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10m Annual Land Use Land Cover (9-class)

The 10m Annual Land Use Land Cover (LULC) map is collaboratively produced by Impact Observatory, Microsoft, and Esri. The data collection is available globally and derived from ESA Sentinel-2 imagery at 10m resolution, 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.

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