The 10m Annual Land Use Land Cover (LULC) map is produced Impact Observatocy, Microsoft, and Esri collaboratively. The data collection is derived from ESA Sentinel-2 imagery at 10m resolution globaly using Impact Ovservatory's state of the art deep learning AI land classification model which is trained by billions of human-labeled image pixels. There are 9 LULC classes generated by the algorithm, including Built, Crops, Trees, Water, Rangeland, Flooded Vegetation, Snow/Ice, Bare Ground, and Clouds.
Global land area
2017, 2018, 2019, 2020, 2021
Annually, each January
|lulc||Main discrete classification defined in the product documentation.|
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