The unrealised potential of agroforestry (Processed maps GHA 2022 High Shade all exports)

This dataset is part of a larger collection supporting the analysis in Becker et al., Nature Sustainability (2025) on the climate mitigation potential of cocoa agroforestry in West Africa. The full dataset is published via UQ eSpace as a series of interlinked records, each representing a different stage of the research workflow—from raw imagery to processed data products and analysis code.

This subset contains processed drone-derived map exports, including orthomosaics, digital surface models (DSM), digital terrain models (DTM), and vegetation height maps. These layers were derived from aerial imagery captured by drones during field surveys conducted across higher shade cocoa farms in Ghana in 2022. These farms were not selected using the original stratified sampling design but were instead targeted specifically for their higher shade levels.

Vegetation height was calculated by subtracting the DTM from the DSM, providing spatially explicit estimates of canopy height across surveyed farms.