Skip to content

Latest commit

 

History

History
29 lines (25 loc) · 933 Bytes

README.md

File metadata and controls

29 lines (25 loc) · 933 Bytes
Raw

CH4Net 🛰️

A fast, simple model for detection of methane plumes. For more information see our paper at https://egusphere.copernicus.org/preprints/2023/egusphere-2023-563/

Data

Data are available from zenodo at https://zenodo.org/deposit/8267966.

Training

To train CH4Net with all sentinel-2 bands as predictors

python3 train.py 12 {output directory}

To train CH4Net with only bands 11 and 12 as predictors

python3 train.py 2 {output directory}

Reference

@article{vaughan2023ch4net,
  title={CH4Net: a deep learning model for monitoring methane super-emitters with Sentinel-2 imagery},
  author={Vaughan, Anna and Mateo-Garc{\'\i}a, Gonzalo and G{\'o}mez-Chova, Luis and R{\uu}{\v{z}}i{\v{c}}ka, V{\'\i}t and Guanter, Luis and Irakulis-Loitxate, Itziar},
  journal={EGUsphere},
  volume={2023},
  pages={1--17},
  year={2023},
  publisher={Copernicus Publications G{\"o}ttingen, Germany}
}