dataset · Europe
CLMS CLCplus LULUCF Instance Europe 100m yearly V1 (COG)
This dataset refers to the CORINE Land Cover Plus Land Use, Land-Use Change and Forestry Instance (CLCplus LULUCF Instance), an annually updated, pan-European, spatially consistent and seamless geospatial proxy for land use reporting under the LULUCF regulation. The product is delivered as a single raster layer with a spatial resolution of 100 m, derived from multiple pan-European Copernicus Land Monitoring Service (CLMS) high resolution input datasets. The LULUCF Instance is available for the r
Visit source ↗Source details
Licence: proprietary
Evidence quality: 48
Listed in cdse-stac public catalogue API on 2026-10-16; relevance/value screened (haiku).
Metadata checked: 2026-10-14T13:20:00.000Z
What's in it
- Data offered docs-verified
- CLCplus LULUCF Instance land-use raster (single band, 27 classes) · Six LULUCF land-use categories: forest land, grassland, cropland, settlements, wetlands, other lands
- Coverage docs-verified
- Europe (pan-European) · Reference years 2018, 2021, 2022, 2023 (STAC temporal extent 2018-01-01 to 2023-12-31)
- Resolution docs-verified
- 100 m (spatial)
- Update frequency docs-verified
- Annual update cycle from the 2021 product onwards
- Formats docs-verified
- COG (Cloud-Optimized GeoTIFF)
- Access docs-verified
- Licence: proprietary (CLMS Data Policy linked). Data via Copernicus Data Space Ecosystem S3 and HTTPS, with OIDC/S3 credentials required.
Useful for
- Use cases llm-inferred
- Catchment-scale land-use mix (settlements, grassland, forest) as context for runoff and drainage screening · Regional land-use context for nature-based solutions or carbon screening · Pan-European reference for checking national land-use layers against LULUCF classes
- Audience llm-inferred
- GIS analysts · hydrologists · ecologists · planners
Limitations
- Constraints llm-inferred
- Not satellite-derived: built from existing CLMS layers, so it adds no new observations · Reference years are 2018, 2021, 2022, 2023 only, not a full annual series · Proprietary licence: check the CLMS Data Policy before reuse · 100 m cells are too coarse for site-scale FRA or BNG work · Entry lists auth as null, but docs show access needs OIDC/S3 credentials · CREODIAS S3 storage is requester-pays per docs
Evidence
Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.