CLC2018 English UTF-8 dataset STAC Collection European Environment Agency https://www.eea.europa.eu/en information originator 2026-07-21 ISO 19115:2003/19139 ISO 19139:2007 CORINE Land Cover 2018 (CLC2018), Europe (Raster 100m) 2026-07-21 revision 10.2909/960998c1-1870-4e82-8051-6485205ebbac The Corine Land Cover 2018 (CLC2018) dataset is one of the datasets produced within the CORINE Land Cover Program to capture land cover/ land use status for 2018. The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 thematic classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares. It is provided as 100m raster data here onGoing European Environment Agency https://www.eea.europa.eu/en information originator European Environment Agency https://land.copernicus.eu/en/data-policy information rightsHolder Eurac Research - Institute for Earth Observation http://www.eurac.edu information custodian https://stacspec.org/public/images-original/STAC-01.png Default STAC thumbnail image/png CORINE Land Cover Land Use CLC CLC2018 Europe Copernicus Land Monitoring license proprietary vector English UTF-8 environment -56.50514190170437 72.90613675900903 24.28417701147754 58.952751092326295 true 2018-01-01T00:00:00Z 2018-01-01T00:00:00Z https://stac.eurac.edu/collections/CLC2018 self STAC-collection application/json information https://doi.org/10.2909/960998c1-1870-4e82-8051-6485205ebbac DOI DOI