Bias-corrected CCI land cover

land cover

Trend-corrected CCI land cover dataset with annual and global data on per-pixel percentages of 27 classes.

Details

This dataset corrects issues observed in land cover dataset of ESA’s Climate Change Initiative (CCI). The original data maps implausible changes caused by methodological artificats, which often manifest as false, country-wide land cover transitions. We corrected for these anomalies with the support ofannual Vegetation Continuous Fields (VCF) data mapped at a 300-m resolution, which we used to identify and correct erroneous pixels. The output is a bias-corrected land cover dataset with novel class combinations and per-pixel percentages for dominant vegetated classes.

Subdatasets

landCover | land cover classification
content description
value_range TBD
treeCover | Per-pixel percentage of tree cover (%)
content description
value_range 0…100
shortVegetation | Per-pixel percentage of short vegetation (%)
content description
value_range 0…100
nonVegetated | Per-pixel percentage of non-vegetated surfaces (%)
content description
value_range 0…100

masDMT query

# data call without specifying subdataset and resolution
list_data("CCI_ilc")

# data call for specific subdataset 
list_data("CCI_ilc/landCover")

# data call to subdataset with a specific resolution
list_data("CCI_ilc/landCover/300m")