition The first official map of Switzerland. First issued between 1844 and 1864, updated up to 1939. 25 sheets. Map format: 70 x 48 cm = 3360 km2. Representation of the terrain: Shaded hachures. Form of reproduction: Copperplate engraving. Printing process: Gravure printing (also planographic printing from 1905). Number of colours: 1 (2 from 1908 and 3 from 1938). Untrue equal-area conic projection. Ellipsoid: Schmidt 1828. Starting altitude: (Repère Pierre du Niton 376.2 metres above sea level). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.hiks-dufour image/png Time current current 2056_26 Siegfried Map The Topographic Atlas of Switzerland was published between 1870 and 1926, initially under the direction of Colonel Hermann Siegfried. It was the first detailed overall map of Switzerland, at a scale of 1:25,000 for the Central Plateau, the Jura, and southern Ticino, and at a scale of 1:50,000 for the Alps. In total, taking into account the periodic updates carried out until 1949, more than 4,000 revised sheets were published. Two different techniques were used for the initial production: copper engraving for the 462 sheets at 1:25,000 and lithography for the 142 sheets at 1:50,000. With the historical data visualization tool – called “Journey through Time” – all editions of the map can be viewed interactively, also with the layer "Division Siegfried Map 25/50 Raster". 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.hiks-siegfried image/png Time 1949 1949 1948 1947 1946 1945 1944 1943 1942 1941 1940 1939 1938 1937 1936 1935 1934 1933 1932 1931 1930 1929 1928 1927 1926 1925 1924 1923 1922 1921 1920 1919 1918 1917 1916 1915 1914 1913 1912 1911 1910 1909 1908 1907 1906 1905 1904 1903 1902 1901 1900 1899 1898 1897 1896 1895 1894 1893 1892 1891 1890 1889 1888 1887 1886 1885 1884 1883 1882 1881 1880 1879 1878 1877 1876 1875 1874 1873 1872 1871 1870 2056_25 Territorial border of Switzerland (national border) The “Territorial limit NS” data set contains the national border that delimits the territory of the Swiss Confederation from neighboring countries and is managed by the national survey. It also forms the outer boundary of cantons, districts, municipalities, and properties located on the edge of the country. The national border must be represented in official surveying products and is therefore made available via a service. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.hoheitsgrenze-landesvermessung image/png Time current current 2056_26 Border points of the national border The “Territorial limit points NS” dataset contains the points marking the vertices of the national border (Territorial limit NS) and is managed by the national survey. These points delimit both the territory of the Swiss Confederation with respect to foreign countries and the external boundaries of Swiss cantons, districts, municipalities, and properties. Managed in the official survey as boundary points (geodata model DMAV_Grundstuecke_V1_0), they are made available as a service. The data are provided without elevation information. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.hoheitsgrenzpunkte-landesvermessung image/png Time current current 2056_26 Slope over 30° Derivate representation of the digital terrain model swissALTI3D and models from France, Italy, Austria and Germany, which allows for the identification of inclinations over 30°. They were calculated from a combined digital terrain with a resolution of 10m made up from swissALTI3D for Switzerland and Liechtenstein, RGE ALTI for France, TINITALY for Italy, DGM10 for Austria, DGM1 for Bavaria and EU-DEM for Baden-Württemberg. The precision of the inclination values in the transistional area between the two base models cannot be guaranteed. Liability claims for the representation of gradients over 30° cannot be asserted. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo-karto.hangneigung image/png Time current current 2056_25 Snowshoe routes The digital snowshoe routes contain specific information for snow sports in Switzerland and adjacent parts of its neighbouring countries. The data set is produced in collaboration with the Swiss Alpine Club SAC. The snowshoe routes are represented as reliably as possible, checked by the cantonal hunting authorities with regard to wildlife compatibility, and updated annually. However, the actual route in the terrain depends on the current conditions. Neither the Swiss Alpine Club SAC nor the Federal Office of Topography can accept liability for the accuracy, completeness or up-to-dateness of the route information. No liability whatsoever is accepted for accidents of any kind that arise from the use of these route data. Detailed tour planning is highly recommended. Further information on the routes can be found on the SAC route portal or the SAC-CAS app: <a href="https://www.sac-cas.ch/en/" target="_blank">https://www.sac-cas.ch/en/</a>. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo-karto.schneeschuhrouten image/png Time current current 2056_25 Ski routes The digital ski routes contain specific information for snow sports in Switzerland and adjacent parts of its neighbouring countries. The data set is produced in collaboration with the Swiss Alpine Club SAC. The ski routes are represented as reliably as possible, checked by the cantonal hunting authorities with regard to wildlife compatibility, and updated annually. However, the actual route in the terrain depends on the current conditions. Neither the Swiss Alpine Club SAC nor the Federal Office of Topography can accept liability for the accuracy, completeness or up-to-dateness of the route information. No liability whatsoever is accepted for accidents of any kind that arise from the use of these route data. Detailed tour planning is highly recommended. Further information on the routes can be found on the SAC route portal or the SAC-CAS app: <a href="https://www.sac-cas.ch/en/" target="_blank">https://www.sac-cas.ch/en/</a>. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo-karto.skitouren image/png Time current current 2056_25 LV95 Coordinate changes The coordinate changes between the old frame of reference LV03 and the new one LV95, respectively the deformations from MN03, are represented in relation to Zimmerwald (BE): the greatest coordinate change of about 1.5 m appear in the south Ticino and in Poschiavo valley (GR). The smallest differences are around Bern, given that both LV03 and LV95 reference frame have their origin in the old observatory of Bern. The differences in false easting and northing (LV03: 600,00 / 200,000 and LV95: 2,600,000 / 1,200,000) have been eliminated for the graphical representation. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.koordinatenaenderung image/png Time current current 2056_26 National Map 1:10'000 (color) The 1:10,000 national map is swisstopo's largest scale topographic map. It stands out for its detailed representation of traffic, settlements, terrain and vegetation as well as its thorough labelling. The contents are supplemented by rock hachures and relief. The perimeter of the map covers the national territory of both Switzerland and the Principality of Liechtenstein. Updates are made every year based on the latest version of swisstopo's topographic landscape model (TLM). The 1:10,000 national map is produced in digital form in colour and greyscale. Both of these versions of the map form the basis for Switzerland's geo data viewer (map.geo.admin.ch) in the first four zoom levels. The 1:10,000 map is also available as “Swiss Map Raster 10” in the form of geo-referenced TIF data and as "Swiss Map Vector 10" for individual sections of the perimeter. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.landeskarte-farbe-10 image/png Time current current 2056_27 National Map 1:10'000 (grey) The 1:10,000 national map is swisstopo's largest scale topographic map. It stands out for its detailed representation of traffic, settlements, terrain and vegetation as well as its thorough labelling. The contents are supplemented by rock hachures and relief. The perimeter of the map covers the national territory of both Switzerland and the Principality of Liechtenstein. Updates are made every year based on the latest version of swisstopo's topographic landscape model (TLM). The 1:10,000 national map is produced in digital form in colour and greyscale. Both of these versions of the map form the basis for Switzerland's geo data viewer (map.geo.admin.ch) in the first four zoom levels. The 1:10,000 map is also available as “Swiss Map Raster 10” in the form of geo-referenced TIF data and as "Swiss Map Vector 10" for individual sections of the perimeter. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.landeskarte-grau-10 image/png Time current current 2056_27 Light base map relief This relief shading is a derivative of the swissALTI3D digital elevation model and elements of the digital map model. It illustrates the surface relief of Switzerland and the Principality of Liechtenstein. This variant was created for the "Light Base Map". It combines elements from the 1:25 000 National Map (the original hand-made relief, the yellow colouring, the terrain elements of rocks, scree slopes and glaciers) and the height model swissALTI3D . The content varies according to the zoom levels. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.leichte-basiskarte_reliefschattierung image/png Time current current 2056_27 Deviations of the vertical The deflection of the vertical is the angle between the direction of the plumbline and the perpendicular to the reference ellipsoid. In Switzerland, this angle can reach amounts of up to 1 minute of arc and must be considered for correcting all precise geodetic measurements. The vertical deflection is usually given in a South-North (Xi) and a West-East component (Eta). The vertical deflection is as well a valuable information for the geoid determination.We can observe vertical deflections by comparing astronomical coordinates (longitudes, latitudes) with geodetic coordinates determined e.g. by GPS.The accuracy of a measured deflection of the vertical by modern digital zenith cameras are in the order of 0.1 arc seconds. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.lotabweichungen image/png Time current current 2056_26 Aerial images third parties Within the framework of various projects of public and private clients, aerial images of Switzerland are collected and offered by third parties. These aerial images can be reported to swisstopo and are published in the " Aerial images third parties" layer. The layer contains only the information supplied to swisstopo and makes no claim to completeness. All aerial photographs are presented in the form of the image centre coordinates and the ground segment covered by the aerial image, as well as the attributed meta-information. The aerial images can be ordered or obtained from the respective third party. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.lubis-luftbilder-dritte-firmen image/png Time 99991231 99991231 20161231 20111231 20101231 20091231 20081231 20071231 20061231 20051231 20041231 20031231 20021231 20011231 20001231 19991231 19981231 19971231 19961231 19951231 19941231 19931231 19921231 19911231 19901231 19891231 19881231 19871231 19861231 19851231 19841231 19831231 19821231 19811231 19801231 19791231 19781231 19771231 19761231 19751231 19741231 19731231 19721231 19711231 19701231 19691231 19681231 19671231 19661231 19651231 19641231 19631231 19621231 19611231 19601231 19591231 19581231 19571231 19561231 19551231 19541231 19531231 19521231 19511231 19501231 19491231 19481231 19471231 19461231 19451231 19431231 19391231 19381231 19371231 19361231 19351231 19341231 19331231 19321231 19311231 19301231 19291231 19281231 19271231 19261231 19251231 19241231 19231231 19221231 19211231 19201231 19191231 19181231 2056_26 Aerial images cantons In the context of varying projects aerial images are collected and offered on behalf of the cantons. These aerial images can be reported to swisstopo and are published in the " Aerial images cantons" layer. The layer contains only the information supplied to swisstopo and makes no claim to completeness. All these aerial images are represented by the center-image coordinates, the image footprint as well as the attributed metadata. The aerial images can be ordered from the respective cantons. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.lubis-luftbilder-dritte-kantone image/png Time 99991231 99991231 20251231 20231231 20221231 20201231 20191231 20181231 20171231 20161231 20151231 20141231 20131231 20121231 20111231 20091231 20081231 20001231 19991231 19981231 19971231 19961231 19951231 19941231 19931231 19921231 19911231 19891231 19881231 19871231 19861231 19851231 19841231 19811231 19671231 19661231 19651231 19641231 19631231 19621231 2056_26 Aerial Images swisstopo color The aerial imagery catalogue of swisstopo includes several hundred thousand analogue aerial photographs (in colour, infrared, or black and white). They are represented by the centre-image coordinates, the image footprint, as well as by their metadata (including orientation elements, if available). If already digitised, the images can be downloaded and viewed in full resolution. Missing scans of the images are gradually being added and made directly available. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.lubis-luftbilder_farbe image/png Time 99991231 99991231 20101231 20091231 20081231 20071231 20061231 20051231 20041231 20031231 20021231 20011231 20001231 19991231 19981231 19971231 19961231 19951231 19941231 19931231 19921231 19911231 19901231 19891231 19881231 19871231 19861231 19851231 19841231 19831231 19821231 19811231 19801231 19791231 19781231 19771231 19761231 19751231 19741231 19731231 19721231 19711231 19701231 19691231 19681231 19671231 19661231 19651231 19641231 19631231 19621231 19611231 19601231 19591231 19581231 19571231 19561231 19551231 19541231 19531231 19521231 19511231 19501231 19491231 19471231 19461231 19451231 19421231 19371231 19341231 19291231 2056_26 Aerial Images swisstopo IR The aerial imagery catalogue of swisstopo includes several hundred thousand analogue aerial photographs (in colour, infrared, or black and white). They are represented by the centre-image coordinates, the image footprint, as well as by their metadata (including orientation elements, if available). If already digitised, the images can be downloaded and viewed in full resolution. Missing scans of the images are gradually being added and made directly available.As part of the Sanasilva programme to record the health of forests, lines were engraved directly onto some original aerial photographs. According to the commissioning party at the time, these markings were used in the evaluation to distinguish between different tree populations – i.e. populations of the same age and/or with the same species composition. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.lubis-luftbilder_infrarot image/png Time 99991231 99991231 20091231 20081231 20071231 20061231 20051231 20041231 20031231 20021231 20011231 20001231 19991231 19981231 19971231 19961231 19951231 19941231 19931231 19921231 19911231 19901231 19891231 19881231 19871231 19861231 19851231 19841231 19831231 19811231 19771231 19581231 19511231 2056_26 Aerial Images swisstopo b/w The aerial imagery catalogue of swisstopo includes several hundred thousand analogue aerial photographs (in colour, infrared, or black and white). They are represented by the centre-image coordinates, the image footprint, as well as by their metadata (including orientation elements, if available). If already digitised, the images can be downloaded and viewed in full resolution. Missing scans of the images are gradually being added and made directly available. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.lubis-luftbilder_schwarzweiss image/png Time 99991231 99991231 20101231 20091231 20081231 20071231 20061231 20051231 20041231 20031231 20021231 20011231 20001231 19991231 19981231 19971231 19961231 19951231 19941231 19931231 19921231 19911231 19901231 19891231 19881231 19871231 19861231 19851231 19841231 19831231 19821231 19811231 19801231 19791231 19781231 19771231 19761231 19751231 19741231 19731231 19721231 19711231 19701231 19691231 19681231 19671231 19661231 19651231 19641231 19631231 19621231 19611231 19601231 19591231 19581231 19571231 19561231 19551231 19541231 19531231 19521231 19511231 19501231 19491231 19481231 19471231 19461231 19451231 19441231 19431231 19421231 19411231 19401231 19391231 19381231 19371231 19361231 19351231 19341231 19331231 19321231 19311231 19301231 19291231 19281231 19271231 19261231 19211231 2056_26 Terrestrial images swisstopo The imagery catalogue of swisstopo comprises around 57'000 scanned analogue black and white terrestrial images. They are represented by the centre-image coordinates, the image footprint as well as the attributed metadata. These images can also be downloaded, as can the corresponding orientation elements, where available. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.lubis-terrestrische_aufnahmen image/png Time 9999 9999 1961 1947 1945 1944 1943 1942 1941 1940 1939 1938 1937 1936 1935 1934 1933 1932 1931 1930 1929 1928 1927 1926 1925 1924 1923 1922 1921 1920 1919 1918 1917 1916 1915 2056_26 National Maps (color) swisstopo produces national maps in the scales 1:10'000 up to 1:1 Million. The layer National maps (color) combines the different maps and shows the best fitted map for each zoom level. The layer National maps (color) is used as base map in the swiss federal geoportal. It is also available as WMS and WMTS geoservices. Once a year, a copy of the WMTS tile pyramid is made available for download in JPEG format and in the Web Mercator coordinate system (EPSG:3857) up to zoom level/tile matrix 18 (0.5 m resolution). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.pixelkarte-farbe image/jpeg Time current current 2056_27 National Map 1:1 million The National Map 1:1 million is a small-scale topographic map giving an overview of Central Europe: Switzerland and its neighbours from Lyons to Salzburg and from Strasbourg to Genoa on a handy overview map (Paris, Vienna, Frankfurt and Marseille on one sheet). The National Map 1:1 million is published in analogue format as a printed map and in digital format as the Swiss Map Raster and Swiss Map Vector. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.pixelkarte-farbe-pk1000.noscale image/jpeg Time current current 2056_26 National Map 1:100'000 The National Map 1:100,000 is a supra-regional topographic map of Switzerland. The map perimeter is divided into 23 individual sheets. There are composites of specified regions. The National Map 1:100,000 is published in analogue format as a printed map and in digital format as the Swiss Map Raster. The update is done by sector. The different statuses of updates are shown in the layer "<a href="https://map.geo.admin.ch/?lang=en&topic=ech&bgLayer=ch.swisstopo.pixelkarte-farbe&layers=ch.swisstopo.pixelkarte-pk100.metadata" target="_blank">Division national map 100 Raster</a>". 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.pixelkarte-farbe-pk100.noscale image/jpeg Time current current 2056_26 National Map 1:200'000 The National Map 1:200,000 is a topographic map giving an overview of Switzerland. The map perimeter is divided into 4 (printed map) or 16 (Swiss Map Raster) sheets. The National Map 1:200,000 is published in analogue format as a printed map and in digital format as a Swiss Map Raster. The update is done by sector. The different statuses of updates are shown in the layer "<a href=" https://map.geo.admin.ch/?lang=en&topic=ech&bgLayer=ch.swisstopo.pixelkarte-farbe&layers=ch.swisstopo.pixelkarte-pk200.metadata" target="_blank">Division national map 200 Raster</a>". 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.pixelkarte-farbe-pk200.noscale image/jpeg Time current current 2056_26 National Map 1:25'000 The National Map 1:25,000 is a topographic map of Switzerland representing the areas of traffic and settlements, the hydrography, the topography and the vegetation in great detail. The update is done by sector. The current status of the map is displayed by default in the federal map viewer. With the ‘journey through time' function, all available data statuses since 1952 can be displayed. The detailed statuses of updates are shown in the layer "<a href="https://map.geo.admin.ch/?lang=en&topic=ech&bgLayer=ch.swisstopo.pixelkarte-farbe&layers=ch.swisstopo.pixelkarte-pk25.metadata" target="_blank">Division national map 25 Raster</a>". The current National Map 1:25,000 is published in analogue format as a printed map and in digital format as the Swiss Map Raster or Swiss Map Vector. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.pixelkarte-farbe-pk25.noscale image/jpeg image/png Time current current 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 1980 1979 1978 1977 1976 1975 1974 1973 1972 1971 1970 1969 1968 1967 1966 1965 1964 1963 1962 1961 1960 1959 1958 1957 1956 1955 1954 1953 1952 2056_26 National Map 1:500'000 The National Map 1:500,000 is a topographic map giving an overview of Switzerland. The National Map 1:500,000 is published in analogue format as a printed map and in digital format as the Swiss Map Raster and Swiss Map Vector. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.pixelkarte-farbe-pk500.noscale image/jpeg Time current current 2056_26 National Map 1:50'000 The National Map 1:50,000 is a topographic map of Switzerland representing the areas of traffic and settlements, the topography and the vegetation in detail. The map perimeter is divided into 78 individual sheets. There are composites of specified regions. The National Map 1:50,000 is published in analogue format as a printed map and in digital format as the Swiss Map Raster. The update is done by sector. The different statuses of updates are shown in the layer "<a href="https://map.geo.admin.ch/?lang=en&topic=ech&bgLayer=ch.swisstopo.pixelkarte-farbe&layers=ch.swisstopo.pixelkarte-pk50.metadata" target="_blank">Division national map 50 Raster</a>". 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.pixelkarte-farbe-pk50.noscale image/jpeg image/png Time current current 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 1980 1979 1978 1977 1976 1975 1974 1973 1972 1971 1970 1969 1968 1967 1966 1965 1964 1963 1962 1961 1960 1959 1958 1957 1956 1955 1954 1953 1952 1951 1950 1949 1948 1947 1946 1945 1944 1943 1942 1941 1940 1939 1938 2056_26 Winter national map The winter national map is a derivation of the topographical national maps of Switzerland with detailed depictions of traffic, settlement areas, terrain, bodies of water and vegetation. Switzerland is comprehensively mapped in a winter representation at a scale of 1:10'000 to 1:1 million. The winter national map is only available in a digital format (Swiss Map Raster, API, WMTS) and is updated once a year.. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.pixelkarte-farbe-winter image/jpeg Time current current 2056_27 National Maps (grey) swisstopo produces national maps in the scales 1:10'000 up to 1:1 Million. The layer National maps (grey) combines the different maps and shows the best fitted map for each zoom level. The layer National maps (grey) is used as base map in the swiss federal geoportal. It is also available as WMS and WMTS geoservices. Once a year, a copy of the WMTS tile pyramid is made available for download in JPEG format and in the Web Mercator coordinate system (EPSG:3857) up to zoom level/tile matrix 18 (0.5 m resolution). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.pixelkarte-grau image/jpeg Time current current 2056_27 National Map 1:1 million (grey) The National Map 1:1 million (grey) is a small-scale topographic map giving an overview of Central Europe: Switzerland and its neighbours from Lyons to Salzburg and from Strasbourg to Genoa on a handy overview map (Paris, Vienna, Frankfurt and Marseille on one sheet). The National Map 1:1 million (grey) is published in digital format as the Swiss Map Raster and is also available as WMS geoservice. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.pixelkarte-grau-pk1000.noscale image/jpeg Time current current 2056_26 Road Map 1:200'000 On the Road Map of Switzerland 1:200'000 is the traffic network highlighted and information for the motor vehicle driver is added (names and numbers of highways and their accesses, traffic regulations, transportation of cars by railway, car ferries, camp sites). The base map is based on the National Map 1:200'000. The map content is updated periodically in a cycle of 2 years. The map is published in analogue format as a printed map and in digital format as a pixel map. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.strassenkarte-200 image/png Time current current 2056_23 swissALTI3D multidirectional hillshade The hillshade is derived from the digital elevation model swissALTI3D. It illustrates the surface relief of Switzerland and the Principality of Liechtenstein. A hillshade is derived from the elevation model by calculating the exposure of the surface to sunlight at a certain or several angles. The swissALTI3D hillshade uses a multidirectional method that combines light from 6 different sources (sun's positions). The average sun's position is located to the northwest. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissalti3d-reliefschattierung image/png Time current current 2056_26 swissALTI3D monodirectional hillshade The hillshade is derived from the digital elevation model swissALTI3D. It illustrates the surface relief of Switzerland and the Principality of Liechtenstein. A hillshade is derived from the elevation model by calculating the exposure of the surface to sunlight at a certain or several angles. The monodirectional swissALTI3D hillshade is generated using a northwestern sun position as light source. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissalti3d-reliefschattierung_monodirektional image/png Time current current 2056_26 swissALTIRegio monodirectional hillshade The hillshade is derived from the digital elevation model swissALTIRegio. It illustrates the surface relief of Switzerland, the Principality of Liechtenstein and the neighbouring regions. A hillshade is derived from the elevation model by calculating the exposure of the surface to sunlight at a certain or several angles. The swissALTIRegio is generated using a northwestern sun position as light source. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissaltiregio-reliefschattierung_monodirektional image/png Time current current 2056_26 swissALTIRegio multidirectional hillshade The hillshade is derived from the digital elevation model swissALTIRegio. It illustrates the surface relief of Switzerland, the Principality of Liechtenstein and the neighbouring regions. A hillshade is derived from the elevation model by calculating the exposure of the surface to sunlight at a certain or several angles. The swissALTIRegio hillshade uses a multidirectional method that combines light from 6 different sources (sun's positions). The average sun's position is located to the northwest. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissaltiregio-reliefschattierung_multidirektional image/png Time current current 2056_26 swissBATHY3D Hillshade This representation is derived from the swissBATHY3D data and allows the visualization of the depth and lakebed relief of Swiss lakes. A hillshade is derived from the elevation model by calculating the exposure of the surface to sunlight at a certain angle. The calculated angle of the sun for the swissBATHY3D Hillshade is at azimuth 315° (northwest), at a vertical angle of 45°. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissbathy3d-reliefschattierung image/png Time current current 2056_25 District boundaries swissBOUNDARIES3D district boundaries constitute the administrative borders of the districts of the Swiss cantons. A district is an administrative subdivision positioned between canton and commune. The cantons of Geneva, Uri, Obwalden, Nidwalden, Glarus, Zug, Basel-Stadt and Appenzell Innerrhoden are not divided into districts. swissBOUNDARIES district boundaries is derived from the parent dataset swissBOUNDARIES3D. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissboundaries3d-bezirk-flaeche.fill image/png Time current current 2056_26 Municipal boundaries The layer municipal boundaries constitute the administrative borders of the municipalities of Switzerland and the principality of Liechtenstein. The municipality is the smallest administrative unit. By default, the current status of municipal boundaries is displayed. With the historical data representation tool - called " journey through time - the evolution of municipal boundaries from 1850 to the present day is interactive. When a year prior to the current status is selected, the status of municipal boundaries on the first of January is displayed. For the current status, mergers of municipalities during the year are included. Two data sources have been used to generate this layer: "Municipal boundaries: time series since 1850s" from the Swiss Federal Statistical Office for the period 1850 - 2015 and swissBOUNDARIES3D from the Swiss Federal Office of Topography for the period 2016 to the present. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissboundaries3d-gemeinde-flaeche.fill image/png Time current current 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 1980 1979 1978 1977 1976 1975 1974 1973 1972 1971 1970 1969 1968 1967 1966 1965 1964 1963 1962 1961 1960 1959 1958 1957 1956 1955 1954 1953 1952 1951 1950 1949 1948 1947 1946 1945 1944 1943 1942 1941 1940 1939 1938 1937 1936 1935 1934 1933 1932 1931 1930 1929 1928 1927 1926 1925 1924 1923 1922 1921 1920 1919 1918 1917 1916 1915 1914 1913 1912 1911 1910 1909 1908 1907 1906 1905 1904 1903 1902 1901 1900 1899 1898 1897 1896 1895 1894 1893 1892 1891 1890 1889 1888 1887 1886 1885 1884 1883 1882 1881 1880 1879 1878 1877 1876 1875 1874 1873 1872 1871 1870 1869 1868 1867 1866 1865 1864 1863 1862 1861 1860 1859 1858 1857 1856 1855 1854 1853 1852 1851 1850 2056_26 Cantonal boundaries swissBOUNDARIES3D cantonal boundaries constitute the administrative borders of the Swiss cantons. The Swiss Confederation consists of 26 cantons which have the status of constituent states.swissBOUNDARIES3D cantonal boundaries is derived from the parent dataset swissBOUNDARIES3D. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissboundaries3d-kanton-flaeche.fill image/png Time current current 2056_26 National boundaries swissBOUNDARIES national boundaries constitute the borders of Switzerland and the principality of Liechtenstein. swissBOUNDARIES3D national boundaries is a derivate of the parent dataset swissBOUNDARIES3D. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissboundaries3d-land-flaeche.fill image/png Time current current 2056_26 SWISSIMAGE Background The Orthophotomosaic SWISSIMAGE (Background) is a composition of digital color aerial images of Switzerland and surroundings. The orthophotos of the neighboring countries come from SPOT 5 satellite images (Airbus Defence and Space) taken in 2004 and 2005 with a ground resolution of 5 m. An orthophoto is an aerial image in which the distortions created by the camera and the relief are corrected. The layer is used as base map in the swiss federal geoportal. It is also available as WMS and WMTS geoservices. Once a year, a copy of the WMTS tile pyramid is made available for download in JPEG format and in the Web Mercator coordinate system (EPSG:3857) up to zoom level/tile matrix 18 (0.5 m resolution). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissimage image/jpeg Time current current 2056_28 SWISSIMAGE Journey through time The Orthophotomosaic SWISSIMAGE is a composition of analogic and digital, black-and-white and colour aerial images. An orthophoto is an aerial image in which the distortions created by the camera and the relief are corrected. The default displays the current state of the product SWISSIMAGE. The representation of data time stamps – called «journey through time» - allows to interactively explore the evolution of the landscape from 1926 to the present day based on these images. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissimage-product image/jpeg image/png Time current current 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 1980 1979 1978 1977 1976 1975 1974 1973 1972 1971 1970 1969 1968 1967 1966 1965 1964 1963 1962 1961 1960 1959 1958 1957 1956 1955 1954 1953 1952 1951 1950 1949 1948 1947 1946 1945 1944 1943 1942 1941 1940 1939 1938 1937 1936 1935 1934 1933 1932 1931 1930 1929 1927 1926 2056_28 SWISSIMAGE HIST 1946 The orthophoto mosaic SWISSIMAGE HIST 1946 is a composition of historical black and white aerial photographs from 1946 («US flight mission») over the whole of Switzerland with a ground resolution of 1 m. An orthophoto is an aerial image in which the distortions created by the camera and the relief are corrected. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissimage-product_1946 image/jpeg Time 1946 1946 2056_25 Tiling SWISSIMAGE Journey thru time SWISSIMAGE is available from 1926 to the present. The tile number and the flight year is given for all tiles and for every year. At the edges of the surveying flight blocks, the tiles may not consist of pictures from the same year. As a result, these tiles contain pixels from different flight years. In these cases, the flight year that provided the majority of the pixels (more than 75% of all pixels) is given. The representation of data time stamps – called «journey through time» - allows to interactively explore the evolution of the SWISSIMAGE tiling from 1926 to the present. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissimage-product.metadata image/png Time 2025 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996 1995 1994 1993 1992 1991 1990 1989 1988 1987 1986 1985 1984 1983 1982 1981 1980 1979 1978 1977 1976 1975 1974 1973 1972 1971 1970 1969 1968 1967 1966 1965 1964 1963 1962 1961 1960 1959 1958 1957 1956 1955 1954 1953 1952 1951 1950 1949 1948 1947 1946 1945 1944 1943 1942 1941 1940 1939 1938 1937 1936 1935 1934 1933 1932 1931 1930 1929 1927 1926 2056_26 Geographical Names swissNAMES3D swissNAMES3D is the most comprehensive collection of geographical names for Switzerland and Liechtenstein. swissNAMES3D contains over 437,000 georeferenced entries divided in different categories. The dataset replaces since 2015 the old product swissNAMES updated until 2008. In the federal geoportal the layer "geographical names" corresponds to a selection of swissNAMES3D for the different zoomlevels. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swissnames3d image/png Time current current 2056_25 swissSURFACE3D Raster monodirectional hillshade The hillshade is derived from the digital elevation model swissSURFACE3D Raster. It illustrates the surface relief of Switzerland and the Principality of Liechtenstein. A hillshade is derived from the elevation model by calculating the exposure of the surface to sunlight at a certain or several angles. The monodirectional swissSURFACE3D Raster hillshade is generated using a northwestern sun position as light source. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swisssurface3d-reliefschattierung_monodirektional image/png Time current current 2056_26 swissSURFACE3D Raster multidirectional hillshade The hillshade is derived from the digital elevation model swissSURFACE3D Raster. It illustrates the surface relief of Switzerland and the Principality of Liechtenstein. A hillshade is derived from the elevation model by calculating the exposure of the surface to sunlight at a certain or several angles. The swissSURFACE3D Raster hillshade uses a multidirectional method that combines light from 6 different sources (sun's positions). The average sun's position is located to the northwest. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swisssurface3d-reliefschattierung-multidirektional image/png Time current current 2056_26 Railway swissTLM3D swissTLM3D Railway contains the path of the railways with narrow-gauge and standard gauge. All tracks are captured in the sections with multiple tracks and in the areas of a station. swissTLM3D Railway is part of the dataset swissTLM3D. With a high accuracy and the incorporation of a third dimension, swissTLM3D is the most extensive 3D vector data set of Switzerland. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swisstlm3d-eisenbahnnetz image/png Time current current 2056_26 Hydrography swissTLM3D swissTLM3D hydrographical network contains the watercourses and lake contours of Switzerland and the Principality of Liechtenstein. It is part of the dataset swissTLM3D. With a high accuracy and the incorporation of a third dimension, swissTLM3D is the most extensive 3D vector data set of Switzerland. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swisstlm3d-gewaessernetz image/png Time current current 2056_26 Map swissTLM (color) swissTLM-Map is an automatically generated map which offers a complement to the national maps in the scale range 1:5'000 to 1:10'000. swissTLM-Map is based on the data of the topographic landscape model swissTLM3D complemented by the contours and hillshade of the digital elevation model swissALTI3D. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swisstlm3d-karte-farbe image/png Time current current 2056_25 Map swissTLM for 3D (color) swissTLM-Map light 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swisstlm3d-karte-farbe.3d image/jpeg Time current current 2056_27 Map swissTLM (grey) swissTLM-Map is an automatically generated map which offers a complement to the national maps in the scale range 1:5'000 to 1:10'000. swissTLM-Map is based on the data of the topographic landscape model swissTLM3D complemented by the contours and hillshade of the digital elevation model swissALTI3D. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swisstlm3d-karte-grau image/png Time current current 2056_25 Map swissTLM for 3D (grey) swissTLM-Map light 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swisstlm3d-karte-grau.3d image/jpeg Time current current 2056_27 Roads and Tracks swissTLM3D swissTLM3D road and tracks contains the road and path network Switzerland and the Principality of Liechtenstein. It is part of the dataset swissTLM3D. With a high accuracy and the incorporation of a third dimension, swissTLM3D is the most extensive 3D vector data set of Switzerland. In the federal geoportal the objects of the layer "road and tracks" are displayed gradually according to the different zoomlevels. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swisstlm3d-strassen image/png Time current current 2056_26 Cableways swissTLM3D swissTLM3D other transportations contains the different types of cable railway and other types of mechanical transport. It is part of the dataset swissTLM3D. With a high accuracy and the incorporation of a third dimension, swissTLM3D is the most extensive 3D vector data set of Switzerland. In the federal geoportal the objects of the layer "other transportations" are displayed gradually according to the different zoomlevels. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swisstlm3d-uebrigerverkehr image/png Time current current 2056_26 Forest swissTLM3D swissTLM3D Forest contains the forested areas of Switzerland and the Principality of Liechtenstein. It is part of the dataset swissTLM3D. With a high accuracy and the incorporation of a third dimension, swissTLM3D is the most extensive 3D vector data set of Switzerland. In swissTLM3D Forest, the object types "Forest", "Sparse forest" and "Bush forest" are represented differently. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swisstlm3d-wald image/png Time current current 2056_25 Hiking trails swissTLM3D hiking trails contains the hiking trails of Switzerland and the Principality of Liechtenstein. This dataset is published in collaboration with the Federal roads office FEDRO, SwitzerlandMobility, Suisse Rando and the cantons. The data is fully updated once a year with the swissTLM3D dataset. If necessary, ad hoc corrections and improvements are published during the year. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swisstlm3d-wanderwege image/png Time current current 2056_26 Base network swissTNE swissTNE Base is the spatial reference base of Transportation Network CH, the future national geodata infrastructure for transport and mobility. This base network maps the four transport modes of rail, road, cable and water in a multimodal way without further thematic information. It serves as a common denominator for referencing and linking spatial transport and mobility data, regardless of whether these are available in geometrically, detailed or aggregated form. The dataset is still based exclusively on the topographic landscape model TLM, but will be further developed and supplemented as part of the implementation of Transportation network CH. In addition, the swissTNE BaseTLM product provides essential domain specific information on these geometries derived from swissTLM3D. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.swisstne-base image/png Time current current 2056_26 LV95 Transformation accuracy From the combined accuracy map can be derived the accuracy of GNSS data measured, e.g. with swipos positioning service, in LV03 (with real-time-FINELTRA) or LV95, compared to national survey and cadastral data (frame of reference). Therefore, it is for instance possible to avoid a local adjustment in the low distortion areas. For further information about the use of the combined accuracy map please follow below the "link to the detail description". 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.transformationsgenauigkeit image/png Time current current 2056_25 Accommodations winter The winter accommodations are part of the national maps with snow sports theme for Switzerland and adjacent parts of its neighbouring countries. The data set is produced in collaboration with the Swiss Alpine Club SAC and updated annually. Winter accommodations are open during the snow sports season, are located on existing snow sports routes or in the immediate vicinity, in valley locations for crossings or in starting or finishing locations of a tour that are difficult to reach. Accommodations in ski resorts are not shown. Neither the Swiss Alpine Club SAC nor the Federal Office of Topography can accept liability for the accuracy, completeness or up-to-dateness of the information. Detailed tour planning is highly recommended. Further information on most winter accommodation can be found on the SAC route portal or the SAC-CAS app: <a href="https://www.sac-cas.ch/en/" target="_blank">https://www.sac-cas.ch/en/</a>. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.unterkuenfte-winter image/png Time current current 2056_26 Low distortion area During fieldwork in the official cadastral survey, a local adaptation must be made or proof must be provided that this is not needed. In low distortion areas, a local adaptation is not necessary, because the geometric accuracy complies with higher quality criteria. In practical applications, knowledge of low distortion areas makes working with satellite-based measuring methods easier, in particular with positioning services such as swipos. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo-vd.spannungsarme-gebiete image/png Time current current 2056_26 Protected Areas swissTLMRegio Territorial boundaries: Boundaries of protected areas in Switzerland and in neighbouring countries. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec200-adminboundaries-protectedarea image/png Time current current 2056_25 Building generalized swissTLMRegio The Topic Building contains individual buildings. It consists of one feature class.Because of the effects of generalisation, the assigned buildings in the real world are often groups of buildings. Therefore, the topic Building is not suitable for the identification of single buildings but is rather an orientation aid. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec200-building image/png Time current current 2056_25 Hydrology swissTLMRegio The topic Hydrography contains the different features connected to water. It consists of 6 feature classes and one table. The lines of "FlowingWater" and "StagnantWater" and the points of "GWK_FW_Node" are connected with each other according to a so called edge-node structure. Edges (lines) are connected to each other with nodes (points). Every edge has therefore exactly two nodes at its end. Edges and Nodes together build a geometric network. In collaboration with the Federal Office for Water and Geology (BWG), the edges and nodes in Switzerland were structured and addressed according to GEWISS (the Swiss Water Information System). For this reason, the so called GEWISS-Attributes were integrated. A Feature Class with information on waterfalls, locks and other objects was integrated into this topic. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec200-hydrography image/png Time current current 2056_25 Land cover swissTLMRegio The topic Landcover describes the topographic land cover. It consists of one feature class. The polygons build up a surface network, where gaps and overlays (according to the overlay matrix) are allowed. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec200-landcover image/png Time current current 2056_25 Single objects swissTLMRegio The topic Miscellaneous contains a selection of prominent single point and line features and elevation points. It consists of sixfeature classes. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec200-miscellaneous image/png Time current current 2056_25 Elevations swissTLMRegio The topic Miscellaneous contains a selection of prominent single point and line features and elevation points (Feature class GeodPoint).It consists of sixfeature classes. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec200-miscellaneous-geodpoint image/png Time current current 2056_25 Names swissTLMRegio The topic Names is comprised of the two Feature Classes NamedLocation and TLMRegio_NamedLocation_PLY which contains names of municipalities, places, peaks and numerous other important elements in the 1:200'000 scale 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec200-names-namedlocation image/png Time current current 2056_25 Public transportation swissTLMRegio The Public Transportation Topic, as part of the Transportation Topic, contains different features connected with traffic (road, railway, airports, car-ferry, ...). It consists of 12 feature classes and 3 tables. The lines and the points are related to each other according to a so called edge-node structure. Edges (lines) are connected to each other with nodes (points). Every edge has therefore exactly two nodes at its end. Edges and Nodes together build a geometric network. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec200-transportation-oeffentliche-verkehr image/png Time current current 2056_25 Road system swissTLMRegio The topic Transportation contains different features connected with traffic. There is information about: Customs offices, major road junctions (Interchange), access ramps, roads and streets, car ferries (Ship) and traffic information about roads. The traffic regulation (prohibition of traffic, one-way streets, no turn) is not described. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec200-transportation-strassennetz image/png Time current current 2056_25 Functional surfaces VECTOR25 The layer functional surfaces (abbreviation "anl") includes railway station, airport and airport railway station facilities. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec25-anlagen image/png Time current current 2056_26 Single objects VECTOR25 The layer single objects (abbreviation "eob") includes a choice of prominent point and line objects (orientation aids). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec25-einzelobjekte image/png Time current current 2056_26 Buildings VECTOR25 The layer buildings (abbrev "geb") contains all of the "building data" of the National Map 1:25 000 as surface objects. The classification includes all of the object types which could be identified on the basic of the map legend. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec25-gebaeude image/png Time current current 2056_26 Hydrological network VECTOR25 The layer "Hydrographic network" consists of a directionally oriented line network connected to each other with nodes, and of a table without geometry. Those features which are in Switzerland and the Principality of Liechtenstein form the basis for the Swiss Water Information System (GEWISS). GEWISS is managed by the Federal Office for the Environment (FOEN). The layer Hydrographic network has been completely revised within the project GWN07. The release 2007 of VECTOR25 gwn is published as reference. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec25-gewaessernetz_referenz image/png Time current current 2056_27 Hedges and trees VECTOR25 The layer hedges and trees (abbreviation "heb") includes point and line objects belonging to the type "vegetation. The objects are half-automaticaly extracted from the pixel map. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec25-heckenbaeume image/png Time current current 2056_26 Primary surfaces VECTOR25 The layer primary surfaces (abbreviation "pri") describes the soil coverage. The types of surfaces are mutually exclusive (lake and forest) and form an explicit and complete area network. As opposed to the National Map, the primary surfaces contain interpreted inhabited areas. Buildings are shown in a separate layer. The linear objects of this layer form the boundaries between the surfaces. They are an individual kind of object which can generally not be deducted from the surface ("river bank left" - "river bank right", "defined forest outline" - "undefined forest outline"). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.vec25-primaerflaechen image/png Time current current 2056_26 LV95 Displacement vectors TSP1 The displacement vectors of the pass points (TSP1) point from LV03 to LV95 and therefore in the direction and absolute value of the local rectification (infobox). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.verschiebungsvektoren-tsp1 image/png Time current current 2056_26 LV95 Displacement vectors TSP2 The displacement vectors of the pass points (TSP2) point from LV03 to LV95 and therefore in the direction and absolute value of the local rectification (infobox). 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.verschiebungsvektoren-tsp2 image/png Time current current 2056_26 Journey through time - Maps Since its foundation in 1838 by Guillaume-Henri Dufour, swisstopo has produced three official national map series, the topographical map of Switzerland 1:100’000 (Dufour Map), the topographical atlas 1:25’000 / 1:50’000 (Siegfried Map) and the Swiss National Maps in different scales. The collection of these products constitutes a cultural asset of national significance which qualifies as a kind of «topographical landscape memory of Switzerland». The «journey through time» allows to interactively explore the evolution of the landscape. 5.140242 45.398181 11.47757 48.230651 ch.swisstopo.zeitreihen image/png Time 20211231 20211231 20201231 20191231 20181231 20171231 20161231 20151231 20141231 20131231 20121231 20111231 20101231 20091231 20081231 20071231 20061231 20051231 20041231 20031231 20021231 20011231 20001231 19991231 19981231 19971231 19961231 19951231 19941231 19931231 19921231 19911231 19901231 19891231 19881231 19871231 19861231 19851231 19841231 19831231 19821231 19811231 19801231 19791231 19781231 19771231 19761231 19751231 19741231 19731231 19721231 19711231 19701231 19691231 19681231 19671231 19661231 19651231 19641231 19631231 19621231 19611231 19601231 19591231 19581231 19571231 19561231 19551231 19541231 19531231 19521231 19511231 19501231 19491231 19481231 19471231 19461231 19451231 19441231 19431231 19421231 19411231 19401231 19391231 19381231 19371231 19361231 19351231 19341231 19331231 19321231 19311231 19301231 19291231 19281231 19271231 19261231 19251231 19241231 19231231 19221231 19211231 19201231 19191231 19181231 19171231 19161231 19151231 19141231 19131231 19121231 19111231 19101231 19091231 19081231 19071231 19061231 19051231 19041231 19031231 19021231 19011231 19001231 18991231 18981231 18971231 18961231 18951231 18941231 18931231 18921231 18911231 18901231 18891231 18881231 18871231 18861231 18851231 18841231 18831231 18821231 18811231 18801231 18791231 18781231 18771231 18761231 18751231 18741231 18731231 18721231 18711231 18701231 18691231 18681231 18671231 18661231 18651231 18641231 18631231 18621231 18611231 18601231 18591231 18581231 18571231 18561231 18551231 18541231 18531231 18521231 18511231 18501231 18491231 18481231 18471231 18461231 18451231 18441231 2056_26 Memorials of war and of armed forces The Inventory of memorials of war and of armed forces in Switzerland comprises around 1000 sculptures, commemorative stones and plaques, stelae, obelisks or statues that have been erected over the years in Switzerland to commemorate military-historical events and persons. They commemorate battles during the time of the Old Swiss Confederation, the presence of foreign armed forces in Switzerland, accidents within the armed forces, disbanded troop units, outstanding personalities of the armed forces or the two active services of the 20th century and they are categorised accordingly. Some events relevant to military history that cannot be assigned to these categories without doubt are also recorded in a special category. 5.140242 45.398181 11.47757 48.230651 ch.vbs.armee-kriegsdenkmaeler image/png Time current current 2056_26 Army logistics centres (ALC) Five army logistics centres (ALC) ensure that the Swiss Armed Forces' troops receive the logistics services they need during both training and deployment. 5.140242 45.398181 11.47757 48.230651 ch.vbs.armeelogistikcenter image/png Time current current 2056_26 Zeus map Basic disposition "Zeus" (facsimile copy). Declassified map. Army operation order dated 28 April 1989 (valid as of 1 January 1990) and the associated combined basic disposition dated 31 October 1991 (valid as of 1 January 1992). 5.140242 45.398181 11.47757 48.230651 ch.vbs.grunddispositiv-zeus image/jpeg Time current current 2056_26 - - 5.140242 45.398181 11.47757 48.230651 ch.vbs.ladestationen image/png Time current current 2056_23 ALC logistics areas Areas managed by the army logistics centres (ALC) 5.140242 45.398181 11.47757 48.230651 ch.vbs.logistikraeume-armeelogistikcenter image/png Time current current 2056_26 Mil Airspace Chart The Mil Airspace Chart is a military aviation map created jointly by skyguide, swisstopo and the Swiss Air Force. It is tailored to the needs of Swiss Air Force operations and is based on the ICAO map. The map is published once a year on the day on which Swiss airspace structure is modified. 5.140242 45.398181 11.47757 48.230651 ch.vbs.milairspacechart image/png Time current current 2056_19 Tank relocation routes Partial publication of the tank relocation routes of the tank relocation office. By this publication changes in the passability of the routes can be detected and reported. As before, the troops receive the approved map of the operational area from the tank relocation office. 5.140242 45.398181 11.47757 48.230651 ch.vbs.panzerverschiebungsrouten image/png Time current current 2056_25 Patrouille des Glaciers (A race) The Patrouille des Glaciers (PDG) is an international military ski mountaineering race organised by the Swiss Armed Forces that is also open to civilian patrols. The course runs from Zermatt to Verbier (Z race) or from Arolla to Verbier (A race) and must be completed in one go. What makes this competition unique are the length of the route, the demands of the high-alpine terrain, the altitude and the profile of the route. 5.140242 45.398181 11.47757 48.230651 ch.vbs.patrouilledesglaciers-a_rennen image/png Time current current 2056_26 Patrouille des Glaciers (Z race) The Patrouille des Glaciers (PDG) is an international military ski mountaineering race organised by the Swiss Armed Forces that is also open to civilian patrols. The course runs from Zermatt to Verbier (Z race) or from Arolla to Verbier (A race) and must be completed in one go. What makes this competition unique are the length of the route, the demands of the high-alpine terrain, the altitude and the profile of the route. 5.140242 45.398181 11.47757 48.230651 ch.vbs.patrouilledesglaciers-z_rennen image/png Time current current 2056_26 Arsenals The arsenals are responsible for modifying, replacing and exchanging the personal equipment carried by soldiers during their military service. 5.140242 45.398181 11.47757 48.230651 ch.vbs.retablierungsstellen image/png Time current current 2056_26 Published shooting range bulletins, hazard zones Displays the hazard zones of published Swiss Armed Forces' shooting ranges.Published shooting range bulletins are able to be accessed. The shooting range bulletins contains information on expected live fire exercise times and dates, as well additional details about the hazards (e.g. special barriers, weapons used, maximum elevation when trajectory weapons are used). 5.140242 45.398181 11.47757 48.230651 ch.vbs.schiessanzeigen image/png Time current current 2056_26 Map of restricted and danger areas Die Sperr- und Gefahrenzonenkarte ist eine Planungskarte welche Flugsicherheitszonen und Luftraumklassen enthält. Sie ist entstanden in Zusammenarbeit zwischen der skyguide, der swisstopo und der Schweizer Luftwaffe und ist auf die Bedürfnisse der Operationen der Schweizer Luftwaffe zugeschnitten. Die Karte wird einmal im Jahr auf das Datum der Luftraumstrukturänderung der Schweiz herausgegeben. 5.140242 45.398181 11.47757 48.230651 ch.vbs.sperr-gefahrenzonenkarte image/png Time current current 2056_19 SWISS MIL PILOTS CHART The Swiss MIL Pilot Chart is an aeronautical map created jointly by skyguide, swisstopo and the Swiss Air Force. It is specially tailored to the needs of Swiss Air Force operations. The map is published once a year on the day on which Swiss airspace structure is modified. 5.140242 45.398181 11.47757 48.230651 ch.vbs.swissmilpilotschart image/png Time current current 2056_19 Map of forest damage – projectile Network of coordinates CH1903+/LV95: global and local terrestrial reference frameworks are implementations of reference systems in the form of coordinate sets for materialised triangulation points resulting from the network adjustment of geodetic observations. 5.140242 45.398181 11.47757 48.230651 ch.vbs.waldschadenkarte image/png Time current current 2056_26 2056_18 urn:ogc:def:crs:EPSG:2056 0 14285714.285714287 2420000.0 1350000.0 256 256 1 1 1 13392857.142857144 2420000.0 1350000.0 256 256 1 1 2 12500000.000000002 2420000.0 1350000.0 256 256 1 1 3 11607142.857142858 2420000.0 1350000.0 256 256 1 1 4 10714285.714285715 2420000.0 1350000.0 256 256 1 1 5 9821428.571428573 2420000.0 1350000.0 256 256 1 1 6 8928571.42857143 2420000.0 1350000.0 256 256 1 1 7 8035714.285714286 2420000.0 1350000.0 256 256 1 1 8 7142857.142857144 2420000.0 1350000.0 256 256 1 1 9 6250000.000000001 2420000.0 1350000.0 256 256 2 1 10 5357142.857142857 2420000.0 1350000.0 256 256 2 1 11 4464285.714285715 2420000.0 1350000.0 256 256 2 1 12 3571428.571428572 2420000.0 1350000.0 256 256 2 2 13 2678571.4285714286 2420000.0 1350000.0 256 256 3 2 14 2321428.571428572 2420000.0 1350000.0 256 256 3 2 15 1785714.285714286 2420000.0 1350000.0 256 256 4 3 16 892857.142857143 2420000.0 1350000.0 256 256 8 5 17 357142.85714285716 2420000.0 1350000.0 256 256 19 13 18 178571.42857142858 2420000.0 1350000.0 256 256 38 25 2056_19 urn:ogc:def:crs:EPSG:2056 0 14285714.285714287 2420000.0 1350000.0 256 256 1 1 1 13392857.142857144 2420000.0 1350000.0 256 256 1 1 2 12500000.000000002 2420000.0 1350000.0 256 256 1 1 3 11607142.857142858 2420000.0 1350000.0 256 256 1 1 4 10714285.714285715 2420000.0 1350000.0 256 256 1 1 5 9821428.571428573 2420000.0 1350000.0 256 256 1 1 6 8928571.42857143 2420000.0 1350000.0 256 256 1 1 7 8035714.285714286 2420000.0 1350000.0 256 256 1 1 8 7142857.142857144 2420000.0 1350000.0 256 256 1 1 9 6250000.000000001 2420000.0 1350000.0 256 256 2 1 10 5357142.857142857 2420000.0 1350000.0 256 256 2 1 11 4464285.714285715 2420000.0 1350000.0 256 256 2 1 12 3571428.571428572 2420000.0 1350000.0 256 256 2 2 13 2678571.4285714286 2420000.0 1350000.0 256 256 3 2 14 2321428.571428572 2420000.0 1350000.0 256 256 3 2 15 1785714.285714286 2420000.0 1350000.0 256 256 4 3 16 892857.142857143 2420000.0 1350000.0 256 256 8 5 17 357142.85714285716 2420000.0 1350000.0 256 256 19 13 18 178571.42857142858 2420000.0 1350000.0 256 256 38 25 19 71428.57142857143 2420000.0 1350000.0 256 256 94 63 2056_20 urn:ogc:def:crs:EPSG:2056 0 14285714.285714287 2420000.0 1350000.0 256 256 1 1 1 13392857.142857144 2420000.0 1350000.0 256 256 1 1 2 12500000.000000002 2420000.0 1350000.0 256 256 1 1 3 11607142.857142858 2420000.0 1350000.0 256 256 1 1 4 10714285.714285715 2420000.0 1350000.0 256 256 1 1 5 9821428.571428573 2420000.0 1350000.0 256 256 1 1 6 8928571.42857143 2420000.0 1350000.0 256 256 1 1 7 8035714.285714286 2420000.0 1350000.0 256 256 1 1 8 7142857.142857144 2420000.0 1350000.0 256 256 1 1 9 6250000.000000001 2420000.0 1350000.0 256 256 2 1 10 5357142.857142857 2420000.0 1350000.0 256 256 2 1 11 4464285.714285715 2420000.0 1350000.0 256 256 2 1 12 3571428.571428572 2420000.0 1350000.0 256 256 2 2 13 2678571.4285714286 2420000.0 1350000.0 256 256 3 2 14 2321428.571428572 2420000.0 1350000.0 256 256 3 2 15 1785714.285714286 2420000.0 1350000.0 256 256 4 3 16 892857.142857143 2420000.0 1350000.0 256 256 8 5 17 357142.85714285716 2420000.0 1350000.0 256 256 19 13 18 178571.42857142858 2420000.0 1350000.0 256 256 38 25 19 71428.57142857143 2420000.0 1350000.0 256 256 94 63 20 35714.28571428572 2420000.0 1350000.0 256 256 188 125 2056_21 urn:ogc:def:crs:EPSG:2056 0 14285714.285714287 2420000.0 1350000.0 256 256 1 1 1 13392857.142857144 2420000.0 1350000.0 256 256 1 1 2 12500000.000000002 2420000.0 1350000.0 256 256 1 1 3 11607142.857142858 2420000.0 1350000.0 256 256 1 1 4 10714285.714285715 2420000.0 1350000.0 256 256 1 1 5 9821428.571428573 2420000.0 1350000.0 256 256 1 1 6 8928571.42857143 2420000.0 1350000.0 256 256 1 1 7 8035714.285714286 2420000.0 1350000.0 256 256 1 1 8 7142857.142857144 2420000.0 1350000.0 256 256 1 1 9 6250000.000000001 2420000.0 1350000.0 256 256 2 1 10 5357142.857142857 2420000.0 1350000.0 256 256 2 1 11 4464285.714285715 2420000.0 1350000.0 256 256 2 1 12 3571428.571428572 2420000.0 1350000.0 256 256 2 2 13 2678571.4285714286 2420000.0 1350000.0 256 256 3 2 14 2321428.571428572 2420000.0 1350000.0 256 256 3 2 15 1785714.285714286 2420000.0 1350000.0 256 256 4 3 16 892857.142857143 2420000.0 1350000.0 256 256 8 5 17 357142.85714285716 2420000.0 1350000.0 256 256 19 13 18 178571.42857142858 2420000.0 1350000.0 256 256 38 25 19 71428.57142857143 2420000.0 1350000.0 256 256 94 63 20 35714.28571428572 2420000.0 1350000.0 256 256 188 125 21 17857.14285714286 2420000.0 1350000.0 256 256 375 250 2056_23 urn:ogc:def:crs:EPSG:2056 0 14285714.285714287 2420000.0 1350000.0 256 256 1 1 1 13392857.142857144 2420000.0 1350000.0 256 256 1 1 2 12500000.000000002 2420000.0 1350000.0 256 256 1 1 3 11607142.857142858 2420000.0 1350000.0 256 256 1 1 4 10714285.714285715 2420000.0 1350000.0 256 256 1 1 5 9821428.571428573 2420000.0 1350000.0 256 256 1 1 6 8928571.42857143 2420000.0 1350000.0 256 256 1 1 7 8035714.285714286 2420000.0 1350000.0 256 256 1 1 8 7142857.142857144 2420000.0 1350000.0 256 256 1 1 9 6250000.000000001 2420000.0 1350000.0 256 256 2 1 10 5357142.857142857 2420000.0 1350000.0 256 256 2 1 11 4464285.714285715 2420000.0 1350000.0 256 256 2 1 12 3571428.571428572 2420000.0 1350000.0 256 256 2 2 13 2678571.4285714286 2420000.0 1350000.0 256 256 3 2 14 2321428.571428572 2420000.0 1350000.0 256 256 3 2 15 1785714.285714286 2420000.0 1350000.0 256 256 4 3 16 892857.142857143 2420000.0 1350000.0 256 256 8 5 17 357142.85714285716 2420000.0 1350000.0 256 256 19 13 18 178571.42857142858 2420000.0 1350000.0 256 256 38 25 19 71428.57142857143 2420000.0 1350000.0 256 256 94 63 20 35714.28571428572 2420000.0 1350000.0 256 256 188 125 21 17857.14285714286 2420000.0 1350000.0 256 256 375 250 22 8928.57142857143 2420000.0 1350000.0 256 256 750 500 23 7142.857142857143 2420000.0 1350000.0 256 256 938 625 2056_24 urn:ogc:def:crs:EPSG:2056 0 14285714.285714287 2420000.0 1350000.0 256 256 1 1 1 13392857.142857144 2420000.0 1350000.0 256 256 1 1 2 12500000.000000002 2420000.0 1350000.0 256 256 1 1 3 11607142.857142858 2420000.0 1350000.0 256 256 1 1 4 10714285.714285715 2420000.0 1350000.0 256 256 1 1 5 9821428.571428573 2420000.0 1350000.0 256 256 1 1 6 8928571.42857143 2420000.0 1350000.0 256 256 1 1 7 8035714.285714286 2420000.0 1350000.0 256 256 1 1 8 7142857.142857144 2420000.0 1350000.0 256 256 1 1 9 6250000.000000001 2420000.0 1350000.0 256 256 2 1 10 5357142.857142857 2420000.0 1350000.0 256 256 2 1 11 4464285.714285715 2420000.0 1350000.0 256 256 2 1 12 3571428.571428572 2420000.0 1350000.0 256 256 2 2 13 2678571.4285714286 2420000.0 1350000.0 256 256 3 2 14 2321428.571428572 2420000.0 1350000.0 256 256 3 2 15 1785714.285714286 2420000.0 1350000.0 256 256 4 3 16 892857.142857143 2420000.0 1350000.0 256 256 8 5 17 357142.85714285716 2420000.0 1350000.0 256 256 19 13 18 178571.42857142858 2420000.0 1350000.0 256 256 38 25 19 71428.57142857143 2420000.0 1350000.0 256 256 94 63 20 35714.28571428572 2420000.0 1350000.0 256 256 188 125 21 17857.14285714286 2420000.0 1350000.0 256 256 375 250 22 8928.57142857143 2420000.0 1350000.0 256 256 750 500 23 7142.857142857143 2420000.0 1350000.0 256 256 938 625 24 5357.142857142858 2420000.0 1350000.0 256 256 1250 834 2056_25 urn:ogc:def:crs:EPSG:2056 0 14285714.285714287 2420000.0 1350000.0 256 256 1 1 1 13392857.142857144 2420000.0 1350000.0 256 256 1 1 2 12500000.000000002 2420000.0 1350000.0 256 256 1 1 3 11607142.857142858 2420000.0 1350000.0 256 256 1 1 4 10714285.714285715 2420000.0 1350000.0 256 256 1 1 5 9821428.571428573 2420000.0 1350000.0 256 256 1 1 6 8928571.42857143 2420000.0 1350000.0 256 256 1 1 7 8035714.285714286 2420000.0 1350000.0 256 256 1 1 8 7142857.142857144 2420000.0 1350000.0 256 256 1 1 9 6250000.000000001 2420000.0 1350000.0 256 256 2 1 10 5357142.857142857 2420000.0 1350000.0 256 256 2 1 11 4464285.714285715 2420000.0 1350000.0 256 256 2 1 12 3571428.571428572 2420000.0 1350000.0 256 256 2 2 13 2678571.4285714286 2420000.0 1350000.0 256 256 3 2 14 2321428.571428572 2420000.0 1350000.0 256 256 3 2 15 1785714.285714286 2420000.0 1350000.0 256 256 4 3 16 892857.142857143 2420000.0 1350000.0 256 256 8 5 17 357142.85714285716 2420000.0 1350000.0 256 256 19 13 18 178571.42857142858 2420000.0 1350000.0 256 256 38 25 19 71428.57142857143 2420000.0 1350000.0 256 256 94 63 20 35714.28571428572 2420000.0 1350000.0 256 256 188 125 21 17857.14285714286 2420000.0 1350000.0 256 256 375 250 22 8928.57142857143 2420000.0 1350000.0 256 256 750 500 23 7142.857142857143 2420000.0 1350000.0 256 256 938 625 24 5357.142857142858 2420000.0 1350000.0 256 256 1250 834 25 3571.4285714285716 2420000.0 1350000.0 256 256 1875 1250 2056_26 urn:ogc:def:crs:EPSG:2056 0 14285714.285714287 2420000.0 1350000.0 256 256 1 1 1 13392857.142857144 2420000.0 1350000.0 256 256 1 1 2 12500000.000000002 2420000.0 1350000.0 256 256 1 1 3 11607142.857142858 2420000.0 1350000.0 256 256 1 1 4 10714285.714285715 2420000.0 1350000.0 256 256 1 1 5 9821428.571428573 2420000.0 1350000.0 256 256 1 1 6 8928571.42857143 2420000.0 1350000.0 256 256 1 1 7 8035714.285714286 2420000.0 1350000.0 256 256 1 1 8 7142857.142857144 2420000.0 1350000.0 256 256 1 1 9 6250000.000000001 2420000.0 1350000.0 256 256 2 1 10 5357142.857142857 2420000.0 1350000.0 256 256 2 1 11 4464285.714285715 2420000.0 1350000.0 256 256 2 1 12 3571428.571428572 2420000.0 1350000.0 256 256 2 2 13 2678571.4285714286 2420000.0 1350000.0 256 256 3 2 14 2321428.571428572 2420000.0 1350000.0 256 256 3 2 15 1785714.285714286 2420000.0 1350000.0 256 256 4 3 16 892857.142857143 2420000.0 1350000.0 256 256 8 5 17 357142.85714285716 2420000.0 1350000.0 256 256 19 13 18 178571.42857142858 2420000.0 1350000.0 256 256 38 25 19 71428.57142857143 2420000.0 1350000.0 256 256 94 63 20 35714.28571428572 2420000.0 1350000.0 256 256 188 125 21 17857.14285714286 2420000.0 1350000.0 256 256 375 250 22 8928.57142857143 2420000.0 1350000.0 256 256 750 500 23 7142.857142857143 2420000.0 1350000.0 256 256 938 625 24 5357.142857142858 2420000.0 1350000.0 256 256 1250 834 25 3571.4285714285716 2420000.0 1350000.0 256 256 1875 1250 26 1785.7142857142858 2420000.0 1350000.0 256 256 3750 2500 2056_27 urn:ogc:def:crs:EPSG:2056 0 14285714.285714287 2420000.0 1350000.0 256 256 1 1 1 13392857.142857144 2420000.0 1350000.0 256 256 1 1 2 12500000.000000002 2420000.0 1350000.0 256 256 1 1 3 11607142.857142858 2420000.0 1350000.0 256 256 1 1 4 10714285.714285715 2420000.0 1350000.0 256 256 1 1 5 9821428.571428573 2420000.0 1350000.0 256 256 1 1 6 8928571.42857143 2420000.0 1350000.0 256 256 1 1 7 8035714.285714286 2420000.0 1350000.0 256 256 1 1 8 7142857.142857144 2420000.0 1350000.0 256 256 1 1 9 6250000.000000001 2420000.0 1350000.0 256 256 2 1 10 5357142.857142857 2420000.0 1350000.0 256 256 2 1 11 4464285.714285715 2420000.0 1350000.0 256 256 2 1 12 3571428.571428572 2420000.0 1350000.0 256 256 2 2 13 2678571.4285714286 2420000.0 1350000.0 256 256 3 2 14 2321428.571428572 2420000.0 1350000.0 256 256 3 2 15 1785714.285714286 2420000.0 1350000.0 256 256 4 3 16 892857.142857143 2420000.0 1350000.0 256 256 8 5 17 357142.85714285716 2420000.0 1350000.0 256 256 19 13 18 178571.42857142858 2420000.0 1350000.0 256 256 38 25 19 71428.57142857143 2420000.0 1350000.0 256 256 94 63 20 35714.28571428572 2420000.0 1350000.0 256 256 188 125 21 17857.14285714286 2420000.0 1350000.0 256 256 375 250 22 8928.57142857143 2420000.0 1350000.0 256 256 750 500 23 7142.857142857143 2420000.0 1350000.0 256 256 938 625 24 5357.142857142858 2420000.0 1350000.0 256 256 1250 834 25 3571.4285714285716 2420000.0 1350000.0 256 256 1875 1250 26 1785.7142857142858 2420000.0 1350000.0 256 256 3750 2500 27 892.8571428571429 2420000.0 1350000.0 256 256 7500 5000 2056_28 urn:ogc:def:crs:EPSG:2056 0 14285714.285714287 2420000.0 1350000.0 256 256 1 1 1 13392857.142857144 2420000.0 1350000.0 256 256 1 1 2 12500000.000000002 2420000.0 1350000.0 256 256 1 1 3 11607142.857142858 2420000.0 1350000.0 256 256 1 1 4 10714285.714285715 2420000.0 1350000.0 256 256 1 1 5 9821428.571428573 2420000.0 1350000.0 256 256 1 1 6 8928571.42857143 2420000.0 1350000.0 256 256 1 1 7 8035714.285714286 2420000.0 1350000.0 256 256 1 1 8 7142857.142857144 2420000.0 1350000.0 256 256 1 1 9 6250000.000000001 2420000.0 1350000.0 256 256 2 1 10 5357142.857142857 2420000.0 1350000.0 256 256 2 1 11 4464285.714285715 2420000.0 1350000.0 256 256 2 1 12 3571428.571428572 2420000.0 1350000.0 256 256 2 2 13 2678571.4285714286 2420000.0 1350000.0 256 256 3 2 14 2321428.571428572 2420000.0 1350000.0 256 256 3 2 15 1785714.285714286 2420000.0 1350000.0 256 256 4 3 16 892857.142857143 2420000.0 1350000.0 256 256 8 5 17 357142.85714285716 2420000.0 1350000.0 256 256 19 13 18 178571.42857142858 2420000.0 1350000.0 256 256 38 25 19 71428.57142857143 2420000.0 1350000.0 256 256 94 63 20 35714.28571428572 2420000.0 1350000.0 256 256 188 125 21 17857.14285714286 2420000.0 1350000.0 256 256 375 250 22 8928.57142857143 2420000.0 1350000.0 256 256 750 500 23 7142.857142857143 2420000.0 1350000.0 256 256 938 625 24 5357.142857142858 2420000.0 1350000.0 256 256 1250 834 25 3571.4285714285716 2420000.0 1350000.0 256 256 1875 1250 26 1785.7142857142858 2420000.0 1350000.0 256 256 3750 2500 27 892.8571428571429 2420000.0 1350000.0 256 256 7500 5000 28 357.14285714285717 2420000.0 1350000.0 256 256 18750 12500 Surface representation Surface representation 1ea1f09a6a2f6a5785e9bbf35ee3635d Elevation Elevation 62 ch.bazl.luftfahrtkarten-icao ch.bazl.segelflugkarte ch.swisstopo.digitales-hoehenmodell_25_reliefschattierung ch.swisstopo.geoidmodell-ch1903 ch.swisstopo.geoidmodell-etrs89 ch.swisstopo.hangneigung-ueber_30 ch.swisstopo-karto.hangneigung ch.swisstopo.swissalti3d-reliefschattierung ch.swisstopo.swissalti3d-reliefschattierung_monodirektional ch.swisstopo.swissaltiregio-reliefschattierung_monodirektional ch.swisstopo.swissaltiregio-reliefschattierung_multidirektional ch.swisstopo.swissbathy3d-reliefschattierung ch.swisstopo.swisssurface3d-reliefschattierung_monodirektional ch.swisstopo.swisssurface3d-reliefschattierung-multidirektional ch.swisstopo.vec200-miscellaneous-geodpoint Hydrography Hydrography 58 ch.bafu.feststoffe-geschiebemessnetz ch.bafu.flussordnungszahlen-strahler ch.bafu.gewaesserschutz-badewasserqualitaet ch.bafu.gewaesserschutz-chemischer_zustand_ammonium ch.bafu.gewaesserschutz-chemischer_zustand_doc ch.bafu.gewaesserschutz-chemischer_zustand_nitrat ch.bafu.gewaesserschutz-chemischer_zustand_nitrit ch.bafu.gewaesserschutz-chemischer_zustand_phosphat ch.bafu.gewaesserschutz-chemischer_zustand_phosphor_gesamt ch.bafu.gewaesserschutz-diffuse_eintraege_gesamt_phosphor ch.bafu.gewaesserschutz-diffuse_eintraege_phosphor ch.bafu.gewaesserschutz-diffuse_eintraege_stickstoff ch.bafu.gewaesser-uferbestockung ch.bafu.gewaesser-uferbestockung_vegetation ch.bafu.hydrogeologie-markierversuche ch.bafu.hydrogeologische-karte_100 ch.bafu.hydrologie-daueruntersuchung_fliessgewaesser ch.bafu.hydrologie-hochwasserstatistik ch.bafu.hydrologie-niedrigwasserstatistik ch.bafu.hydrologie-q347 ch.bafu.hydrologie-untersuchungsgebiete ch.bafu.hydrologie-untersuchungsgebiete_stationen ch.bafu.hydrologischer-atlas_basisgebiete ch.bafu.hydrologischer-atlas_bilanzgebiete ch.bafu.hydrologischer-atlas_flussgebiete ch.bafu.hydrologischer-atlas_kantonale-messstationen ch.bafu.mittlere-abfluesse ch.bafu.mittlere-abfluesse_zukunft ch.bafu.oekomorphologie-f_abschnitte ch.bafu.oekomorphologie-f_abstuerze ch.bafu.oekomorphologie-f_bauwerke ch.bafu.strukturguete-hochrhein_linkesufer ch.bafu.strukturguete-hochrhein_linkesumfeld ch.bafu.strukturguete-hochrhein_rechtesufer ch.bafu.strukturguete-hochrhein_rechtesumfeld ch.bafu.strukturguete-hochrhein_sohle ch.bafu.typisierung-fliessgewaesser ch.bafu.vec25-gewaessernetz_2000 ch.bafu.vec25-seen ch.bafu.wasserbau-querprofilmarken ch.bafu.wasserbau-vermessungsstrecken ch.bafu.wasser-gebietsauslaesse ch.bafu.wasser-teileinzugsgebiete_2 ch.bafu.wasser-teileinzugsgebiete_40 ch.bafu.wasser-vorfluter ch.bfe.kleinwasserkraftpotentiale ch.swisstopo.swisstlm3d-gewaessernetz ch.swisstopo.vec200-hydrography ch.swisstopo.vec25-gewaessernetz_referenz Land cover Land cover 69 ch.bfs.arealstatistik ch.bfs.arealstatistik-bodenbedeckung ch.bfs.landschaftswandel ch.swisstopo.swisstlm3d-wald ch.swisstopo.vec200-landcover ch.swisstopo.vec25-heckenbaeume ch.swisstopo.vec25-primaerflaechen Orthoimagery Orthoimagery 78 ch.swisstopo.lubis-luftbilder-dritte-firmen ch.swisstopo.lubis-luftbilder-dritte-kantone ch.swisstopo.lubis-luftbilder_farbe ch.swisstopo.lubis-luftbilder_infrarot ch.swisstopo.lubis-luftbilder_schwarzweiss ch.swisstopo.lubis-terrestrische_aufnahmen ch.swisstopo.swissimage-product ch.swisstopo.swissimage-product_1946 ch.swisstopo.swissimage-product.metadata Environment, biology and geology Environment, biology and geology 386cd93ccc5bb661e71162ab02ec521c Environmental monitoring facilities Environmental monitoring facilities 223 ch.are.alpenkonvention ch.bafu.hydrologie-gewaesserzustandsmessstationen ch.bafu.hydrologie-hydromessstationen ch.bafu.hydrologie-wassertemperaturmessstationen ch.bafu.wasser-entnahme ch.bafu.wasser-leitungen ch.bafu.wasser-rueckgabe ch.bav.betriebe-stoerfallverordnung_eisenbahnanlagen ch.bav.laermbelastung-eisenbahn_effektive_immissionen_nacht ch.bav.laermbelastung-eisenbahn_effektive_immissionen_tag ch.bav.laermbelastung-eisenbahn_zulaessige_immissionen_nacht ch.bav.laermbelastung-eisenbahn_zulaessige_immissionen_tag ch.bav.lage-stoerfallverordnung_eisenbahnanlagen ch.bazl.betriebe-stoerfallverordnung-zivilflugplaetze Habitats and biotopes Habitats and biotopes 261 ch.bafu.auen-vegetationskarten ch.bafu.bundesinventare-amphibien ch.bafu.bundesinventare-amphibien_wanderobjekte ch.bafu.bundesinventare-auen ch.bafu.bundesinventare-flachmoore ch.bafu.bundesinventare-hochmoore ch.bafu.bundesinventare-jagdbanngebiete ch.bafu.bundesinventare-moorlandschaften ch.bafu.bundesinventare-trockenwiesen_trockenweiden ch.bafu.bundesinventare-vogelreservate ch.bafu.landesforstinventar-kantone ch.bafu.landesforstinventar-produktionsregionen ch.bafu.landesforstinventar-schutzwaldregionen ch.bafu.landesforstinventar-vegetationshoehenmodell ch.bafu.landesforstinventar-vegetationshoehenmodell_lidar ch.bafu.landesforstinventar-vegetationshoehenmodell_relief ch.bafu.landesforstinventar-vegetationshoehenmodell_relief_sentinel ch.bafu.landesforstinventar-vegetationshoehenmodell_sentinel ch.bafu.landesforstinventar-waldmischungsgrad ch.bafu.landesforstinventar-wirtschaftsregionen ch.bafu.ren-extensive_landwirtschaftsgebiete ch.bafu.ren-feuchtgebiete ch.bafu.ren-fliessgewaesser_seen ch.bafu.ren-trockenstandorte ch.bafu.ren-wald ch.bafu.unesco-weltnaturerbe ch.bafu.wald-standortsregionen ch.bafu.wald-tannenareale ch.bafu.wald-vegetationshoehenstufen_1975 ch.bafu.wald-vegetationshoehenstufen_2085_trocken ch.bafu.wald-vegetationshoehenstufen_2085_weniger_trocken ch.bafu.wald-wasserverfuegbarkeit_boden ch.bafu.wald-wasserverfuegbarkeit_pflanzen Geology Geology 183 ch.bafu.hydrogeologie-uebersichtskarte ch.nagra.aeromagnetische-karte_1100 ch.nagra.aeromagnetische-karte_1500 ch.swisstopo.geologie-bodenunruhe ch.swisstopo.geologie-bohrungen_tiefer_500 ch.swisstopo.geologie-dosisleistung-terrestrisch ch.swisstopo.geologie-eiszeit-lgm ch.swisstopo.geologie-eiszeit-lgm-raster ch.swisstopo.geologie-felsoberflaeche_hoehenmodell ch.swisstopo.geologie-generalkarte-ggk200 ch.swisstopo.geologie-geocover ch.swisstopo.geologie-geodaesie-bouguer_anomalien ch.swisstopo.geologie-geodaesie-isostatische_anomalien ch.swisstopo.geologie-geologische_3dmodelle ch.swisstopo.geologie-geologische_karte ch.swisstopo.geologie-geologischer_atlas ch.swisstopo.geologie-geologischer_atlas_profile ch.swisstopo.geologie-geomol_hoehe_top_omm ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten ch.swisstopo.geologie-geomol-temperaturverteilung_1000 ch.swisstopo.geologie-geomol-temperaturverteilung_1500 ch.swisstopo.geologie-geomol-temperaturverteilung_2000 ch.swisstopo.geologie-geomol-temperaturverteilung_3000 ch.swisstopo.geologie-geomol-temperaturverteilung_4000 ch.swisstopo.geologie-geomol-temperaturverteilung_500 ch.swisstopo.geologie-geomorphologie ch.swisstopo.geologie-geophysik-aeromagnetische_karte_jura ch.swisstopo.geologie-geophysik-aeromagnetische_karte_schweiz ch.swisstopo.geologie-geophysik-deklination ch.swisstopo.geologie-geophysik-geothermie ch.swisstopo.geologie-geophysik-inklination ch.swisstopo.geologie-geophysik-totalintensitaet ch.swisstopo.geologie-geotechnik-gk500-genese ch.swisstopo.geologie-geotechnik-gk500-gesteinsklassierung ch.swisstopo.geologie-geotechnik-gk500-lithologie_hauptgruppen ch.swisstopo.geologie-geotechnik-steine_historische_bauwerke ch.swisstopo.geologie-geotope ch.swisstopo.geologie-geotope_kantone_stand ch.swisstopo.geologie-geowege ch.swisstopo.geologie-gesteinsdichte ch.swisstopo.geologie-gletscherausdehnung ch.swisstopo.geologie-gletschermaechtigkeit ch.swisstopo.geologie-gravimetrischer_atlas ch.swisstopo.geologie-gravimetrischer_atlas.messpunkte ch.swisstopo.geologie-hartsteinvorkommen ch.swisstopo.geologie-hydrogeologische_karte-grundwasservorkommen ch.swisstopo.geologie-hydrogeologische_karte-grundwasservulnerabilitaet ch.swisstopo.geologie-lockergestein_maechtigkeitsmodell ch.swisstopo.geologie-reflexionsseismik ch.swisstopo.geologie-rohstoffe-ziegel_abbau ch.swisstopo.geologie-spezialkarten_schweiz.metadata ch.swisstopo.geologie-tektonische_karte ch.swisstopo.geologie-thermale_waesser Species distribution Species distribution 277 ch.agroscope.amphibien-ausbreitungskarten_alytes_obstetricans ch.agroscope.amphibien-ausbreitungskarten_bombia_variegata ch.agroscope.amphibien-ausbreitungskarten_epidalea_calamita ch.agroscope.amphibien-ausbreitungskarten_hyla_arborea ch.agroscope.amphibien-ausbreitungskarten_triturus_cristatus ch.agroscope.amphibien-bedeutung_parzellen ch.agroscope.korridore-feuchtgebietsarten_bereiche ch.agroscope.korridore-feuchtgebietsarten_qualitaet ch.bafu.fauna-steinbockkolonien ch.bafu.fauna-wildtierpassagen ch.bafu.moose ch.bafu.neophyten-amerikanische_kermesbeere ch.bafu.neophyten-amerikanischer_stinktierkohl ch.bafu.neophyten-armenische_brombeere ch.bafu.neophyten-aufrechtes_traubenkraut ch.bafu.neophyten-auslaeuferbildendes_fettkraut ch.bafu.neophyten-balfours_springkraut ch.bafu.neophyten-bastardindigo ch.bafu.neophyten-bastard_staudenknoeterich ch.bafu.neophyten-besen_radmelde ch.bafu.neophyten-blauglockenbaum ch.bafu.neophyten-brasilianisches_tausendblatt ch.bafu.neophyten-carolina_nachtschatten ch.bafu.neophyten-chinesische_samtpappel ch.bafu.neophyten-druesiges_springkraut ch.bafu.neophyten-einjaehriges_berufkraut ch.bafu.neophyten-essbare_kermesbeere ch.bafu.neophyten-essbares_zypergras ch.bafu.neophyten-essigbaum ch.bafu.neophyten-felsen_greiskraut ch.bafu.neophyten-fortunes_hanfpalme ch.bafu.neophyten-gestreiftes_suessgras ch.bafu.neophyten-gewoehnliche_jungfernrebe ch.bafu.neophyten-glattes_zackenschoetchen ch.bafu.neophyten-goetterbaum ch.bafu.neophyten-grossbluetiges_heusenkraut ch.bafu.neophyten-grosser_wassernabel ch.bafu.neophyten-haargurke ch.bafu.neophyten-henrys_geissblatt ch.bafu.neophyten-herbst_traubenkirsche ch.bafu.neophyten-igelgurke ch.bafu.neophyten-japanischer_staudenknoeterich ch.bafu.neophyten-japanisches_geissblatt ch.bafu.neophyten-kanadische_goldrute ch.bafu.neophyten-kanadische_wasserpest ch.bafu.neophyten-karolina_haarnixe ch.bafu.neophyten-kaukasus_fettkraut ch.bafu.neophyten-kirschlorbeer ch.bafu.neophyten-kletternder_giftsumach ch.bafu.neophyten-kopoubohne ch.bafu.neophyten-mahonie ch.bafu.neophyten-nadelkraut ch.bafu.neophyten-nuttalls_wasserpest ch.bafu.neophyten-portulak_heusenkraut ch.bafu.neophyten-riesenbaerenklau ch.bafu.neophyten-robinie ch.bafu.neophyten-runzelblaettriger_schneeball ch.bafu.neophyten-sachalin_staudenknoeterich ch.bafu.neophyten-schmetterlingsstrauch ch.bafu.neophyten-seidiger_hornstrauch ch.bafu.neophyten-spaetbluehende_goldrute ch.bafu.neophyten-suedafrikanisches_greiskraut ch.bafu.neophyten-syrische_seidenpflanze ch.bafu.neophyten-topinambur ch.bafu.neophyten-verlotscher_beifuss ch.bafu.neophyten-vielaehriger_knoeterich ch.bafu.neophyten-vielblaettrige_lupine Meteorological geographical features Meteorological geographical features 242 ch.bafu.luftreinhaltung-ammoniakkonzentration ch.bafu.luftreinhaltung-feinstaub_pm10 ch.bafu.luftreinhaltung-feinstaub_pm2_5 ch.bafu.luftreinhaltung-ozon ch.bafu.luftreinhaltung-schwefeldioxid ch.bafu.luftreinhaltung-stickstoffdeposition ch.bafu.luftreinhaltung-stickstoffdioxid ch.bafu.luftreinhaltung-stickstoff_kritischer_eintrag ch.bafu.wald-foehnhaeufigkeit_jahr ch.bafu.wald-kontinentalitaet_jahr_1000m_1981_2010 ch.bafu.wald-kontinentalitaet_juli_1000m_1981_2010 ch.bafu.wald-lufttemperatur_juli_1961_1990 ch.bafu.wald-lufttemperatur_juli_1981_2010 ch.bafu.wald-lufttemperatur_juli_2085_gering ch.bafu.wald-lufttemperatur_juli_2085_maessig ch.bafu.wald-lufttemperatur_juli_2085_stark ch.bafu.wald-niederschlag_april_august_2085_gering ch.bafu.wald-niederschlag_april_august_2085_maessig ch.bafu.wald-niederschlag_april_august_2085_stark ch.bafu.wald-niederschlag_sommer_2085_gering ch.bafu.wald-niederschlag_sommer_2085_maessig ch.bafu.wald-niederschlag_sommer_2085_stark ch.bafu.wald-obere_waldgrenze ch.bafu.wald-relative_luftfeuchte_jahr_1981_2010 ch.bafu.wald-relative_luftfeuchte_juli_1981_2010 ch.blw.bewaesserungsbeduerftigkeit ch.blw.bodeneignung-gruendigkeit ch.blw.bodeneignung-kulturland ch.blw.bodeneignung-kulturtyp ch.blw.bodeneignung-naehrstoffspeichervermoegen ch.blw.bodeneignung-skelettgehalt ch.blw.bodeneignung-vernaessung ch.blw.bodeneignung-wasserdurchlaessigkeit ch.blw.bodeneignung-wasserspeichervermoegen ch.blw.klimaeignung-futterbau ch.blw.klimaeignung-getreidebau ch.blw.klimaeignung-kartoffeln ch.blw.klimaeignung-koernermais ch.blw.klimaeignung-kulturland ch.blw.klimaeignung-spezialkulturen ch.blw.klimaeignung-typ ch.blw.klimaeignung-zwischenfruchtbau ch.blw.niederschlagshaushalt ch.meteoschweiz.klimanormwerte-globalstrahlung_aktuelle_periode ch.meteoschweiz.klimanormwerte-niederschlag_1961_1990 ch.meteoschweiz.klimanormwerte-niederschlag_aktuelle_periode ch.meteoschweiz.klimanormwerte-sonnenscheindauer_1961_1990 ch.meteoschweiz.klimanormwerte-sonnenscheindauer_aktuelle_periode ch.meteoschweiz.klimanormwerte-temperatur_1961_1990 ch.meteoschweiz.klimanormwerte-temperatur_aktuelle_periode ch.meteoschweiz.klimaszenarien-raumklima Mineral resources Mineral resources 280 ch.swisstopo.geologie-rohstoffe-ziegel_abbau Natural risk zones Natural risk zones 232 ch.bafu.gefaehrdungskarte-oberflaechenabfluss ch.bafu.permafrost ch.bafu.silvaprotect-hangmuren ch.bafu.silvaprotect-lawinen ch.bafu.silvaprotect-murgang ch.bafu.silvaprotect-sturz ch.bafu.silvaprotect-uebersarung ch.bafu.sturm-boeenspitzen_100 ch.bafu.sturm-boeenspitzen_30 ch.bafu.sturm-boeenspitzen_300 ch.bafu.sturm-boeenspitzen_50 ch.bafu.sturm-staudruck_100 ch.bafu.sturm-staudruck_30 ch.bafu.sturm-staudruck_300 ch.bafu.sturm-staudruck_50 ch.bafu.trockenheitswarnkarte ch.bag.radonkarte Protected sites Protected sites 166 ch.bafu.alpweiden-herdenschutzhunde ch.bafu.amphibienwanderung-verkehrskonflikte ch.bafu.auen-ausserhalb_bundesinventar ch.bafu.auen-ausserhalb_bundesinventar_alpin ch.bafu.bundesinventare-amphibien ch.bafu.bundesinventare-amphibien_wanderobjekte ch.bafu.bundesinventare-auen ch.bafu.bundesinventare-auen_anhang2 ch.bafu.bundesinventare-bln ch.bafu.bundesinventare-flachmoore ch.bafu.bundesinventare-hochmoore ch.bafu.bundesinventare-jagdbanngebiete ch.bafu.bundesinventare-moorlandschaften ch.bafu.bundesinventare-trockenwiesen_trockenweiden ch.bafu.bundesinventare-trockenwiesen_trockenweiden_anhang2 ch.bafu.bundesinventare-vogelreservate ch.bafu.grundwasserkoerper ch.bafu.lebensraumkarte-schweiz ch.bafu.lebensraumkarte-schweiz_gehoelze ch.bafu.schutzgebiete-paerke_nationaler_bedeutung ch.bafu.schutzgebiete-paerke_nationaler_bedeutung_perimeter ch.bafu.schutzgebiete-ramsar ch.bafu.schutzgebiete-schweizerischer_nationalpark ch.bafu.tranquillity-gebiete ch.bafu.tranquillity-karte ch.bafu.unesco-weltnaturerbe ch.bafu.waldreservate ch.bafu.wrz-jagdbanngebiete_select ch.bafu.wrz-wildruhezonen_portal ch.bak.schutzgebiete-unesco_weltkulturerbe ch.pronatura.naturschutzgebiete ch.swisstopo.geologie-geotope Soil Soil 205 ch.agroscope.feuchtflaechenpotential-kulturlandschaft ch.bafu.erosion-gruenland_bodenabtrag_apr ch.bafu.erosion-gruenland_bodenabtrag_aug ch.bafu.erosion-gruenland_bodenabtrag_dez ch.bafu.erosion-gruenland_bodenabtrag_feb ch.bafu.erosion-gruenland_bodenabtrag_jan ch.bafu.erosion-gruenland_bodenabtrag_jul ch.bafu.erosion-gruenland_bodenabtrag_jun ch.bafu.erosion-gruenland_bodenabtrag_mai ch.bafu.erosion-gruenland_bodenabtrag_mrz ch.bafu.erosion-gruenland_bodenabtrag_nov ch.bafu.erosion-gruenland_bodenabtrag_okt ch.bafu.erosion-gruenland_bodenabtrag_sep ch.bafu.geochemischer-bodenatlas_schweiz_antimon ch.bafu.geochemischer-bodenatlas_schweiz_arsen ch.bafu.geochemischer-bodenatlas_schweiz_blei ch.bafu.geochemischer-bodenatlas_schweiz_cadmium ch.bafu.geochemischer-bodenatlas_schweiz_calcium ch.bafu.geochemischer-bodenatlas_schweiz_chrom ch.bafu.geochemischer-bodenatlas_schweiz_cobalt ch.bafu.geochemischer-bodenatlas_schweiz_eisen ch.bafu.geochemischer-bodenatlas_schweiz_kupfer ch.bafu.geochemischer-bodenatlas_schweiz_magnesium ch.bafu.geochemischer-bodenatlas_schweiz_mangan ch.bafu.geochemischer-bodenatlas_schweiz_molybdaen ch.bafu.geochemischer-bodenatlas_schweiz_natrium ch.bafu.geochemischer-bodenatlas_schweiz_nickel ch.bafu.geochemischer-bodenatlas_schweiz_quecksilber ch.bafu.geochemischer-bodenatlas_schweiz_schwefel ch.bafu.geochemischer-bodenatlas_schweiz_thallium ch.bafu.geochemischer-bodenatlas_schweiz_uran ch.bafu.geochemischer-bodenatlas_schweiz_vanadium ch.bafu.geochemischer-bodenatlas_schweiz_zink ch.bafu.niederschlagserosivitaet-apr ch.bafu.niederschlagserosivitaet-aug ch.bafu.niederschlagserosivitaet-dez ch.bafu.niederschlagserosivitaet-feb ch.bafu.niederschlagserosivitaet-jan ch.bafu.niederschlagserosivitaet-jul ch.bafu.niederschlagserosivitaet-jun ch.bafu.niederschlagserosivitaet-mai ch.bafu.niederschlagserosivitaet-mrz ch.bafu.niederschlagserosivitaet-nov ch.bafu.niederschlagserosivitaet-okt ch.bafu.niederschlagserosivitaet-sep ch.blw.bodeneignung-gruendigkeit ch.blw.bodeneignung-kulturland ch.blw.bodeneignung-kulturtyp ch.blw.bodeneignung-naehrstoffspeichervermoegen ch.blw.bodeneignung-skelettgehalt ch.blw.bodeneignung-vernaessung ch.blw.bodeneignung-wasserdurchlaessigkeit ch.blw.bodeneignung-wasserspeichervermoegen ch.blw.erosion ch.blw.erosion-fliesswegkarte ch.blw.erosion-quantitativ ch.blw.feldblockkarte ch.blw.gewaesseranschlusskarte ch.blw.gewaesseranschlusskarte-direkt ch.blw.hang_steillagen ch.blw.steil_terrassenlagen_rebbau Infrastructure and communication Infrastructure and communication 8476ba4befd902379fd779715d5c510f Buildings Buildings 128 ch.baspo.nationales-sportanlagenkonzept ch.bfs.gebaeude_wohnungs_register ch.bfs.volkszaehlung-gebaeudestatistik_gebaeude ch.bfs.volkszaehlung-gebaeudestatistik_wohnungen ch.swisstopo.unterkuenfte-winter ch.swisstopo.vec200-building ch.swisstopo.vec25-gebaeude Utility and governmental services Utility and governmental services 133 ch.armasuisse.natur-landschaft_armee ch.bafu.gewaesserschutz-klaeranlagen_anteilq347 ch.bafu.gewaesserschutz-klaeranlagen_ausbaugroesse ch.bafu.gewaesserschutz-klaeranlagen_reinigungstyp ch.bakom.anbieter-eigenes_festnetz ch.bakom.anschlussart-glasfaser ch.bakom.anschlussart-koaxialkabel ch.bakom.anschlussart-kupferdraht ch.bakom.downlink10 ch.bakom.downlink100 ch.bakom.downlink1000 ch.bakom.downlink30 ch.bakom.downlink300 ch.bakom.downlink500 ch.bakom.mobilnetz-3g ch.bakom.mobilnetz-4g ch.bakom.mobilnetz-5g ch.bakom.notruf ch.bakom.notruf-112_festnetz ch.bakom.notruf-112_mobilnetz ch.bakom.notruf-112_zentral ch.bakom.notruf-117_festnetz ch.bakom.notruf-117_mobilnetz ch.bakom.notruf-117_zentral ch.bakom.notruf-118_festnetz ch.bakom.notruf-118_mobilnetz ch.bakom.notruf-118_zentral ch.bakom.notruf-142_festnetz ch.bakom.notruf-142_mobilnetz ch.bakom.notruf-142_zentral ch.bakom.notruf-143_festnetz ch.bakom.notruf-143_mobilnetz ch.bakom.notruf-143_zentral ch.bakom.notruf-144_festnetz ch.bakom.notruf-144_mobilnetz ch.bakom.notruf-144_zentral ch.bakom.notruf-145_festnetz ch.bakom.notruf-145_mobilnetz ch.bakom.notruf-145_zentral ch.bakom.notruf-147_festnetz ch.bakom.notruf-147_mobilnetz ch.bakom.notruf-147_zentral ch.bakom.standorte-mobilfunkanlagen ch.bakom.uplink1 ch.bakom.uplink10 ch.bakom.uplink100 ch.bakom.uplink1000 ch.bakom.versorgungsgebiet-tv ch.bakom.versorgungsgebiet-ukw ch.bfe.energieforschung ch.bfe.kernkraftwerke ch.bfe.rohrleitungen-konsultationsbereiche ch.bfe.solarenergie-eignung-daecher ch.bfe.solarenergie-eignung-fassaden ch.blw.alpprodukte ch.blw.bergprodukte ch.vbs.armee-kriegsdenkmaeler ch.vbs.armeelogistikcenter ch.vbs.grunddispositiv-zeus ch.vbs.ladestationen ch.vbs.logistikraeume-armeelogistikcenter ch.vbs.milairspacechart ch.vbs.panzerverschiebungsrouten ch.vbs.patrouilledesglaciers-a_rennen ch.vbs.patrouilledesglaciers-z_rennen ch.vbs.retablierungsstellen ch.vbs.schiessanzeigen ch.vbs.waldschadenkarte Transport networks Transport networks 109 ch.are.belastung-personenverkehr-bahn ch.are.belastung-personenverkehr-bahn_zukunft ch.are.belastung-personenverkehr-strasse ch.are.belastung-personenverkehr-strasse_zukunft ch.are.erreichbarkeit-miv ch.are.erreichbarkeit-oev ch.are.reisezeit-agglomerationen-miv ch.are.reisezeit-agglomerationen-oev ch.astra.hauptstrassennetz ch.astra.ivs-gelaendekarte ch.astra.ivs-nat ch.astra.ivs-nat_abgrenzungen ch.astra.ivs-nat-verlaeufe ch.astra.ivs-nat_wegbegleiter ch.astra.ivs-reg_loc ch.astra.konsultationsbereiche-nationalstrassen ch.astra.mountainbikeland ch.astra.schneeschuhwanderwege ch.astra.schwerverunfallte-kanton_alkohol ch.astra.schwerverunfallte-kanton_geschwindigkeit ch.astra.schwerverunfallte-kanton_jahresvergleich ch.astra.schwerverunfallte-kanton_pro_einwohner ch.astra.skatingland ch.astra.strassenverkehrszaehlung-uebergeordnet ch.astra.unfaelle-personenschaeden_alle ch.astra.unfaelle-personenschaeden_fahrraeder ch.astra.unfaelle-personenschaeden_fussgaenger ch.astra.unfaelle-personenschaeden_getoetete ch.astra.unfaelle-personenschaeden_motorraeder ch.astra.veloland ch.astra.wanderland ch.astra.winterwanderwege ch.bafu.schutzgebiete-aulav_auen ch.bafu.schutzgebiete-aulav_jagdbanngebiete ch.bafu.schutzgebiete-aulav_moorlandschaften ch.bafu.schutzgebiete-aulav_uebrige ch.bafu.schutzgebiete-luftfahrt ch.bav.haltestellen-oev ch.bav.laermbelastung-eisenbahn_festgelegte_emissionen_nacht ch.bav.laermbelastung-eisenbahn_festgelegte_emissionen_tag ch.bav.laermbelastung-eisenbahn_tatsaechliche_emissionen_nacht ch.bav.laermbelastung-eisenbahn_tatsaechliche_emissionen_tag ch.bav.schienennetz ch.bazl.bebaute-gebiete_luftfahrtrecht ch.bazl.einschraenkungen-drohnen ch.bazl.flugplaetze-heliports ch.bazl.gebirgslandeplaetze ch.bazl.intrinsisches-bodenrisiko_sora_100 ch.bazl.intrinsisches-bodenrisiko_sora_200 ch.bazl.landschaftsruhezonen ch.bazl.luftfahrtkarten-icao ch.bazl.luftraeume-fluginformationsgebiet ch.bazl.luftraeume-fluginformationszonen ch.bazl.luftraeume-kontrollbezirke ch.bazl.luftraeume-kontrollzonen ch.bazl.luftraeume-nahkontrollbezirke ch.bazl.segelflugkarte ch.bazl.spitallandeplaetze ch.bazl.uas-aktivitaetszonen ch.bazl.wohngebiete-aulav ch.swisstopo.bahnen-winter ch.swisstopo-karto.schneeschuhrouten ch.swisstopo-karto.skitouren ch.swisstopo.strassenkarte-200 ch.swisstopo.swisstlm3d-eisenbahnnetz ch.swisstopo.swisstlm3d-strassen ch.swisstopo.swisstlm3d-uebrigerverkehr ch.swisstopo.swisstlm3d-wanderwege ch.swisstopo.swisstne-base ch.swisstopo.vec200-transportation-oeffentliche-verkehr ch.swisstopo.vec200-transportation-strassennetz ch.swisstopo.vec25-anlagen ch.vbs.sperr-gefahrenzonenkarte ch.vbs.swissmilpilotschart Area and population Area and population d27a985b1a5325823c26b0987446ce77 Human health and safety Human health and safety 81 ch.bafu.hydrologie-gewaesserzustandsmessstationen ch.bafu.hydrologie-wassertemperaturmessstationen ch.bafu.laerm-bahnlaerm_nacht ch.bafu.laerm-bahnlaerm_tag ch.bafu.laerm-strassenlaerm_nacht ch.bafu.laerm-strassenlaerm_tag ch.bafu.nabelstationen ch.bafu.swissprtr ch.bag.radonkarte ch.bag.zecken-fsme-faelle ch.bag.zecken-fsme-impfung ch.bag.zeckenstichmodell ch.ensi.zonenplan-notfallschutz-kernanlagen Population distribution - demography Population distribution - demography 15156 ch.bak.halteplaetze-jenische_sinti_roma Area management/restriction/regulation zones and reporting units Area management/restriction/regulation zones and reporting units 95 ch.babs.kulturgueter ch.bak.bundesinventar-schuetzenswerte-ortsbilder ch.bak.bundesinventar-schuetzenswerte-ortsbilder_fotos ch.blw.alpprodukte ch.blw.bergprodukte ch.blw.ursprungsbezeichnungen-fleisch ch.blw.ursprungsbezeichnungen-kaese ch.blw.ursprungsbezeichnungen-konditoreiwaren ch.blw.ursprungsbezeichnungen-pflanzen ch.blw.ursprungsbezeichnungen-spirituosen Base data Base data d6476ace005d9b925865c1404a0095e8 Administrative units Administrative units 34 ch.are.agglomerationsverkehr ch.are.alpenkonvention ch.are.wohnungsinventar-zweitwohnungsanteil ch.bfs.arbeitsmarktregionen ch.bfs.generalisierte-grenzen_agglomerationen_g1 ch.swisstopo.hoheitsgrenze-landesvermessung ch.swisstopo.hoheitsgrenzpunkte-landesvermessung ch.swisstopo.swissboundaries3d-bezirk-flaeche.fill ch.swisstopo.swissboundaries3d-gemeinde-flaeche.fill ch.swisstopo.swissboundaries3d-kanton-flaeche.fill ch.swisstopo.swissboundaries3d-land-flaeche.fill ch.swisstopo.vec200-adminboundaries-protectedarea Cadastral parcels Cadastral parcels 47 ch.are.bauzonen ch.kantone.cadastralwebmap-farbe ch.swisstopo-vd.spannungsarme-gebiete Addresses Addresses 44 ch.bfs.gebaeude_wohnungs_register Geographical names Geographical names 16 ch.bafu.klima-co2_ausstoss_gebaeude ch.bfs.gebaeude_wohnungs_register_waermequelle_heizung ch.swisstopo.hiks-dufour ch.swisstopo.hiks-siegfried ch.swisstopo.landeskarte-farbe-10 ch.swisstopo.landeskarte-grau-10 ch.swisstopo.leichte-basiskarte_reliefschattierung ch.swisstopo.lotabweichungen ch.swisstopo.pixelkarte-farbe-pk1000.noscale ch.swisstopo.pixelkarte-farbe-pk100.noscale ch.swisstopo.pixelkarte-farbe-pk200.noscale ch.swisstopo.pixelkarte-farbe-pk25.noscale ch.swisstopo.pixelkarte-farbe-pk500.noscale ch.swisstopo.pixelkarte-farbe-pk50.noscale ch.swisstopo.pixelkarte-farbe-winter ch.swisstopo.swissnames3d ch.swisstopo.swisstlm3d-karte-farbe ch.swisstopo.swisstlm3d-karte-grau ch.swisstopo.vec200-miscellaneous ch.swisstopo.vec200-names-namedlocation ch.swisstopo.zeitreihen Coordinate reference systems Coordinate reference systems 2 ch.swisstopo.dreiecksvermaschung ch.swisstopo.fixpunkte-agnes ch.swisstopo.geoidmodell-ch1903 ch.swisstopo.geoidmodell-etrs89 ch.swisstopo.koordinatenaenderung ch.swisstopo.transformationsgenauigkeit ch.swisstopo-vd.spannungsarme-gebiete ch.swisstopo.verschiebungsvektoren-tsp1 ch.swisstopo.verschiebungsvektoren-tsp2 Energy and economy Energy and economy e1925a942335a1e8c4f4802e91677aba Statistical units Statistical units 284 ch.are.agglomerationsverkehr ch.are.wohnungsinventar-zweitwohnungsanteil ch.bfs.erreichbarkeit-apotheken ch.bfs.erreichbarkeit-restaurants ch.bfs.statistische-grundeinheiten_stufe1 ch.bfs.statistische-grundeinheiten_stufe2 ch.blw.milchmarktregionen Energy resources Energy resources 308 ch.bazl.reflektierende-flaechen_flugplaetze ch.bfe.biomasse-nicht-verholzt ch.bfe.biomasse-verholzt ch.bfe.energieforschung ch.bfe.erneuerbarheizen ch.bfe.fernwaerme-angebot ch.bfe.fernwaerme-nachfrage_industrie ch.bfe.fernwaerme-nachfrage_wohn_dienstleistungsgebaeude ch.bfe.grundwasserwaermenutzungspotential ch.bfe.kehrichtverbrennungsanlagen ch.bfe.kernkraftwerke ch.bfe.kleinwasserkraftpotentiale ch.bfe.ladebedarfswelt-fahrzeuge ch.bfe.ladebedarfswelt-heimladeverfuegbarkeit_bequem ch.bfe.ladebedarfswelt-heimladeverfuegbarkeit_flexibel ch.bfe.ladebedarfswelt-heimladeverfuegbarkeit_geplant ch.bfe.ladebedarfswelt-ladepunkte_bequem ch.bfe.ladebedarfswelt-ladepunkte_flexibel ch.bfe.ladebedarfswelt-ladepunkte_geplant ch.bfe.ladebedarfswelt-strombedarf ch.bfe.meteorologische-vereisung ch.bfe.solarenergie-eignung-daecher ch.bfe.solarenergie-eignung-fassaden ch.bfe.solarenergie-einstrahlung_0_grad ch.bfe.solarenergie-einstrahlung_30_grad ch.bfe.solarenergie-einstrahlung_75_grad ch.bfe.solarenergie-einstrahlung_90_grad ch.bfe.statistik-wasserkraftanlagen ch.bfe.stauanlagen-bundesaufsicht ch.bfe.windenergieanlagen ch.swisstopo.geologie-geophysik-geothermie ch.swisstopo.vec200-miscellaneous Land use Land use 287 ch.are.bauzonen ch.are.siedlung ch.are.solaranlagen-nutzungsaspekte ch.are.solaranlagen-pruefenswerte_gebiete ch.are.solaranlagen-pruefenswerte_gebiete_vektor ch.are.solaranlagen-schutzinteressen ch.blw.hanglagen-abschwemmung ch.blw.klimaeignung-futterbau ch.blw.klimaeignung-getreidebau ch.blw.klimaeignung-kartoffeln ch.blw.klimaeignung-koernermais ch.blw.klimaeignung-kulturland ch.blw.klimaeignung-spezialkulturen ch.blw.klimaeignung-typ ch.blw.klimaeignung-zwischenfruchtbau ch.blw.niederschlagshaushalt ch.blw.ursprungsbezeichnungen-fleisch ch.blw.ursprungsbezeichnungen-kaese ch.blw.ursprungsbezeichnungen-konditoreiwaren ch.blw.ursprungsbezeichnungen-pflanzen ch.blw.ursprungsbezeichnungen-spirituosen ch.swisstopo.vec25-einzelobjekte Agricultural and aquaculture facilities Agricultural and aquaculture facilities 306 ch.agroscope.fokuskarte-voegel ch.blw.bewaesserungsbeduerftigkeit ch.blw.landwirtschaftliche-nutzungsflaechen