Land Cover 17-Class
This dataset classifies land cover at 3 m spatial resolution, with global coverage for custom time periods (> 3 months) from 2017 onwards. Pixels are assigned one of 17 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
Precision EUDR compliance teams and sophisticated ESG analysts use the 3 m, 17-class variant where the highest spatial resolution is required — for example, when parcels are small, boundaries are contested, or supply chains include smallholder producers. The additional class granularity helps distinguish land cover types that 10 m products merge, improving accuracy in transition zone detection and reducing false positive deforestation flags.
In this category
Access this dataset
Available via the Cecil API and Python SDK. One agreement covers all 40+ datasets.
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