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Vegetation height model Lidar 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...
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Vegetation height model Sentinel 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...
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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...
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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 ...
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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 ...