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

derived data land cover machine learning open data raster sentinel hub

Description

The 10m Annual Land Use Land Cover (LULC) map is produced Impact Observatory, 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.

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Additional info

Additional info

Resolution

10m

Geographical coverage

Global land area

Temporal availability

2017-2023

Update Frequency

Annually, each January

Band Information

NameDescription
lulcMain discrete classification defined in the product documentation.

Custom scripts

Collection of custom scripts for this dataset

License

Provider

Impact Observatory

Managed By

Sentinel Hub

See all datasets managed by Sentinel Hub.

Contact

Resources

  • End point
    services.sentinel-hub.com
    Type
    byoc-0ed26381-7344-4281-b180-66f3da521f75
    collectionId
    0ed26381-7344-4281-b180-66f3da521f75

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