7 datasets found

Keywords: forest-resource Political levels: confederation Formats: N/A

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  • Forest ecoregions

    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    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 t...

  • Modelled altitudinal vegetation belts for 2085 with dry future climate

    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 dry future climate. The following altitudinal vegetation ...

  • Forest mix rate NFI

    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...

  • Areas of silver fir

    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    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-mon...

  • Modelled altitudinal vegetation belts for 1975

    Agriculture, fisheries, forestry and food, Regions and cities, Environment

    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:...

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

    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 vegeta...

  • Relief shading of vegetation height model Sentinel NFI

    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 ...

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