The unrealised potential of agroforestry (Processed maps GHA 2022 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 cocoa farms in Ghana in 2022. Vegetation height was calculated by subtracting the DTM from the DSM, providing spatially explicit estimates of canopy height across surveyed farms.

本数据集为支撑Becker等人2025年发表于《自然·可持续性（Nature Sustainability）》的研究分析的大型数据集集合的一部分，该研究聚焦西非可可农林业的气候减缓潜力。完整数据集通过UQ电子空间（UQ eSpace）发布，以一系列相互关联的记录形式呈现，每条记录对应研究流程的不同阶段——从原始影像到处理后的数据产品与分析代码。本子集包含经处理的无人机衍生地图导出文件，涵盖正射影像镶嵌图（orthomosaics）、数字表面模型（DSM）、数字地形模型（DTM）与植被高度图。这些图层源自2022年在加纳可可农场开展的野外调查中由无人机采集的航空影像。植被高度通过将DSM减去DTM计算得到，可为受访可可农场提供冠层高度的空间显式估算值。