Cecil Earth / Land use & land cover / SBTN Natural Lands
Land use & land cover by WRI

SBTN Natural Lands

This dataset classifies natural and non-natural land cover classes for the year 2020, with global coverage at 30 m spatial resolution. Pixels are assigned one of 21 classes, alongside a binary index indicating whether it is natural or non-natural land.

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

Corporate sustainability teams setting science-based targets for nature use the SBTN Natural Lands map as the foundational layer for SBTN's AR3T framework — distinguishing land that must be protected, managed, or restored. Supply chain analysts use the 21-class natural/non-natural binary to identify conversion risk across sourcing regions. The 2020 global baseline serves as the reference starting point for SBTN-aligned no-conversion and restoration commitments.

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Access this dataset

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

pip install cecil
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