Description
This dataset classifies the land cover class / habitat type present on the land surface at 10 m spatial resolution. Spatial coverage is national across 45 tropical countries for 2020 and 2024, with annual updates. Pixels are assigned one of 8+ land cover classes, depending on country.
Usage notes
Spatial coverage is currently available for 45 tropical countries (see Variables section for full list) and will expand into new countries. This dataset is complementary to the Land Cover 20 m / 25 m dataset from the same provider. Use of this dataset for EUDR compliance must be made through the ICE CoT system.
Licence
Commercial
Version
1.0
Release date
Coming soon
CRS
EPSG:6933
Update schedule
February for previous year
Provider cost
TBC
Description
Land cover index provides the index of the predicted land cover class for a pixel. Predictions are made using machine learning models trained to predict expert annotated polygons from multiple satellite data sources.
Usage notes
Annotation polygons and model predictions are designed to achieve high accuracy over challenging land cover transitions (e.g. tree crops and natural forest). The dataset employs a minimum of 8 land cover classes, with additional classes (e.g. dense forest, open forest) also being employed for some countries.
Variable category
Land cover class
Variable type
Integer