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High resolution, annual cropland and landcover maps for selected African countries

High resolution, annual cropland and landcover maps for selected African countries developed by [Clark University](https://clarku.edu)'s [Agricultural Impacts Research Group](https://agroimpacts.info/) using various machine learning approaches applied to Planet imagery, including field boundary and cultivated frequency maps, as well as multi-class land cover.

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Source details

Licence: [Planet NICFI participant license agreement](https://assets.planet.com/docs/Planet_ParticipantLicenseAgreement_NICFI.pdf)

Evidence quality: 17

Listed in aws-odr public catalogue API on 2026-10-16; relevance/value screened (haiku).

Metadata checked: 2026-10-14T13:20:00.000Z

Evidence

Check upstream coverage, uncertainty and licence before use. Station observations are not forecasts or design levels.