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dataset · Global

Land cover classification gridded maps from 1992 to present derived from satellite observations

This dataset provides global maps describing the land surface into 22 classes, which have been defined using the United Nations Food and Agriculture Organization’s (UN FAO) Land Cover Classification System (LCCS). In addition to the land cover (LC) maps, four quality flags are produced to document the reliability of the classification and change detection. In order to ensure continuity, these land cover maps are consistent with the series of global annual LC maps from the 1990s to 2015 produced

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Source details

Licence: other

Evidence quality: 43.4

Listed in cds 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
Land cover class (22 LCCS classes) · Change count · Current pixel state · Observation count · Processed flag · Four quality flags
Coverage docs-verified
Global · 1992 to present
Resolution docs-verified
300 m horizontal; yearly temporal
Update frequency docs-verified
Yearly
Formats docs-verified
NetCDF-4
Access llm-inferred
Free under CC-BY (ESA CCI and VITO licences per docs); Copernicus Climate Data Store login/registration shown on portal

Useful for

Use cases llm-inferred
Land-cover baseline context for UK habitat and BNG assessments at regional scale · Catchment land-cover change screening for runoff and drainage assumptions · Multi-decade land-use change evidence for planning and land accounting reports
Audience llm-inferred
hydrologists · ecologists · GIS analysts · planners · drainage engineers

Limitations

Constraints llm-inferred
300 m grid is coarse for site-scale UK work · Global product, not tuned to UK land cover classes · Uncertainty and some QA checks are marked 'QA Not Passed' on the portal · Processing split across versions 2.0.7 (1992-2015) and 2.1.1 (2016 onward) · Requires Copernicus CDS account to download

Evidence

Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.