What is Cropland Data Layer 30 m used for?

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.

Which ESG reporting frameworks use Cropland Data Layer 30 m?

Cropland Data Layer 30 m supports EUDR, SBTN, TNFD, CSRD ESRS E4 compliance and reporting workflows.

Land use & land cover by USDA

Cropland Data Layer 30 m

This dataset characterises the land surface into cropland and non-cropland land cover classes at 30 m spatial resolution. Coverage is for the conterminous United States annually from 2008 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

Agricultural analysts, supply chain due diligence teams, and ESG researchers use the 30 m Cropland Data Layer's long annual record from 2008 to analyse land use trends across US sourcing regions. Commodity traders assess year-over-year crop extent changes. Sustainability teams at food and beverage companies use the historical series to document deforestation-free sourcing claims and track land conversion from native cover to cropland over multi-year windows.

In this category

Access this dataset

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

pip install cecil

Technical documentation → Get API key →

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