Cropland Data Layer 10 m
This dataset characterises the land surface into cropland and non-cropland land cover classes at 10 m spatial resolution. Coverage is for the conterminous United States annually from 2024 onwards. Pixels are assigned one of 135 land cover classes and an associated confidence score.
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
Agri-food companies sourcing from the US, agricultural commodity traders, and sustainability analysts with US-heavy supply chains use the 10 m Cropland Data Layer to identify specific crops grown on sourcing parcels annually from 2024. ESG teams use it for precise land use verification and crop rotation tracking. The 135-class granularity and confidence scores are particularly valuable when field-level crop identity must be confirmed for supply chain assurance.
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Access this dataset
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