Sample Earth — Tree Crop Reference Dataset — (Colombia, Ghana)

This dataset contains GPS-located land-cover samples that can be used to train and validate AI models that generate detailed, accurate maps, with a focus on coffee and cocoa production systems. The data were collected across Colombia and Ghana through expert interpretation of high-resolution satellite imagery. Each sample is labelled and quality-controlled to represent the land-cover types. The classification scheme includes four main classes: coffee, cocoa, tree crops, and seasonal agriculture.

Data and Resources

Additional Info

Field	Value
ID
GCS Poster
Filebin Poster
Version
Is live dataset
License	https://creativecommons.org/licenses/by-sa/4.0/
Structured data license
Date created
Date published	May 31, 2026
Date modified	June 25, 2026
Languages
Same as	https://source.coop//alliance-bioversity-international-ciat/sample-earth-2026-co-gh
Cite as
Creators	Creator 1 Type Organization ID alliance-bioversity-international-ciat Identifier Name Alliance of Bioversity International and CIAT Email URL https://source.coop/alliance-bioversity-international-ciat
Publishers
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