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 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.

View on EO Browser

EO Browser

Additional info

Additional info

Resolution

10m

Geographical coverage

Global land area

Temporal availability

2017, 2018, 2019, 2020, 2021

Update Frequency

Annually, each January

Band Information

NameDescription
lulcMain discrete classification defined in the product documentation.

Custom scripts

Custom scripts for other collections

License

CC BY 4.0

Provider

Impact Observatory

Managed By

Sentinel Hub

See all datasets managed by Sentinel Hub.

Contact

Impact Observatory: hello@impactobservatory.com

Resources

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

Edit this collection entry on GitHub

Home