mlsanityData to 7 Oct 2026

Fields of the Planet: Field Boundary Mapping Beyond 10m

arXiv 2607.04449 ↗First posted 5 Jul 2026cs.CV cs.LGcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 23 of its 37 references that are in the map. First posted on arXiv 5 Jul 2026.

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23 of 37 references.

References · 23

  1. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
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  3. 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networkscited by 6,415
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  11. 2020A survey of loss functions for semantic segmentationcited by 216
  12. 2021Boundary IoU: Improving Object-Centric Image Segmentation Evaluationcited by 186
11 more
  1. 2021Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networkscited by 141
  2. 2024OmniSat: Self-Supervised Modality Fusion for Earth Observationcited by 63
  3. 2017Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networkscited by 24
  4. 2024Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentationcited by 23
  5. 2022Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervisioncited by 21
  6. 2021From parcel to continental scale -- A first European crop type map based on Sentinel-1 and LUCAS Copernicus in-situ observationscited by 10
  7. 2020Polygonal Building Segmentation by Frame Field Learningcited by 7
  8. 2024Generalization Enhancement Strategies to Enable Cross-year Cropland Mapping with Convolutional Neural Networks Trained Using Historical Samplescited by 6
  9. 2025Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagerycited by 5
  10. 2026PRUE: A Practical Recipe for Field Boundary Segmentation at Scalecited by 5
  11. 2024A region-wide, multi-year set of crop field boundary labels for Africacited by 4

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