用3米分辨率影像提升小地块边界识别精度，助力精准农业
Fields of the Planet: Field Boundary Mapping Beyond 10m
- 用3米分辨率的PlanetScope影像替代10米级数据，实现更精细的田块边界分割
- 在小于0.5公顷的小地块上，精度指标PQ从5.8提升至15.7，边界误差从18.6米降至7.4米
- 专为小农户设计，适合需要高精度农田地图的农业监测与资源规划场景
田块边界地图支持作物监测、灌溉规划和产量估算，但许多小农户地块仅覆盖几个10米级的哨兵-2影像像素。我们提出Fields of the Planet（FTP），作为Fields of The World（FTW）的3米分辨率PlanetScope配套数据集，包含跨24个国家的133,168个配准后的PlanetScope图像块-时段样本，共享相同的多边形、季节窗口和训练/测试划分。FTP将田块分割评估为地块恢复任务，通过向量化预测后评分全景质量（PQ）、对象F1、按面积分层的PQ及米级匹配边界误差。在相同模型架构和训练流程下，3米影像使PQ从21.0提升至35.5，小于0.5公顷地块的PQ从5.8升至15.7，匹配边界误差由18.6米降至7.4米。
原文摘要 · Abstract (English)
Field-boundary maps support crop monitoring, irrigation planning, and yield estimation, but many smallholder parcels span only a few 10 m Sentinel-2 pixels. We introduce Fields of the Planet (FTP), a 3 m PlanetScope companion to Fields of The World (FTW) that pairs the same polygons, seasonal windows, and train/test splits with 133,168 co-registered PlanetScope patch-window targets across 24 countries. FTP evaluates field delineation as parcel recovery by vectorizing predictions before scoring panoptic quality (PQ), object F1, size-stratified PQ, and meter-scale matched-boundary error. Under matched architectures and training recipes, 3 m imagery raises PQ from 21.0 to 35.5, raises PQ on sub-0.5 ha fields from 5.8 to 15.7, and cuts matched-boundary error from 18.6 m to 7.4 m.
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