The unrealised potential of agroforestry (Processed maps GHA 2022 point clouds)

This dataset is part of a larger collection accompanying the analysis presented in “The unrealized potential of agroforestry for an emissions-intensive agricultural commodity” (Becker et al., Nature Sustainability, 2025). The full dataset has been 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 unclassified point cloud data (LAS format) generated from drone imagery collected across cocoa farms in Ghana in 2022. These point clouds were produced as part of the standard photogrammetric workflow but were not directly used in the published analysis. Nonetheless, they may be valuable for users interested in alternative processing workflows, tree segmentation, or structural vegetation metrics.