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        <Abstract>Official data set for `Official directory of building addresses`, ID197, as per the catalogue of basic geodata in accordance with Swiss Federal Law. The official directory of building addresses contains all the official building addresses and is therefore binding for public authorities in Switzerland. All buildings have to present one or more specific addresses. Residential buildings, workplaces and buildings of general public interest must appear in the Official directory of building addresses.It is a collection that provides access to the building addresses of both Switzerland and Liechtenstein.</Abstract>
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        <Abstract>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 &lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-lockergestein_maechtigkeitsmodell&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;thickness model of unconsolidated deposits (TMUD)&lt;/a&gt;, uncertainty estimates and changes compared to previous versions. The full swissBEDROCK dataset can be &lt;a href=&#39;https://www.swisstopo.admin.ch/en/swissbedrock-en&#39; target=&#39;_blank&#39;&gt;downloaded here&lt;/a&gt; or viewed and queried on &lt;a href=&#39;https://viewer.swissgeol.ch/?lon=8.41012&amp;lat=46.83165&amp;elevation=425641&amp;heading=0&amp;pitch=-90&amp;map=ch.swisstopo.pixelkarte-grau&amp;map_transparency=0.00&amp;layers=ch.swisstopo.swissbedrock-geotiff&amp;layers_visibility=true&amp;layers_transparency=0.50&amp;layers_timestamp=&#39; target=&#39;_blank&#39;&gt;viewer.swissgeol.ch&lt;/a&gt; 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 &lt;a href=&#39;https://www.geocat.ch/geonetwork/srv/api/records/f7836146-3f9a-4807-9011-618800409236/attachments/swissBEDROCK_ReleaseNotes_R1.pdf?approved=true&#39; target=&#39;_blank&#39;&gt;release notes&lt;/a&gt; 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 &lt;a href=&#39;https://www.geocat.ch/geonetwork/srv/api/records/f7836146-3f9a-4807-9011-618800409236/attachments/swissBEDROCK_model_description.pdf?approved=true&#39; target=&#39;_blank&#39;&gt;model description&lt;/a&gt;. 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.</Abstract>
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      <Abstract>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 elevation contours of the 100 °C isotherm and the faults at the same elevation. 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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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        <Abstract>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 elevation contours of the 100 °C isotherm and the faults at the same elevation. 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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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      <Abstract>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 elevation contours of the 150 °C isotherm and the faults at the same elevation. 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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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        <Abstract>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 elevation contours of the 60 °C isotherm and the faults at the same elevation. 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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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      <Abstract>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 temperatures on the Top Muschelkalk as well as the elevation of this surface and its faults. 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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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        <Abstract>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 temperatures on the Top Muschelkalk as well as the elevation of this surface and its faults. 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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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      <Abstract>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 temperatures on the Top Upper Malm as well as the elevation of this surface and its faults. 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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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        <Abstract>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 temperatures on the Top Upper Malm as well as the elevation of this surface and its faults. 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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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      <Abstract>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 temperatures on the Top Upper Marine Molasse (OMM) as well as the elevation of this surface and its faults. 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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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        <Abstract>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 temperatures on the Top Upper Marine Molasse (OMM) as well as the elevation of this surface and its faults. 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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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      <Abstract>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.:&lt;ul&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperatur_top_omm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures Top OMM&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperatur_top_omalm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures Top Upper Malm&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperatur_top_muschelkalk&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures Top Muschelkalk&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_500&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures 500 m depth&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_1000&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures 1000 m depth&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_1500&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures 1500 m depth&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_2000&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures 2000 m depth&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_3000&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures 3000 m depth&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_4000&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures 4000 m depth&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-isotherme_60&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Elevation 60 °C isotherm&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-isotherme_100&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Elevation 100 °C isotherm&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-isotherme_150&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Elevation 150 °C Isotherm&lt;/a&gt;&lt;/li&gt; &lt;/ul&gt;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.</Abstract>
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        <Abstract>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.:&lt;ul&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperatur_top_omm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures Top OMM&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperatur_top_omalm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures Top Upper Malm&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperatur_top_muschelkalk&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures Top Muschelkalk&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_500&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures 500 m depth&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_1000&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures 1000 m depth&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_1500&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures 1500 m depth&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_2000&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures 2000 m depth&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_3000&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures 3000 m depth&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturverteilung_4000&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperatures 4000 m depth&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-isotherme_60&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Elevation 60 °C isotherm&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-isotherme_100&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Elevation 100 °C isotherm&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-isotherme_150&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Elevation 150 °C Isotherm&lt;/a&gt;&lt;/li&gt; &lt;/ul&gt;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.</Abstract>
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      <Abstract>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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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        <Abstract>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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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      <Abstract>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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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        <Abstract>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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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      <Abstract>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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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      <Abstract>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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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        <Abstract>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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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      <Abstract>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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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        <Abstract>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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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      <Title>Temperatures 500 m depth</Title>
      <Abstract>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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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        <Abstract>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 &lt;a href=&#39;https://www.geologieportal.ch/en/themes/fundamentals-of-geology/geophysics/seismic-atlas.html&#39; target=&#39;_blank&#39;&gt;Seismic Atlas of the Swiss Molasse Basin (2012)&lt;/a&gt;. 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 &lt;a href=&#39;https://viewer.geomol.ch/webgui/gui2.php&#39; target=&#39;_blank&#39;&gt;GeoMol Viewer&lt;/a&gt;. Please also see the associated `&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol-temperaturmodell_eingangsdaten&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Temperature Model - Data&lt;/a&gt;` map on map.geo.admin.ch.</Abstract>
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      <Abstract>This map depicts a 2D view of the modelled Base `Cenozoic` 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 &lt;a href=&#39;https://viewer.swissgeol.ch/?lon=7.58406&amp;lat=45.38694&amp;elevation=251358&amp;heading=1&amp;pitch=-59&amp;map=ch.swisstopo.pixelkarte-grau&amp;map_transparency=0.90&amp;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&amp;layers_visibility=true%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue&amp;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&#39; target=&#39;_blank&#39;&gt;viewer.swissgeol.ch&lt;/a&gt;. 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 &lt;a href=&#39;https://www.geocat.ch/geonetwork/srv/api/records/b8cacfe8-1af6-419f-bee1-c2d5aba84ad8/attachments/Bericht_Geomol_DE.pdf&#39; target=&#39;_blank&#39;&gt;GeoMol - Geological 3D model of the Swiss Molasse Basin&lt;/a&gt; report contains a detailed documentation of the input data, the methodology and the results, as well as their uncertainties and fields of application. 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.&lt;ul&gt; Further GeoMol map layers: &lt;ul&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_omm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top OMM&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_usm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top USM&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_kreide&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top `Cretaceous`&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_oberer_malm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Upper Malm&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_unterer_malm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Lower Malm&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_dogger&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Dogger&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_lias&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Lias&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_keuper&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Keuper&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_muschelkalk&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Muschelkalk&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_basis_mesozoikum&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Base `Mesozoic`&lt;/a&gt;&lt;/li&gt;</Abstract>
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      <Abstract>This map depicts a 2D view of the modelled Top Muschelkalk 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 &lt;a href=&#39;https://viewer.swissgeol.ch/?lon=7.58406&amp;lat=45.38694&amp;elevation=251358&amp;heading=1&amp;pitch=-59&amp;map=ch.swisstopo.pixelkarte-grau&amp;map_transparency=0.90&amp;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&amp;layers_visibility=true%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue&amp;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&#39; target=&#39;_blank&#39;&gt;viewer.swissgeol.ch&lt;/a&gt;. 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 &lt;a href=&#39;https://www.geocat.ch/geonetwork/srv/api/records/b8cacfe8-1af6-419f-bee1-c2d5aba84ad8/attachments/Bericht_Geomol_DE.pdf&#39; target=&#39;_blank&#39;&gt;GeoMol - Geological 3D model of the Swiss Molasse Basin&lt;/a&gt; report contains a detailed documentation of the input data, the methodology and the results, as well as their uncertainties and fields of application. 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.&lt;ul&gt; Further GeoMol map layers: &lt;ul&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_omm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top OMM&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_usm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top USM&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_basis_kaenozoikum&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Base `Cenozoic`&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_kreide&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top `Cretaceous`&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_oberer_malm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Upper Malm&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_unterer_malm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Lower Malm&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_dogger&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Dogger&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_lias&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Lias&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_keuper&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Keuper&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_basis_mesozoikum&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Base `Mesozoic`&lt;/a&gt;&lt;/li&gt;</Abstract>
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      <Abstract>This map depicts a 2D view of the modelled Top Lower Malm 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 &lt;a href=&#39;https://viewer.swissgeol.ch/?lon=7.58406&amp;lat=45.38694&amp;elevation=251358&amp;heading=1&amp;pitch=-59&amp;map=ch.swisstopo.pixelkarte-grau&amp;map_transparency=0.90&amp;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&amp;layers_visibility=true%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue%2Ctrue&amp;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&#39; target=&#39;_blank&#39;&gt;viewer.swissgeol.ch&lt;/a&gt;. 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 &lt;a href=&#39;https://www.geocat.ch/geonetwork/srv/api/records/b8cacfe8-1af6-419f-bee1-c2d5aba84ad8/attachments/Bericht_Geomol_DE.pdf&#39; target=&#39;_blank&#39;&gt;GeoMol - Geological 3D model of the Swiss Molasse Basin&lt;/a&gt; report contains a detailed documentation of the input data, the methodology and the results, as well as their uncertainties and fields of application. 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.&lt;ul&gt; Further GeoMol map layers: &lt;ul&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_usm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top USM&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_basis_kaenozoikum&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Base `Cenozoic`&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_kreide&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top `Cretaceous`&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_oberer_malm&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Upper Malm&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_dogger&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Dogger&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_lias&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Lias&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_keuper&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Keuper&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_top_muschelkalk&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Top Muschelkalk&lt;/a&gt;&lt;/li&gt; &lt;li&gt;&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-geomol_hoehe_basis_mesozoikum&amp;topic=geol&#39; target=&#39;_blank&#39;&gt;Base `Mesozoic`&lt;/a&gt;&lt;/li&gt;</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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 &lt;a href=&#39;https://sjg.springeropen.com/articles/10.1186/s00015-021-00389-3&#39; target=&#39;_blank&#39;&gt;Alba Zappone &amp; Edi Kissling (2021, Swiss J. Geosciences)&lt;/a&gt;.</Abstract>
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        <Abstract>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).</Abstract>
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        <Abstract>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: &lt;a href=&#39;https://mat-min.ch/de/hartstein&#39; target=&#39;_blank&#39;&gt;www.mat-min.ch&lt;/a&gt;. 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 &lt;a href=&#39;https://api3.geo.admin.ch/featureattachments/ch.swisstopo.geologie-hartsteinvorkommen/pdf/Hard_rock_catalog_2024.pdf&#39; target=&#39;_blank&#39;&gt;Hard rock catalog&lt;/a&gt;. The workflow and methodology used for the compilation of the dataset are described in the &lt;a href=&#39;https://api3.geo.admin.ch/featureattachments/ch.swisstopo.geologie-hartsteinvorkommen/pdf/Hard_rock_tech_doc_2024.pdf&#39; target=&#39;_blank&#39;&gt;Technical documentation&lt;/a&gt; and in &lt;a href=&#39;https://doi.org/10.1016/j.jsg.2023.104865&#39; target=&#39;_blank&#39;&gt;Nibourel et al. (2023)&lt;/a&gt;. The hard rock aggregates production and mining sites are displayed in a dedicated dataset (&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-hartsteinabbau&amp;topic=georessourcen&#39; target=&#39;_blank&#39;&gt;Hard rock aggregates: Production and mining sites&lt;/a&gt;).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.</Abstract>
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      <Abstract>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.&lt;br&gt;&lt;br&gt; References: &lt;ul&gt; &lt;li&gt;Ebert, A., Genoni, O. &amp; 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.&lt;/li&gt; &lt;li&gt;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.&lt;/li&gt; &lt;li&gt;Gruber, M. (2017): Structural investigations of the western Swiss Molasse Basin - From 2D seismic interpretation to a 3D geological model. - PhD Thesis Univ. Fribourg.&lt;/li&gt; &lt;li&gt;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.&lt;/li&gt; &lt;li&gt;Nagra (1997): Geosynthese Wellenberg 1996 - Ergebnisse der Untersuchungsphasen I und II. Nagra Tech. Ber. NTB 96-01.&lt;/li&gt; &lt;li&gt;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.&lt;/li&gt; &lt;li&gt;Roth, P., Naef, H. &amp; Schnellmann, M. (2010): Kompilation und Interpretation der Reflexionsseismik im Tafeljura und Molassebecken der Zentral- und Nordostschweiz. - Nagra Arbeitsber. NAB 10-39.&lt;/li&gt; &lt;li&gt;Sommaruga, A., Eichenberger, U. &amp; Marillier, F. (2012): Seismic Atlas of the Swiss Molasse Basin. - Matér. Géol. Suisse, Géophys. 44.&lt;/li&gt; &lt;/ul&gt;</Abstract>
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        <Abstract>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.&lt;br&gt;&lt;br&gt; References: &lt;ul&gt; &lt;li&gt;Ebert, A., Genoni, O. &amp; 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.&lt;/li&gt; &lt;li&gt;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.&lt;/li&gt; &lt;li&gt;Gruber, M. (2017): Structural investigations of the western Swiss Molasse Basin - From 2D seismic interpretation to a 3D geological model. - PhD Thesis Univ. Fribourg.&lt;/li&gt; &lt;li&gt;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.&lt;/li&gt; &lt;li&gt;Nagra (1997): Geosynthese Wellenberg 1996 - Ergebnisse der Untersuchungsphasen I und II. Nagra Tech. Ber. NTB 96-01.&lt;/li&gt; &lt;li&gt;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.&lt;/li&gt; &lt;li&gt;Roth, P., Naef, H. &amp; Schnellmann, M. (2010): Kompilation und Interpretation der Reflexionsseismik im Tafeljura und Molassebecken der Zentral- und Nordostschweiz. - Nagra Arbeitsber. NAB 10-39.&lt;/li&gt; &lt;li&gt;Sommaruga, A., Eichenberger, U. &amp; Marillier, F. (2012): Seismic Atlas of the Swiss Molasse Basin. - Matér. Géol. Suisse, Géophys. 44.&lt;/li&gt; &lt;/ul&gt;</Abstract>
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      <Abstract>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.</Abstract>
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        <Abstract>The Topographical Map 1:100 000 (Dufour Map) is the first modern official map series of Switzerland. It was produced between 1845 and 1865 with revisions up to 1939. The dataset &#39;Sheet Division of the Dufour Map&#39; shows the perimeter, number and name of each sheet of the map 1:25 000. The sheets with protruding areas on the printed maps are shown by bigger areas than a standard map. The title sheet and the map sheets Fort de l`Ecluse, Rheineck and Bergamo have been merged with a neighbouring map sheet.</Abstract>
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      <Abstract>The Topographische Atlas der Schweiz (Siegfried map) was published over the period from 1870 to 1926 with revisions up to 1939. It was published at 1:25 000 scale for the lowland areas of the Mittelland, the Jura and south Ticino, and at 1:50 000 scale for alpine regions. The dataset &#39;Sheet Division of the Siegfried Map&#39; shows the perimeter, number and name of each sheet of the map. With the historical data visualization tool - called `Journey through Time` - all editions of the map can be viewed interactively, also using the layer `Topographic Atlas of Switzerland (Siegfried Map)`.</Abstract>
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        <Title>Territorial border of Switzerland (national border)</Title>
        <Abstract>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.</Abstract>
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        <Title>Border points of the national border</Title>
        <Abstract>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.</Abstract>
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      <Abstract>SWISSIMAGE 10 cm will be available for the entire area of Switzerland and Liechtenstein from 2020. It also covers a small part of the neighbouring border regions. SWISSIMAGE is produced in 1 km2 tiles. The tiles are numbered based on the coordinates in kilometers of their southwest angle. Alongside the geometric and radiometric quality, the date on which the aerial photographs were taken is of great importance for the use of an orthophoto. Therefore, the flight year is given for each tile. 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.</Abstract>
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        <Title>Division SWISSIMAGE 10 cm Raster</Title>
        <Abstract>SWISSIMAGE 10 cm will be available for the entire area of Switzerland and Liechtenstein from 2020. It also covers a small part of the neighbouring border regions. SWISSIMAGE is produced in 1 km2 tiles. The tiles are numbered based on the coordinates in kilometers of their southwest angle. Alongside the geometric and radiometric quality, the date on which the aerial photographs were taken is of great importance for the use of an orthophoto. Therefore, the flight year is given for each tile. 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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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 &#39;Swiss Map Vector 10&#39; for individual sections of the perimeter.</Abstract>
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        <Abstract>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 &#39;Swiss Map Vector 10&#39; for individual sections of the perimeter.</Abstract>
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        <Abstract>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 &#39;&lt;a href=&#39;https://map.geo.admin.ch/?lang=en&amp;topic=ech&amp;bgLayer=ch.swisstopo.pixelkarte-farbe&amp;layers=ch.swisstopo.pixelkarte-pk50.metadata&#39; target=&#39;_blank&#39;&gt;Division national map 50 Raster&lt;/a&gt;&#39;.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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..</Abstract>
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      <Title>Division national map 100 Raster</Title>
      <Abstract>Swiss Map Raster 100 is the digital National Map of Switzerland at a scale of 1:100,000 in raster format.The Division Swiss Map Raster 100 shows the perimeter, number and name of each sheet of the map. The perimeter corresponds to that of a standard sheet of a printed map. The protruding areas on the printed maps (for example, the eastern part of sheet 39 Flüela Pass) are shown on additional sheets of a standard size, even though only part of these sheets contain information. The Swiss Map Raster is delivered as a georeferenced TIF file (raster format). The map content is separated into individual colour layers with no direct bearing on the individual map elements. The pixel maps are available as a colour combination corresponding to fixed swisstopo standards (508 dpi) or separated as colour layers (binary file 508 dpi). They can be ordered as an individual sheet or as any individually defined section of the map series.</Abstract>
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      <Abstract>Swiss Map Raster 200 is the digital National Map of Switzerland at a scale of 1:200,000 in raster format.The &#39;Division Swiss Map 200&#39; shows the perimeter, number and name of each sheet of the map. The Swiss Map Raster is delivered as a georeferenced TIF file (raster format). The map content is separated into individual colour layers with no direct bearing on the individual map elements. The pixel maps are available as a colour combination corresponding to fixed swisstopo standards (508 dpi) or separated as colour layers (binary file 508 dpi). They can be ordered as an individual sheet or as any individually defined section of the map series.</Abstract>
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        <Abstract>Swiss Map Raster 25 is the digital national map of Switzerland at a scale of 1:25 000 in raster format. The Division &#39;Swiss Map Raster 25&#39; shows the perimeter, number and name of each map sheet. The current status of the map content and any individual additions are shown for each perimeter. The `Time travel` function can be used to determine the past data status of the sheets.The latest Swiss Map Raster can be downloaded as a georeferenced TIF file (raster format) sheet by sheet or as an individual section. They are available as a colour combination (508 dpi) or separated as colour layers (binary file 508 dpi).</Abstract>
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        <Abstract>Map of forest condition based on the VHI (Vegetation Health Index), which reflects the current state of forest in relation to historical data 1991-2020. The index is based on satellite data (Meteosat, Landsat 5,7,8, and Sentinel-2) of different spatial resolutions, aggregated of ten and thirty metres respectively. The VHI consists of two components: one part (VCI - Vegetation Condition Index) represents the local biophysical conditions of the vegetation, and the other part (TCI - Thermal Condition Index) characterizes the climatic conditions (temperature). Both components depict the current situation in relation to a reference period. The combined VHI is used to assess drought and other disturbances or stress factors— the lower the value, the greater the stress and its impact on vegetation. Values from 100 down to 60 indicate excellent vegetation condition, values up to 50 are good, and values up to 40 are normal. Below 40, the vegetation shows signs of stress, up to 30 it is lightly stressed, up to 20 stressed, up to 10 severely stressed and values below 10 indicate an extremely stressed vegetation condition. The forest area is shown on the map, providing a robust indicator of the regional vegetation conditions. The dataset was developed in collaboration with MeteoSwiss for the federal drought portal.Contains modified Copernicus Sentinel data.</Abstract>
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        <Abstract>Map of vegetation condition based on the VHI (Vegetation Health Index), which reflects the current state of vegetation in relation to historical data 1991-2020. The index is based on satellite data (Meteosat, Landsat 5,7,8, and Sentinel-2) of different spatial resolutions, aggregated to ten and thirty metres respectively. The VHI consists of two components: one part (VCI - Vegetation Condition Index) represents the local biophysical conditions of the vegetation, and the other part (TCI - Thermal Condition Index) characterizes the climatic conditions (temperature). Both components depict the current situation in relation to a reference period. The combined VHI is used to assess drought and other disturbances or stress factors— the lower the value, the greater the stress and its impact on vegetation. Values from 100 down to 60 indicate excellent vegetation condition, values up to 50 are good, and values up to 40 are normal. Below 40, the vegetation shows signs of stress, up to 30 it is lightly stressed, up to 20 stressed, up to 10 severely stressed and values below 10 indicate an extremely stressed vegetation condition. The entire vegetation area is shown on the map view to provide a complete overview of the regional vegetation status. The dataset was developed in collaboration with MeteoSwiss for the federal drought portal.Contains modified Copernicus Sentinel data.</Abstract>
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      <Abstract>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.</Abstract>
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        <Abstract>technical sub layer, please use the group instead ch.swisstopo.swissimage-product</Abstract>
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        <Abstract>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 &amp; R. Olivier, 1979. New edition: R. Olivier, B. Dumont &amp; E. Klingelé, 2008.</Abstract>
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        <Abstract>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 &amp; P.-A. Schnegg, 1979 (explanatory text on the back of the map). Vector map: 2001.</Abstract>
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        <Abstract>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: &lt;a href=&#39;https://www.geocat.ch/geonetwork/srv/api/records/2d8174b2-8c4a-44ea-b470-cb3f216b90d1/attachments/Beitrag_GP_030_Medici-Rybach.pdf?approved=true&#39; target=&#39;_blank&#39;&gt;F. MEDICI &amp; L. RYBACH, Geothermal map of Switzerland 1995 (heat flow density), Contributions to the Geology of Switzerland, Geophysical Series, No. GP-30&lt;/a&gt;.</Abstract>
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        <Abstract>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).</Abstract>
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        <Abstract>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).</Abstract>
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        <Abstract>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 &#39; 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: &#39;Municipal boundaries: time series since 1850s&#39; 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.</Abstract>
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        <Title>Cantonal boundaries</Title>
        <Abstract>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.</Abstract>
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        <Title>National boundaries</Title>
        <Abstract>swissBOUNDARIES national boundaries constitute the borders of Switzerland and the principality of Liechtenstein. swissBOUNDARIES3D national boundaries is a derivate of the parent dataset swissBOUNDARIES3D.</Abstract>
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        <Title>National Map 1:1 million</Title>
        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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      <Abstract>Official dataset for `official directory of streets`, ID196, as per the catalogue of basic geodata in accordance with Swiss Federal Law. The official directory of streets includes all of the street names that have been officially declared in the Swiss Federal Register of Buildings and Dwellings (RBD). Responsibility for the completeness of the names in the official index of streets is governed by cantonal provisions.It is a collection that provides access to the building addresses of both Switzerland and Liechtenstein.</Abstract>
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        <Abstract>Official dataset for `official directory of streets`, ID196, as per the catalogue of basic geodata in accordance with Swiss Federal Law. The official directory of streets includes all of the street names that have been officially declared in the Swiss Federal Register of Buildings and Dwellings (RBD). Responsibility for the completeness of the names in the official index of streets is governed by cantonal provisions.It is a collection that provides access to the building addresses of both Switzerland and Liechtenstein.</Abstract>
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        <Abstract>This dataset shows the extraction and production sites of crushed-rock aggregates in Switzerland (in operation or decommissioned). Together with natural, uncrushed-rock aggregates (e.g. round gravel), crushed-rock aggregates are the most extracted and used construction raw material in Switzerland and worldwide (they are used in particular for the production of concrete). Given their importance for the national transportation infrastructure, the production and mining sites of hard rock aggregates are displayed in a dedicated dataset (&lt;a href=&#39;https://map.geo.admin.ch/?layers=ch.swisstopo.geologie-hartsteinabbau&amp;topic=georessourcen&#39; target=&#39;_blank&#39;&gt;Hartstein: Produktions- und Abbaustandorte&lt;/a&gt;).</Abstract>
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        <Abstract>Metallic raw materials are resources of economic value that are typically sourced from metal-bearing minerals. This dataset shows the sites where metallic raw materials have been located or mined in the past in Switzerland. Currently, no metallic raw materials are commercially exploited. Because of their specific chemical, electrical, or magnetic properties, metallic raw materials are used in various industrial production processes. Examples include the production of metal alloys, semiconductors (chips), strong permanent magnets, high-performance energy storage systems and other high-tech components. Some metallic raw materials are currently classified as Critical Raw Materials (CRMs) in the &lt;a href=&#39;https://eur-lex.europa.eu/eli/reg/2024/1252/oj/eng&#39; target=&#39;_blank&#39;&gt;European Union&lt;/a&gt; and some are &lt;a href=&#39;https://api3.geo.admin.ch/featureattachments/ch.swisstopo.geologie-rohstoffe-industrieminerale/pdf/IRENA_NUPI_2024_Ranking_critical_materials_for_the_energy%20transition.pdf&#39; target=&#39;_blank&#39;&gt;considered absolutely essential&lt;/a&gt; for the energy transition. Several sites listed in this dataset indicate a mineralization that may contain one or more critical raw materials. The concentration and volume of these mineralizations are essentially unknown or insignificant. Based on current knowledge, it does not appear feasible to exploit these occurrences commercially. Users are invited to consult the report &lt;a href=&#39; https://www.aramis.admin.ch/Texte/?ProjectID=57845&#39; target=&#39;_blank&#39;&gt;Critical Raw Materials in Switzerland — A Review&lt;/a&gt; for a more detailed geological overview of the situation regarding CRMs. Other critical raw materials are shown in the &lt;a href=&#39;https://map.geo.admin.ch/#/map?lang=en&amp;center=2617121.4,1182798.62&amp;z=1&amp;topic=georessourcen&amp;layers=ch.swisstopo.geologie-rohstoffe-industrieminerale&amp;bgLayer=ch.swisstopo.pixelkarte-grau&amp;catalogNodes=georessourcen,15162,15165,15164&#39; target=&#39;_blank&#39;&gt;Other industrial minerals&lt;/a&gt; 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. This dataset is periodically updated and does not claim to be exhaustive.</Abstract>
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        <Abstract>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)</Abstract>
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        <Title>Demand for irrigation</Title>
        <Abstract>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.</Abstract>
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        <Name>ch.blw.bodeneignung-gruendigkeit</Name>
        <Title>Root penetration depth</Title>
        <Abstract>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.)</Abstract>
        <KeywordList>
            <Keyword>ch.blw.bodeneignung-gruendigkeit.wms_ows_keywordlist</Keyword>
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        <Name>ch.blw.bodeneignung-kulturland</Name>
        <Title>Aptitude: Cropland</Title>
        <Abstract>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.</Abstract>
        <KeywordList>
            <Keyword>ch.blw.bodeneignung-kulturland.wms_ows_keywordlist</Keyword>
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        <CRS>EPSG:2056</CRS>
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        <Name>ch.blw.bodeneignung-kulturtyp</Name>
        <Title>Aptitude: Crop types</Title>
        <Abstract>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.</Abstract>
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            <Keyword>ch.blw.bodeneignung-kulturtyp.wms_ows_keywordlist</Keyword>
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        <CRS>EPSG:2056</CRS>
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        <Name>ch.blw.bodeneignung-naehrstoffspeichervermoegen</Name>
        <Title>Nutrient storage capacity</Title>
        <Abstract>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).</Abstract>
        <KeywordList>
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        <Name>ch.blw.bodeneignung-skelettgehalt</Name>
        <Title>Stone content</Title>
        <Abstract>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).</Abstract>
        <KeywordList>
            <Keyword>ch.blw.bodeneignung-skelettgehalt.wms_ows_keywordlist</Keyword>
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        <Name>ch.blw.bodeneignung-vernaessung</Name>
        <Title>Waterlogging</Title>
        <Abstract>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).</Abstract>
        <KeywordList>
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        <Name>ch.blw.bodeneignung-wasserdurchlaessigkeit</Name>
        <Title>Permeability</Title>
        <Abstract>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).</Abstract>
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        <Name>ch.blw.bodeneignung-wasserspeichervermoegen</Name>
        <Title>Water storage capacity</Title>
        <Abstract>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).</Abstract>
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        <Name>ch.blw.erosion</Name>
        <Title>Erosion risk crop qualitative</Title>
        <Abstract>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).</Abstract>
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        <Title>Flow-path map</Title>
        <Abstract>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.</Abstract>
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        <Title>Erosion risk crop quantitative</Title>
        <Abstract>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.</Abstract>
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        <Title>Field block map</Title>
        <Abstract>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.</Abstract>
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            <Keyword>ch.blw.feldblockkarte.wms_ows_keywordlist</Keyword>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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 &#39;Convenient&#39;, &#39;Planned&#39; and &#39;Flexible&#39; were designed based on common industry assumptions in the SFOE study &#39;Understanding charging infrastructure 2050&#39; to show the direction in which the charging infrastructure in Switzerland could develop. In the &#39;Convenient&#39; charging world, people mainly charge at home and additionally at fast-charging points.</Abstract>
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        <Abstract>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 &#39;Convenient&#39;, &#39;Planned&#39; and &#39;Flexible&#39; were designed based on common industry assumptions in the SFOE study &#39;Understanding charging infrastructure 2050&#39; to show the direction in which the charging infrastructure in Switzerland could develop. In the &#39;Flexible&#39; charging world, many people cannot charge at home; they charge at various locations where their vehicle is parked - at work or when shopping.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>The Wind Atlas of Switzerland describes the wind conditions at five different heights above the ground: 50, 75, 100, 125 and 150 metres. The data are based on a nation-wide modelling system with a horizontal grid width of 100 metres. The modelled average annual wind speed is depicted in the atlas at each grid point. The classification of wind speeds into categories can be approximated with the aid of Weibull parameters A (scale parameter) and k (shape parameter). It is not possible to directly derive the average wind speed from the Weibull parameters because the result is only an approximation to wind distribution and this cannot be adequately reflected for each location. The wind rose shows the relative frequency of the modelled wind directions. The averaged wind speeds and corresponding Weibull parameters are visible for each sector. The calculation of wind speeds and directions is based on long-term measurements that have been incorporated into the models. Because the measurement points are not available everywhere throughout the country at a suitable density, and inaccuracies can occur in the modelling of wind flows in complex terrain, the results are subject to uncertainties. These range from +/- 0.5 metres per second in the Jura range, +/- 0.7 metres per second in the central plain and +/- 0.5 metres per second in the pre-Alps, to +/- 1.3 metres per second in the Alps. For maps at heights of more than 100 metres above the ground, significantly fewer measurements are available for modelling purposes, and this leads to increased uncertainties in the results. The data have to be regarded as rough estimates of the wind conditions. To assess the wind conditions at a specific location, measurement on site is therefore essential.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>Biogas plants convert organic matter into gas through a fermentation process. The resulting gas mixture is composed mainly of energy-rich methane (CH4) and carbon dioxide (CO2). Electricity, heat and fuel can be obtained from biogas.Switzerland has more than 100 biogas plants. The biogas produced in our country comes exclusively from waste and residues from households, the food industry or agriculture. This energy is therefore sustainable, renewable and CO2 neutral. Biogas can be used directly in a cogeneration plant to produce electricity and heat. It can also be purified into biomethane before being injected into the natural gas network. Biomethane can in turn be used to produce electricity, heat or fuel. The geodata of biogas plants provide information on the current status of biogas plants in Switzerland. Currently, the data is based solely on the list of recipients of feed-in remuneration at cost. The ultimate aim is to be able to show all biogas installations operating in Switzerland, whether they produce electricity and heat on site or feed biogas into the natural gas grid.This information is intended for the general public and is unofficial and non-binding.</Abstract>
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      <Abstract>The wind energy concept is a concept in accordance with Art. 13 of the Swiss Spatial Planning Act (SPA, SR 700). The concept defines both the principal federal government interests which must be taken into account when planning wind energy plants and the main areas with wind-power potential which must be investigated as part of cantonal structural planning. In this way, the wind energy concept increases planning reliability. The Swiss federal government has identified the main areas with wind-power potential, taking into account the high wind energy yields (basic data from the Wind Atlas of Switzerland, www.windatlas.ch), the principal federal government interests and sufficient spatial concentration. The rough analysis, which is subject to some uncertainty, does not take account of any cantonal or municipal interests and does not permit any assertions to be made about the specific feasibility of wind energy plants. The cartographical representation of the areas with potential should not therefore be seen as a positive plan by the federal government or as competition to structural plan entries that have already been approved; neither does it make any assertions beyond a 1:50,000 scale. The cantons are responsible for identifying suitable areas for wind energy use and the associated balancing of interests appropriate to the relevant levels. The geodata from the main areas with potential are not officially binding but are primarily to be considered as the federal government`s basis for cantons which do not yet have any structural plans in place for wind energy or which want to adapt their structural plans accordingly. In the interests of completeness, the map must be consulted in parallel with the content of the wind energy concept and the associated explanatory report.</Abstract>
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        <Abstract>The wind energy concept is a concept in accordance with Art. 13 of the Swiss Spatial Planning Act (SPA, SR 700). The concept defines both the principal federal government interests which must be taken into account when planning wind energy plants and the main areas with wind-power potential which must be investigated as part of cantonal structural planning. In this way, the wind energy concept increases planning reliability. The Swiss federal government has identified the main areas with wind-power potential, taking into account the high wind energy yields (basic data from the Wind Atlas of Switzerland, www.windatlas.ch), the principal federal government interests and sufficient spatial concentration. The rough analysis, which is subject to some uncertainty, does not take account of any cantonal or municipal interests and does not permit any assertions to be made about the specific feasibility of wind energy plants. The cartographical representation of the areas with potential should not therefore be seen as a positive plan by the federal government or as competition to structural plan entries that have already been approved; neither does it make any assertions beyond a 1:50,000 scale. The cantons are responsible for identifying suitable areas for wind energy use and the associated balancing of interests appropriate to the relevant levels. The geodata from the main areas with potential are not officially binding but are primarily to be considered as the federal government`s basis for cantons which do not yet have any structural plans in place for wind energy or which want to adapt their structural plans accordingly. In the interests of completeness, the map must be consulted in parallel with the content of the wind energy concept and the associated explanatory report.</Abstract>
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        <Abstract>The FOCA can specify building lines to safeguard existing or future airport installations. The building lines must correspond to the intended final version and take account of spatial planning and environmental protection considerations. They can be limited vertically. No constructional changes or other measures that contradict the purpose of the building line may be implemented within building lines. This excludes maintenance or measures to eliminate hazards and damaging effects. The FOCA has not yet made use of this tool. As a result, no content and no minimal geodata model are available for this data set. The metadata set serves solely as a description of the Feature Service for the corresponding level in the cantonal PLR-cadastre.</Abstract>
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        <Abstract>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).</Abstract>
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        <Abstract>For aerodromes at which certain noise levels occur, the Swiss environmental legislation (SR 814.41) stipulates that exposure curves have to be produced and reported. This procedure involves the depiction of noise exposure curves in the noise pollution cadastre, which merely takes the form of an inventory of the noise situation and does not have a direct legal impact on the involved real estate owners. Aerodrome operators use this instrument in order to develop action plans to prevent excessive noise exposure, whereas the relevant authorities use it in order to adapt their spatial planning. Noise levels are depicted on topographic maps in the form of curves. These curves indicate the average daily exposure, and in case of small aircraft operations the average daily exposure during an average peak day. Noise exposure curves are produced from calculations based on actual or predicted aircraft movements and the known noise emissions of the various types of aircraft.</Abstract>
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        <Abstract>For aerodromes at which certain noise levels occur, the Swiss environmental legislation (SR 814.41) stipulates that exposure curves have to be produced and reported. This procedure involves the depiction of noise exposure curves in the noise pollution cadastre, which merely takes the form of an inventory of the noise situation and does not have a direct legal impact on the involved real estate owners. Aerodrome operators use this instrument in order to develop action plans to prevent excessive noise exposure, whereas the relevant authorities use it in order to adapt their spatial planning. Noise levels are depicted on topographic maps in the form of curves, which indicate the average daily exposure during an average peak day. These curves are produced from calculations based on actual or predicted aircraft movements and the known noise emissions of the various types of aircraft.</Abstract>
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        <Abstract>For aerodromes at which certain noise levels occur, the Swiss environmental legislation (SR 814.41) stipulates that exposure curves have to be produced and reported. This procedure involves the depiction of noise exposure curves in the noise pollution cadastre, which merely takes the form of an inventory of the noise situation and does not have a direct legal impact on the involved real estate owners. Aerodrome operators use this instrument in order to develop action plans to prevent excessive noise exposure, whereas the relevant authorities use it in order to adapt their spatial planning. Noise levels are depicted on topographic maps in the form of curves, which indicate the exposure resulting from the average operation of aircraft during the applicable night-time period. These curves are produced from calculations based on actual or predicted aircraft movements and the known noise emissions of the various types of aircraft.</Abstract>
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        <Abstract>For aerodromes at which certain noise levels occur, the Swiss environmental legislation (SR 814.41) stipulates that exposure curves have to be produced and reported. This procedure involves the depiction of noise exposure curves in the noise pollution cadastre, which merely takes the form of an inventory of the noise situation and does not have a direct legal impact on the involved real estate owners. Aerodrome operators use this instrument in order to develop action plans to prevent excessive noise exposure, whereas the relevant authorities use it in order to adapt their spatial planning. Noise levels are depicted on topographic maps in the form of curves. These curves indicate the average daily exposure, and in case of small aircraft operations the average daily exposure during an average peak day. Noise exposure curves are produced from calculations based on actual or predicted aircraft movements and the known noise emissions of the various types of aircraft.</Abstract>
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      <Abstract>Air navigation obstacle data are data on the obstacles defined in Article 2 letter k of the Ordinance of 23 November 1994 on Aviation Infrastructure (VIL, SR 748.131.1). Air navigation obstacles are structures and installations (such as antennas, buildings, cables, cranes, cableways, power lines, wind turbines) and vegetation that can hamper, endanger or prevent the operation of aircraft or of air navigation systems. The data are gathered as part of the authorisation requirement under Article 63 VIL, and the registration requirement under Art. 65a VIL. With the exception of vegetation, the present data set includes all permanent and temporary air navigation obstacles with a height of 25 meters or more outside built-up areas (or 40 meters or more in the case of mobile cranes), and in built-up areas, obstacles with a height of 60 meters or more. Safety-relevant obstacles in the vicinity of airfields below 25 / 60 meters are shown in the layer &#39;Aerodrome obstacles &lt; 25 / 60 m&#39;.</Abstract>
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        <Abstract>Air navigation obstacle data are data on the obstacles defined in Article 2 letter k of the Ordinance of 23 November 1994 on Aviation Infrastructure (VIL, SR 748.131.1). Air navigation obstacles are structures and installations (such as antennas, buildings, cables, cranes, cableways, power lines, wind turbines) and vegetation that can hamper, endanger or prevent the operation of aircraft or of air navigation systems. The data are gathered as part of the authorisation requirement under Article 63 VIL, and the registration requirement under Art. 65a VIL. With the exception of vegetation, the present data set includes all permanent and temporary air navigation obstacles with a height of 25 meters or more outside built-up areas (or 40 meters or more in the case of mobile cranes), and in built-up areas, obstacles with a height of 60 meters or more. Safety-relevant obstacles in the vicinity of airfields below 25 / 60 meters are shown in the layer &#39;Aerodrome obstacles &lt; 25 / 60 m&#39;.</Abstract>
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        <Abstract>For each airport, a security zone is to be established, which protects the airspace from obstacles. The FOCA will decide in each case whether a safety zone is necessary for air navigation equipment and flight paths. Authoritative for the establishment of safety zones is the cadastre of obstacle limitation surfaces. The safety zones are represented in a zone map, where the restrictions of property rights on area and height are shown. The approved security zone plans are binding upon publication in the cantonal publications and constitute a public property restriction.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>Habitat protection pursuant to Article 18a of the Federal Act on the Protection of Nature and Cultural Heritage (NHG, SR 451) aims to ensure effective protection for areas of national importance belonging to the most significant habitat types. In 1992, the Federal Inventory of Floodplain Areas of National Importance (Aueninventar), comprising 169 floodplain areas, came into force. From 1995 to 1998, the glacier forefields and alpine alluvial plains of Switzerland were surveyed. In 2001, 52 glacier forefields and 14 alluvial plains were incorporated into the Floodplain Inventory as alpine floodplains of national importance. Between 2003 and 2005, the condition of the alpine floodplains in the inventory was recorded in greater detail. The geodataset documents the raw data from the vegetation survey as well as derived features for specific applications.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>Contains the forest fire prevention measures currently in force in the cantons.</Abstract>
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        <Title>Concentration of Zinc in the soil</Title>
        <Abstract>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 (&lt; 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.</Abstract>
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        <Abstract>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</Abstract>
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        <Abstract>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 biological water status is assessed on the basis of diatom investigations by the diatom module in the Modular Step Procedure (www.modul-stufen-konzept.ch). The assessment system is linked to nutrient parameters such as ammonium, nitrite and total phosphorus. Diatoms are single-cell algae which live in both fresh and salt water and occasionally even on land. They are used as bioindicators of water quality because they occur all year round in all rivers and streams and their reaction to environmental changes is well known.</Abstract>
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        <Abstract>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 biological water status is assessed on the basis of macrophyte investigations by the Canton of Zurich method (www.gewaesserqualitaet.zh.ch/fg_methoden [only available in German]). Macrophytes (aquatic plants) such as vascular plants, mosses and algae detectable with the naked eye record the conditions prevailing in the water due to their immobility and long lifetimes. They indicate the overall environmental status, particularly the hydraulic-structural conditions in the water.</Abstract>
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        <Abstract>. 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 biological water status is assessed on the basis of macrozoobenthos investigations by the macrozoobenthos module in the Modular Stepwise Procedure (www.modul-stufen-konzept.ch). The outcome of anthropogenic interference in the rivers is generally assumed to be reduced biodiversity, which particularly affects some insects. The small invertebrates on the bed of a watercourse are called macrozoobenthos. A large part of the life cycle of these organisms is spent in the water, which makes them suitable bioindicators because they integrate the water status throughout their life span and because their requirements in terms of water quality and habitat are largely well known</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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).</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.&lt;/p&gt;&lt;p&gt; 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. &lt;/p&gt;&lt;p&gt; 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.</Abstract>
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        <Abstract>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. &lt;/p&gt;&lt;p&gt;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. &lt;/p&gt;&lt;p&gt; 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</Abstract>
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        <Abstract>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.&lt;/p&gt;&lt;p&gt;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. &lt;/p&gt;&lt;p&gt; 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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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. &lt;a href=&#39;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&#39; target=&#39;_blank&#39;&gt;Grundwasserkörper der Schweiz - Aqua &amp; Gass&lt;/a&gt;</Abstract>
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        <Abstract>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).</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Title>CLN Exceedance</Title>
        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Title>Nitrogen dioxide NO₂</Title>
        <Abstract>The term &#39;nitrogen oxides&#39; (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.</Abstract>
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        <Abstract>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 &lt; 3 km²(limit of application of the underlying dataset) and &gt;= 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.</Abstract>
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        <Title>Mean discharges in the future</Title>
        <Abstract>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 &#39;Impacts of climate change on Swiss water bodies&#39;). 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.</Abstract>
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        <Title>Red list bryophytes</Title>
        <Abstract>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.</Abstract>
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        <Abstract>technical sub layer, please use the group instead ch.bafu.naqua-grundwasser_nitrat</Abstract>
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        <Title>Groundwater: Nitrate - ch.bafu.naqua-grundwasser_nitrat</Title>
        <Abstract>technical sub layer, please use the group instead ch.bafu.naqua-grundwasser_nitrat</Abstract>
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      <Name>ch.bafu.naqua-grundwasser_voc</Name>
      <Title>Groundwater: VOC</Title>
      <Abstract>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</Abstract>
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        <Title>Groundwater: VOC - ch.bafu.naqua-grundwasser_voc</Title>
        <Abstract>technical sub layer, please use the group instead ch.bafu.naqua-grundwasser_voc</Abstract>
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        <Abstract>technical sub layer, please use the group instead ch.bafu.naqua-grundwasser_voc</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>The &#39;Tranquillity Map of the Swiss Plateau&#39; 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 &#39;tranquillity&#39; value was calculated for each grid cell.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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:&lt;br&gt; - RCP 2.6 (Paris Agreement compliance scenario), with the model combination DMI_HIRHAM_ECEARTH_EUR11 as the projection for slight climate change, &lt;br&gt; - RCP 4.5 (limited mitigation scenario), with the model combination SMHI-RCA_MPIESM_EUR44 as the projection for moderate climate change, &lt;br&gt; - RCP 8.5 (no mitigation scenario) with the model combination CLMCOM-CCLM5_HADGEM_EUR44 as the projection for strong climate change. &lt;br&gt; 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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Title>Forest ecoregions</Title>
        <Abstract>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 &#39;Sustainability and success monitoring in protection forests&#39; (Frehner et al. 2005). Detailed information is available at https://www.gebirgswald.ch/de/nais-download.html In the regions &#39;Northern intermediate Alps free from beech&#39;, &#39;Continental Alps&#39; and &#39;Southern intermediate Alps&#39; beech does not occur, in all other regions it occurs.</Abstract>
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        <Abstract>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 &#39;Sustainability and success monitoring in protection forests&#39; (Frehner et al. 2005). Detailed information is available at https://www.gebirgswald.ch/de/nais-download.html</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.)</Abstract>
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        <Abstract>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.)</Abstract>
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        <Abstract>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).</Abstract>
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        <Title>Water availability for plants</Title>
        <Abstract>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).</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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 &lt;= 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 &gt;= 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.</Abstract>
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        <Abstract>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 &lt;= 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.</Abstract>
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        <Abstract>The &#39;Area outlets&#39; data set is part of the &#39;Topographical catchment areas of Swiss waterbodies&#39; geodata set. It consists of point objects that represent the area outlets for a possible total of some 22,000 combined catchment areas.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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).</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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 &amp; 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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>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.</Abstract>
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        <Abstract>The map of organic soils in Switzerland is an update of the first map published in 2015. It provides an estimate of the distribution of (former) moorland soils that still exist today and are sufficiently humus-rich and deep to meet the criteria for organic soil.&lt;br&gt; The map was produced in four steps: First, soil maps, geological maps, national inventories of fens, raised bogs and transition mires, forest site maps, historical maps and documents were evaluated. Data newly available since 2015 were also included in this update. In a second step, all data sets were harmonised and incorporated into a data model allowing the various data sets to be combined. In a third step, the spatial data sets were overlaid and a rule-based method was used to identify the resulting surfaces as organic soil or not organic soil. In the final step, reliable information on the occurrence of mineral soils was used to delete surfaces for which the evidence of organic soil was considered less reliable. The total area of organic soils (including the `certain` and `less certain` estimates) is 32,702 ha. For many applications, this is the best estimate of the current occurrence of organic soils. The category `only documented in historical sources` refers to areas for which no current relevant information was found - neither in relation to mineral nor organic soils. The category `ambiguously documented` covers areas for which the evidence of organic soils is unclear; it is shown here solely for reasons of consistency with the previous surface estimate from 2015. &lt;br&gt; Due to the heterogeneous nature of the information sources used to create the map, it is not possible to define the scale for which this map is suitable. However, the following recommendation can be made: The map is suitable for use at national and regional levels (e.g. canton or district); it is not suitable for use at parcel level. &lt;br&gt; Two publications describe the methods and updated data sets in detail. It is recommended to read both publications before using the map. Parts of the data are subject to a licence; please refer to the `readme.txt` file in the download folder. &lt;br&gt;&lt;br&gt; Literature &lt;ul&gt; &lt;li&gt; Wüst-Galley, C. and J. Leifeld (2025) `The distribution and (future) use of Switzerland`s organic soils` Mires and Peat 32(4): 1-17, DOI: 10.19189/001c.130819&lt;/li&gt; &lt;li&gt; Wüst-Galley, C., A. Grünig and J. Leifeld (2015) `Locating organic soils for the greenhouse gas inventory` Agroscope Science 26, 100 pp.&lt;/li&gt; &lt;ul&gt;</Abstract>
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        <Abstract>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</Abstract>
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        <Abstract>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</Abstract>
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        <Abstract>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</Abstract>
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        <Abstract>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</Abstract>
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        <Abstract>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</Abstract>
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        <Abstract>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&#39; (Alias: &#39;Terrestrial habitat XXXm&#39; and &#39;Dispersal&#39;), 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</Abstract>
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        <Abstract>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. &lt;br&gt;&lt;br&gt; References: &lt;br&gt; Adde, A., Rey, P. L., Brun, P., Külling, N., Fopp, F., Altermatt, F., Broennimann, O., Lehmann, A., Petitpierre, B., Zimmermann, N. E., Pellissier, L., &amp; 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., &amp; 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., &amp; 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</Abstract>
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        <Abstract>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., &amp; 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, &amp; 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.</Abstract>
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