Sentinel-2 10m land cover time series of the world from 2017-2021

By Impact Observatory

Solution details




This layer displays a global map of land use/land cover (LULC) derived from ESA Sentinel-2 imagery at 10m resolution. Each year is generated from Impact Observatory’s deep learning AI land classification model used a massive training dataset of billions of human-labeled image pixels developed by the National Geographic Society. The global maps were produced by applying this model to the Sentinel-2 scene collection on Microsoft’s Planetary Computer, processing over 400,000 Earth observations per year. The algorithm generates LULC predictions for 9 classes. The 2017-2021 Annual Time Series LULC maps can be accessed in Living Atlas.


Agriculture, Defense, Environmental Management, Highways & Roads, Map, Chart & Data Production, Public Works

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