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Altitudinal vegetation belts in Switzerland for 2085 with less dry future cli...
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...
- SERVICE
- WMS
- WMTS
- ZIP
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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:...
- SERVICE
- WMS
- WMTS
- ZIP
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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 ...
- SERVICE
- WMS
- WMTS
- ZIP
-
Water availability for plants
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 evap...
- SERVICE
- WMS
- WMTS
- HTML
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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...
- SERVICE
- WMS
- WMTS
- ZIP
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Relief shading of vegetation height model 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 ...
- SERVICE
- WMTS
- WMS
- API
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Vegetation height model NFI
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 aer...
- SERVICE
- WMTS
- WMS
- API
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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...
- SERVICE
- WMS
- WMTS
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Forest fire prevention measures of the cantons
Agriculture, fisheries, forestry and food, Regions and cities, Environment
Contains the forest fire prevention measures currently in force in the cantons.
- HTML
- WMS
- SERVICE
- API
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Warning Forest Fire Danger
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.
- HTML
- WMS
- SERVICE
- API
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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...
- SERVICE
- WMS
- WMTS
- ZIP
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Water availability in the soil (site water balance)
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. Th...
- SERVICE
- WMS
- WMTS
- HTML
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Protection forest regions NFI
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.
- SERVICE
- WMTS
- ZIP
- WMS
- API
- RDF XML
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Cantons NFI
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.
- SERVICE
- WMS
- WMTS
- API
- RDF XML
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Production regions NFI
Agriculture, fisheries, forestry and food, Regions and cities, Environment
According to the geometry of the data set, Switzerland is divided into five areas, namely Jura, Central Plateau, Pre-Alps, Alps, and the southern side of the Alps. They represen...
- SERVICE
- WMTS
- ZIP
- WMS
- API
- RDF XML
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Economic regions NFI
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 o...
- SERVICE
- WMTS
- ZIP
- WMS
- API
- RDF XML
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Land use statistics - Forest mixture ratio 1990
Regions and cities, Environment
In 1996, as part of the project "Forest differentiation using digital satellite imagery", two datasets covering the whole of Switzerland were created on the basis of Landsat TM ...
- SERVICE
- WMS
- WMTS
- HTML
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swissTLMRegio Landcover
Regions and cities, Environment
The topic Landcover describes the topographic land cover. It consists of one feature class. The polygons build up a surface network, where gaps and overlays (according to the ov...
- SERVICE
- WMS
- WMTS
- API
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swissTLM3D Forest
Regions and cities, Environment
swissTLM3D Forest contains the forested areas of Switzerland and the Principality of Liechtenstein. It is part of the dataset swissTLM3D. With a high accuracy and the incorporat...
- SERVICE
- WMS
- WMTS
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swissTLM3D Forest
Regions and cities, Environment
swissTLM3D Forest contains the forested areas of Switzerland and the Principality of Liechtenstein. It is part of the dataset swissTLM3D. With a high accuracy and the incorporat...
- SERVICE
- WMS
- WMTS
-
Altitudinal vegetation belts in Switzerland for 2085 with less dry future cli...
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...
- SERVICE
- WMS
- WMTS
- ZIP
-
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 ...
- SERVICE
- WMS
- WMTS
- ZIP
-
Water availability for plants
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 evap...
- SERVICE
- WMS
- WMTS
- HTML
-
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...
- SERVICE
- WMS
- WMTS
- ZIP
-
Relief shading of vegetation height model 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 ...
- SERVICE
- WMTS
- WMS
- API