Annual National Land Cover Database
This dataset characterises land cover class, land cover change, impervious surface class, fractional impervious surface (%), and spectral change day of year at 30 m spatial resolution. Coverage is for the conterminous United States annually from 1985 onwards, delivered in Albers Equal Area Conic CRS. Pixels are assigned one of 16 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
Urban planners, infrastructure developers, and ESG analysts focused on US operations use the NLCD's 40-year annual record of land cover change for long-horizon trend analysis. Real estate investment teams use the impervious surface layers to quantify urban expansion and flood risk drivers. Corporate sustainability teams with US manufacturing or logistics footprints use the land cover change layers to document ecosystem impact over extended operational periods for CSRD and TCFD disclosures.
In this category
Access this dataset
Available via the Cecil API and Python SDK. One agreement covers all 40+ datasets.
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