Land Cover – CCI/ESA
Parameter
Land Cover
22 classes
Represented classes
0: No Data
1: Cropland rainfed: herbaceous cover
2: Cropland rainfed: tree or shrub cover
3: Cropland irrigated or post-flooding
4: Mosaic cropland (>50%) / natural vegetation (tree, shrub, herbaceous cover) (50%)
5: Mosaic natural vegetation (Tree, shrub, herbaceous cover) (>50%) / cropland (<50%)
6: Tree cover, broadleaved, deciduous, closed to open (>15%),
7: Tree cover, needleleaved, evergreen, closed to open (>15%),
8: Tree cover, needleleaved, deciduous, closed to open (>15%),
9: Tree cover, mixed leaf type (broadleaved and needleleaved),
10: Mosaic tree and shrub (>50%) / herbaceous cover (50%)
11: Mosaic herbaceous cover (>50%) / tree and shrub (<50%), 12: Shrubland
13: Grassland
14: Lichens and mosses
15: Sparse vegetation (tree, shrub, herbaceous cover)
16: Tree cover, flooded, fresh or brakish water,
17: Tree cover, flooded, saline water
18: Shrub or herbaceous cover, flooded, fresh/saline/brakish water,
19: Urban areas
20: Bare areas
21: Water bodies
22: Permanent snow and ice
Description
The CCI-LC project delivers consistent global Land Cover maps at 300 m spatial resolution on an annual basis from 1992 to 2018.
The change detection can find up to 13 different types of change. These datasets were built using a multi-sensor archive made of MERIS FR and RR, AVHRR, SPOTVGT, PROBA-V 1 km and 300 m.
Using an independent validation database developed within GlobCover 2009, a precursor to CCI LC, an overall accuracy value of 71.5% (n = 2329) was estimated for the 2015 LC map.
The LC maps 2016 and 2017 have already been produced using Proba-V imagery, and their quality assessed. Their overall accuracies are of 71.1% (n=1350).
European Space Agency (ESA)
Source data
Description
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:
From 1992 to 2018