Methodology
The dataset includes several spatial layers: • CLC raster (resolution of 20x20 m) • CLC vector (minimum mapping unit 25 hectares and minimum width 100 m). • Change vector (minimum mapping unit 5 hectares) • Change raster (minimum mapping unit 0,5 hectares)
The dataset has been produced in Finnish Environment Institute (SYKE), based on automated interpretation of satellite images and data integration with existing digital map data. The vector dataset was produced from raster data by generalization according to the CORINE 2018 project class definitions.
The dataset has been produced in Finnish Environment Institute (SYKE), based on automated interpretation of satellite images and data integration with existing digital map data. The vector dataset was produced from raster data by generalization according to the CORINE 2018 project class definitions.
Data description
The nomenclature of the vector data has 3 hierarchy levels. The first level classes are: artificial surfaces, agricultural areas, forests and seminatural areas, wetlands and water. The second level has 15 classes and the third level 44 sub-classes. The raster dataset has an additional fourth, national class in some of the sub-classes.
Indicator
Species richness
Method / tool
Impact on biodiversity (in wetlands)
Geographic coverage (details)
Finland