腰果园的远程检测方法：在几内亚比绍利用主动学习结合卫星影像
A Remote Approach to Cashew Orchard Detection: Leveraging Active Learning with Satellite Imagery in Guinea-Bissau
- University of Porto（波尔图大学）
- INESC-TEC（INESC-TEC机构）
- University of Lisbon（里斯本大学）
- CIBIO（CIBIO机构）
- BIOPOLIS（BIOPOLIS机构）
- InBIO Associated Laboratory（InBIO联合实验室）
- CMUP（CMUP机构）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
本研究针对几内亚比绍缺乏全国腰果园地理数据库的问题，基于Sentinel-2卫星影像，采用结合边际的主动学习与机器学习技术，构建了准确率94.0%的全国腰果园10米分辨率地图，相关资源已公开。
AI中文摘要：
腰果生产是几内亚比绍及其他西非国家广泛开展的经济活动，但无管制的腰果生产与区域范围内不断上升的森林砍伐率、生物多样性丧失以及脆弱的经济结构直接相关。目前尚无全国性的数据库用于登记或地理定位腰果园，因此迫切需要通过远程方式绘制腰果园的位置图。近年来，已开发出多种果园检测方法，但这些方法仅在区域层面应用。本研究将区域分析扩展至全国范围，开发了一种基于Sentinel-2卫星影像、可扩展且具成本效益的远程方法，采用机器学习技术自动检测腰果园。研究运用基于边际的主动学习技术，开发出在样本数量和信息丰富度方面均最优的训练集，最终在完全离线的情况下获得了平衡准确率达94.0%的腰果园地图。研究创建了两个数据集和一幅空间分辨率为10米的2021年腰果园地图，这些资源已通过GitHub公开获取。研究结果表明，开展更广泛的腰果园制图是可行的，为该环境应用奠定了新的基础。
英文摘要：
Cashew production is a widespread economic activity in Guinea-Bissau, as well as other countries in West Africa. However, unregulated cashew production can be directly associated with increasing regionwide deforestation rates, biodiversity losses, and a fragile economic structure. There is no nationwide database for listing or georeferencing cashew orchards, so there is a clear need to remotely map their locations. In recent years, multiple methods for detecting orchards have been developed, though they have only been applied on a regional level. This work expands regional analyses to a nationwide scale. It develops a scalable and cost-effective remote approach, based on Sentinel-2 satellite imagery, using Machine Learning techniques to detect cashew orchards automatically. Margin-based Active Learning techniques were employed to develop an optimal training set in terms of the number of points and their informativeness, leading to a cashew map with 94.0% balanced accuracy obtained entirely off-site. We created two datasets and a 2021 cashew map with 10m spatial resolution that are openly accessible through GitHub. The results demonstrate the possibility of a broader cashew orchard mapping, creating a new stepping stone for this environmental application.
