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209 datasets found

  • Risikogebiete Afrikanische Schweinepest

    Amt für Geoinformation Kanton Schwyz
    Agriculture, fisheries, forestry and food, Regions and cities

    Die Afrikanische Schweinepest ist eine Krankheit, welche unter anderem das Hausschwein befällt. Man geht davon aus, dass die Einschleppung der Krankheitserreger über kontaminierte...

    Last updated: September 9, 2020

    • WFS
    • WMS
    • tierkrankheit

  • Waldabstandslinien Gemeinde Feusisberg

    Amt für Geoinformation Kanton Schwyz
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    Waldabstandslinien gemäss §67 PBG "Bauten und Anlagen" haben gegenüber Wäldern einen Mindestabstand von 15 m ab Waldgrenze einzuhalten. Weitergehenden Bestimmungen bzw....

    Last updated: September 28, 2023

    • WMS
    • oreb
    • waldabstand
    • waldgrenze

  • Vegetationshöhenstufen pro Waldregion

    Amt für Geoinformation Kanton Schwyz
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    Die Vegetationshöhenstufen pro Waldregion basieren auf einer geometrischen Verschneidung der Vegetationshöhenstufen mit den Waldregionen. Die Einteilung der beiden Datensätze...

    Last updated: March 8, 2023

    • WFS
    • WMS

  • Krebsgewässer

    Amt für Geoinformation Kanton Schwyz
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    Darstellung der Krebsgewässer und der potentiellen Fischgewässer im Kanton Schwyz, welche im Rahmen des Krebsinventars 2013 erhoben wurden. Die Krebsgewässer zeigen Gewässer mit...

    Last updated: October 25, 2023

    • WFS
    • WMS

  • Flechtenkartierung

    Amt für Geoinformation Kanton Schwyz
    Education, culture and sport, Energy, Agriculture, fisheries, forestry and food, Regions and cities, Environment

    Der Datensatz stellt die Ergebnisse der Flechtenkartierung zur Überwachung der Luftgüte im kanton Schwyz dar. Es werden derweil pro Untersuchungsgebiet die Messresultate zweier...

    Last updated: April 1, 2014

    • WFS
    • WMS
    • lufthygiene
    • immission
    • luftreinhaltung
    • immissionsbelastung
    • luftschadstoff

  • swissEO VHI: state of vegetation health

    Federal Office of Topography swisstopo
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    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...

    Last updated: May 15, 2024

    • HTML
    • WMS
    • SERVICE
    • surface-reflectance
    • fsdi-federal-spatial-data-infrastructure
    • sentinel-2
    • optical
    • satellite-image
    • environmental-monitoring-facilities

  • swissEO VHI: state of forest health

    Federal Office of Topography swisstopo
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    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...

    Last updated: May 15, 2024

    • SERVICE
    • HTML
    • WMS
    • fsdi-federal-spatial-data-infrastructure
    • optical
    • sentinel-2
    • surface-reflectance
    • satellite-image
    • environmental-monitoring-facilities

  • Relief shading of vegetation height model Sentinel NFI

    Federal Office for the Environment FOEN
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    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...

    Last updated: October 31, 2024

    • SERVICE
    • WMS
    • ZIP
    • conservation-and-archiving-planning-aap---confederation
    • official-geodata
    • fise-forest-information-system-for-europe
    • fsdi-federal-spatial-data-infrastructure
    • forest-resource
    • wood
    • fsdi-federal-spatial-data-infrastructure

  • Vegetation height model Lidar NFI

    Federal Office for the Environment FOEN
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    Information on the 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...

    Last updated: October 31, 2024

    • SERVICE
    • WMS
    • HTML
    • conservation-and-archiving-planning-aap---confederation
    • official-geodata
    • fsdi-federal-spatial-data-infrastructure
    • fise-forest-information-system-for-europe
    • wood
    • forest-resource
    • fsdi-federal-spatial-data-infrastructure

  • Vegetation height model Sentinel NFI

    Federal Office for the Environment FOEN
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    Information on the 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...

    Last updated: October 31, 2024

    • SERVICE
    • WMS
    • HTML
    • conservation-and-archiving-planning-aap---confederation
    • official-geodata
    • fsdi-federal-spatial-data-infrastructure
    • fise-forest-information-system-for-europe
    • wood
    • forest-resource
    • fsdi-federal-spatial-data-infrastructure

  • Altitudinal vegetation belts in Switzerland for 2085 with less dry future climate

    Federal Office for the Environment FOEN
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    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...

    Last updated: September 16, 2021

    • SERVICE
    • WMS
    • WMTS
    • conservation-and-archiving-planning-aap---confederation
    • wood
    • forest-ecology
    • forest-resource
    • fsdi-federal-spatial-data-infrastructure

  • Water availability in the soil (site water balance)

    Federal Office for the Environment FOEN
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    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...

    Last updated: February 6, 2019

    • SERVICE
    • WMS
    • WMTS
    • HTML
    • conservation-and-archiving-planning-aap---confederation
    • forest-ecology
    • wood
    • forest-resource
    • fsdi-federal-spatial-data-infrastructure

  • Vegetation height model NFI

    Federal Office for the Environment FOEN
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    Information on the 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...

    Last updated: October 31, 2023

    • SERVICE
    • WMTS
    • HTML
    • WMS
    • API
    • fise-forest-information-system-for-europe
    • conservation-and-archiving-planning-aap---confederation
    • official-geodata
    • fsdi-federal-spatial-data-infrastructure
    • wood
    • forest-resource
    • fsdi-federal-spatial-data-infrastructure

  • Cantons NFI

    Federal Office for the Environment FOEN
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    According to the geometry of the data set, Switzerland is divided into cantons. Basel Stadt and Basel-Landschaft are considered as a single unit.

    Last updated: January 1, 2021

    • SERVICE
    • WMS
    • WMTS
    • API
    • RDF XML
    • official-geodata
    • conservation-and-archiving-planning-aap---confederation
    • forest-resource
    • wood
    • fsdi-federal-spatial-data-infrastructure
    • bio-geographical-regions
    • habitats-and-biotopes
    • species-distribution
    • national

  • Relief shading of vegetation height model NFI

    Federal Office for the Environment FOEN
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    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...

    Last updated: October 31, 2024

    • SERVICE
    • WMTS
    • WMS
    • HTML
    • API
    • conservation-and-archiving-planning-aap---confederation
    • official-geodata
    • fise-forest-information-system-for-europe
    • fsdi-federal-spatial-data-infrastructure
    • forest-resource
    • wood
    • fsdi-federal-spatial-data-infrastructure

  • Forest mix rate NFI

    Federal Office for the Environment FOEN
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    Information on the degree of forest mix rate NFI is modelled using remote sensing methods. Based on the freely available Copernicus (ESA) Sentinel-1 and -2 satellite data (image...

    Last updated: October 31, 2023

    • SERVICE
    • WMS
    • WMTS
    • official-geodata
    • fise-forest-information-system-for-europe
    • conservation-and-archiving-planning-aap---confederation
    • fsdi-federal-spatial-data-infrastructure
    • deciduous-forest
    • mixed-woodland
    • wood
    • forest-resource
    • coniferous-forest
    • fsdi-federal-spatial-data-infrastructure

  • Warning Forest Fire Danger

    Federal Office for the Environment FOEN
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    The FOEN's forest fire danger warning contains the general daily forest fire danger based on meteorological data and the resulting forest fire indices.

    Last updated: November 17, 2022

    • HTML
    • WMS
    • SERVICE
    • API
    • forest-fire
    • wood
    • prevention-of-forest-fires
    • natural-risk
    • land-use
    • fise-forest-information-system-for-europe
    • fsdi-federal-spatial-data-infrastructure

  • Protection forest regions NFI

    Federal Office for the Environment FOEN
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    According to the geometry of the data set, Switzerland is divided into six areas. They represent different forest growth and protective forest conditions.

    Last updated: November 16, 2020

    • SERVICE
    • WMTS
    • ZIP
    • WMS
    • API
    • RDF XML
    • official-geodata
    • conservation-and-archiving-planning-aap---confederation
    • wood
    • forest-resource
    • fsdi-federal-spatial-data-infrastructure

  • Economic regions NFI

    Federal Office for the Environment FOEN
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    Switzerland is divided into fourteen areas according to the geometry of the data set. They represent different forest growth and economic conditions and represent a refinement of...

    Last updated: November 16, 2020

    • SERVICE
    • WMTS
    • ZIP
    • WMS
    • API
    • RDF XML
    • conservation-and-archiving-planning-aap---confederation
    • official-geodata
    • forest-resource
    • wood
    • fsdi-federal-spatial-data-infrastructure

  • Water availability for plants

    Federal Office for the Environment FOEN
    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    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...

    Last updated: February 6, 2019

    • SERVICE
    • WMS
    • WMTS
    • HTML
    • conservation-and-archiving-planning-aap---confederation
    • forest-resource
    • forest-ecology
    • wood
    • fsdi-federal-spatial-data-infrastructure

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