Project-AgML/woody_plant_encroachment_uav_segmentation

Woody Plant Encroachment Uav Segmentation

2,124 UAV RGB image tiles (256x256) of grassland plots near Foam Lake in the Canadian Prairies, with pixel masks for three encroaching woody species (wolf willow, western snowberry and trembling aspen) and background, released with a study of transformer-based segmentation for early detection of woody plant encroachment. Each tile keeps its plot identifier and the published training/validation split. The dataset contains 2,124 images with pixel-level mask annotations.

This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.

The original train/test/val split has been preserved in the split column.

Citation

@article{pu2025early,
  title={Early detection of woody plant encroachment in Canadian prairies using UAV imagery and transformer-based deep learning},
  author={Pu, Yihan and Lu, Xiaojing and Soubry, Irini and Guo, Xulin},
  journal={Ecological Informatics},
  volume={90},
  pages={103354},
  year={2025},
  publisher={Elsevier}
}

This dataset was reformatted from its original format to match HuggingFace standards.