Land Cover 9-Class
This dataset classifies land cover at 10 m spatial resolution, with global spatial coverage annually from 2017 onwards. Pixels are assigned one of 9 land cover classes.
Frameworks
Use cases
- EUDR land cover change detection for commodity deforestation risk
- SBTN natural lands baseline and conversion monitoring
- Land use change analysis for corporate deforestation commitments
- Habitat conversion screening across supply chain sourcing areas
Who uses this
Corporate sustainability teams and sustainability data platform operators use the 9-class annual land cover map as a cost-efficient baseline for monitoring land use change across large geographic footprints from 2017 onwards. The annual temporal resolution makes it well suited to portfolio-scale deforestation monitoring, TNFD land dependency assessments, and SBTN natural lands baselining where field-level resolution is not required.
In this category
Access this dataset
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