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Global land cover data for 2020 at 10-meter spatial resolution, categorizing terrestrial areas into six forest and land-use types. The dataset was developed by Maxim Neumann using a deep learning pipeline trained on over 1.7 million globally distributed samples. It is aligned with FAO and EUDR definitions and distributed as Cloud Optimized GeoTIFFs.
License is CC-BY-4.0. The 23.9 GB size requires significant storage and bandwidth. Data is packaged as zipped UTM grid cell archives in Cloud Optimized GeoTIFF format.