Data
Dominant land cover types 2000
GIS data
Dominant land cover types 2000 (5 & 10 km). Zipped tiff format, raster
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Dominant land cover types 2000 (5 & 10 km). Zipped tiff format, raster
(ZIP archive)
1.74 MB Download file
Methodology
Methodology document for dominant land cover types, pdf format
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Methodology document for dominant land cover types, pdf format
(PDF document)
269.17 KB Download file
Metadata
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Scale of the data set:
- 1:1000000
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Rights:
- EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
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Methodology:
Reclassifying smoothed features into Dominant Land Cover types. The criterion Vn > mean + standard deviation was used to assign dominant character to smoothed features. Vn is the smoothed value of class n in a given cell of the map. A different mean + std dev was computed for each Biogeographic Region. As co-dominances can exist a supplementary criterion is needed in order to give priority to one class in front the others. This hierarchical criterion is based in theoretical assumptions
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Coordinate reference system:
- EPSG:3035
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Owners:
- European Environment Agency (EEA)
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Processors:
- The European Topic Centre on Land Use and Spatial Information
Additional information
A land cover type is dominant in a point when its density value in that point is bigger than a threshold value. When co-dominances exist a supplementary criterion is needed in order to give priority to one class in front the others. The criterion used emphasizes the urban areas. For further information refer to the Methodology document.
Permalinks
- Permalink to this version
- 02D3DB27-4290-4E01-AEB4-DEB2923623E2
- Permalink to latest version
- DAT-50-en
Older versions
Geographic coverage
For references, please go to https://www.eea.europa.eu/data-and-maps/data/dominant-land-cover-types-2000-1 or scan the QR code.
PDF generated on 05 Feb 2023, 01:07 PM
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