Cecil Earth / Land use & land cover / Cropland Data Layer 10 m
Land use & land cover by USDA

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

EUDR SBTN TNFD CSRD ESRS E4

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

Available via the Cecil API and Python SDK. One agreement covers all 40+ datasets.

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