The unrealised potential of agroforestry (Processed maps GHA 2021 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 2021. 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.

本数据集是配合论文《农林业在高排放农业商品中的未实现潜力》（The unrealized potential of agroforestry for an emissions-intensive agricultural commodity，Becker 等，《自然·可持续性》（Nature Sustainability），2025年）所载分析研究的更大规模数据集合集的一部分。完整数据集已通过UQ eSpace发布，包含一系列相互关联的记录，每条记录对应研究工作流的不同阶段——从原始影像到处理后的数据产品及分析代码。本子集包含2021年在加纳可可农场采集的无人机影像所生成的未分类点云数据（LAS format）。这些点云为标准摄影测量工作流的产物，但并未直接用于已发表的分析研究中。尽管如此，对于关注替代处理工作流、树木分割或植被结构指标的用户而言，该数据集仍具备较高的应用价值。