GlobCover – ESA


Land Cover

22 classes

Represented classes

0: Post-flooding or irrigated croplands

1: Rainfed croplands

2: Mosaic Cropland (50-70%) / Vegetation (grassland, shrubland, forest) (20-50%)

3: Mosaic Vegetation (grassland, shrubland, forest) (50-70%) / Cropland (20-50%)

4: Closed to open (>15%) broadleaved evergreen and/or semi-deciduous forest (>5m)

5: Closed (>40%) broadleaved deciduous forest (>5m)

6: Open (15-40%) broadleaved deciduous forest (>5m)

7: Closed (>40%) needleleaved evergreen forest (>5m)

8: Open (15-40%) needleleaved deciduous or evergreen forest (>5m)

9: Closed to open (>15%) mixed broadleaved and needleleaved forest (>5m)

10: Mosaic Forest/Shrubland (50-70%) / Grassland (20-50%)

11: Mosaic Grassland (50-70%) / Forest/Shrubland (20-50%)

12: Closed to open (>15%) shrubland (<5m)

13: Closed to open (>15%) grassland

14: Sparse (>15%) vegetation (woody vegetation, shrubs, grassland)

15: Closed (>40%) broadleaved forest regularly flooded - Fresh water

16: Closed (>40%) broadleaved semi-deciduous and/or evergreen forest regularly flooded - Saline water

17: Closed to open (>15%) vegetation (grassland, shrubland, woody vegetation) on regularly flooded or waterlogged soil - Fresh, brackish or saline water

18: Artificial surfaces and associated areas (urban areas >50%) GLOBCOVER 2009

19: Bare areas

20: Water bodies

21: Permanent snow and ice

22: Unclassified


The land cover map is derived by an automatic and regionally-tuned classification of a time series of global MERIS FR mosaics for the year 2009. The global land cover map counts 22 land cover classes defined with the United Nations (UN) Land Cover Classification System (LCCS).

European Space Agency (ESA)

Source data

The GlobCover Portal is a service capable of delivering global composites and land cover maps using as input observations from the 300m MERIS sensor on board the ENVISAT satellite mission.

Land Cover Map


The CCI-LC project delivers consistent global Land Cover maps at 300 m spatial resolution on an annual basis from 1992 to 2018.

This dataset’s long-term consistency, yearly updates, and high thematic detail on a global scale is key for climate modellers, while also making it attractive for a multitude of applications such as land accounting, forest monitoring and desertification, in addition to scientific research.

Spatial resolution

Global coverage

300 m spatial resolution

Temporal resolution

Period of observation: