The unrealised potential of agroforestry (Processed maps CIV 2021 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 95 cocoa farms in Côte d’Ivoire in 2022. These farms were surveyed in collaboration with the Sustainable Cocoa Initiative Support Programme (SCISP)and the Sustainable Agricultural Supply Chains Initiative (SASI, formerly INA) of the German Development Agency (GIZ). Vegetation height was calculated by subtracting the DTM from the DSM, providing spatially explicit estimates of canopy height across surveyed farms.本数据集是支撑Becker等人2025年发表于《Nature Sustainability》的研究分析的大型数据集合集的一部分，该研究聚焦西非可可农林复合系统的气候减缓潜力。完整数据集通过UQ eSpace平台发布，包含一系列相互关联的记录，分别对应研究流程的不同阶段——从原始航空影像到处理后的数据产品与分析代码。本子集包含经无人机获取并处理的制图导出文件，涵盖正射影像图（orthomosaics）、数字表面模型（digital surface model, DSM）、数字地形模型（digital terrain model, DTM）以及植被高度图。这些图层均源自2022年在科特迪瓦95座可可农场开展的野外调查中无人机采集的航空影像。本次调查与德国开发署（GIZ, German Development Agency）下属的可持续可可倡议支持计划（Sustainable Cocoa Initiative Support Programme, SCISP）以及可持续农业供应链倡议（Sustainable Agricultural Supply Chains Initiative, SASI，前身为INA）合作完成。植被高度通过将DSM减去DTM计算得出，可为受访可可农场提供空间显式的冠层高度估算结果。