Ephemeral Gully Detection Project

The Ephemeral Gully Detection Project is an innovative initiative aimed at identifying and mapping gully formations using advanced machine learning and remote sensing techniques. The project focuses on automating the detection process to aid environmental conservation and land management efforts.

Major Contributors:

Seyed Mohamad Ali Tousi
Dr. John A. Lory
Dr. G. N. DeSouza

A Zero-Shot Learning Approach for Ephemeral Gully Detection from Remote Sensing using Vision Language Models

View PDF Download Ephemeral Gully Detection Dataset (ZIP)

Copyright & Citation

© 2025 Gully Detection Project. All rights reserved. The dataset is provided for research purposes only and should be properly cited when used.

@inproceedings{tousi2025zero,
    title={A Zero-Shot Learning Approach for Ephemeral Gully Detection from Remote Sensing using Vision Language Models},
    author={Tousi, Seyed Mohamad Ali and Farag, Ramy and Demby's, Jacket and Omotara, Gbenga and Lory, John A and DeSouza, GN},
    booktitle={Proceedings of the Winter Conference on Applications of Computer Vision},
    pages={469--478},
    year={2025}
    }

@misc{tousi2025zeroshotlearningapproachephemeral,
      title={A Zero-Shot Learning Approach for Ephemeral Gully Detection from Remote Sensing using Vision Language Models}, 
      author={Seyed Mohamad Ali Tousi and Ramy Farag and Jacket Demby's and Gbenga Omotara and John A. Lory and G. N. DeSouza},
      year={2025},
      eprint={2503.01169},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2503.01169}, 
}