EU field boundaries
收藏Zenodo2024-11-28 更新2026-05-26 收录
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https://zenodo.org/doi/10.5281/zenodo.14229033
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资源简介:
A vector dataset of Field Boundaries, automatically delineated from Sentinel-2 satellite imagery from May-June 2022.
Automatic field delineation refers to the process of automatically tracing the boundaries of agricultural parcels from satellite or aerial imagery. We consider an agricultural parcel as a spatially homogeneous land unit used for agricultural purposes, where a single crop is grown. The result of the FD is a set of closed vector polygons marking the extent of each agricultural parcel. Such polygons are the input to a multitude of applications, ranging from the management of agricultural resources, such as the Area Monitoring for the Common Agricultural Policy, to precision farming, to the estimation of damages to crop yield due to natural (e.g. drought, floods), and human-made disasters (e.g. war). Automatic estimation of parcels with high fidelity in a timely manner allows therefore to characterize the changes of agricultural landscapes due to anthropogenic activities, agricultural practices, and climate change consequences.
Additional links
Automatic Field Delineation Blog post
Dataset description on Fiboa
本数据集为农田边界矢量数据集,由2022年5-6月的哨兵-2号(Sentinel-2)卫星影像自动勾画生成。
自动农田边界勾画是指从卫星或航空影像中自动追踪农业地块边界的技术流程。本研究将农业地块定义为用于农业生产、种植单一作物的空间均质土地单元。农田边界勾画的成果为一系列闭合矢量多边形,用于标注每个农业地块的空间范围。此类多边形可作为众多应用场景的输入数据,应用领域涵盖农业资源管理(如欧盟共同农业政策的耕地面积监测)、精准农业,以及针对自然灾害(如干旱、洪涝)和人为灾害(如战争)引发的作物产量损失评估等。及时且高精度地自动完成地块信息的提取与估算,能够有效刻画由人类活动、农业耕作方式及气候变化引发的农业景观变化。
附加链接
自动农田边界勾画博客文章
Fiboa平台数据集说明
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Zenodo创建时间:
2024-11-28



