This repository contains
- Trained models to detect methane plumes for Sentinel‑2, Landsat 8/9 and EMIT.
- End‑to‑end notebooks covering inference and post‑processing to get from raw imagery to position and emission rates of methane plumes.
- Synthetic‑plume toolkit that injects physically realistic methane signatures into clean scenes for training and stress‑testing.
Orbio Earth is a climate-tech company founded in 2021 to turn open satellite data into actionable methane intelligence.
Project Eucalyptus is authored by the Orbio Earth team—Maxime Rischard, Timothy Davis, Zani Fooy, Mahrukh Niazi, Philip Popien, Robert Edwards,, Vikram Singh, Jack Angela, Thomas Edwards, Maria Navarette, Diehl Sillers, Wojciech Adamczyk and Robert Huppertz — with support from external collaborators.
- Detection and Quantification on Sentinel-2
- Detection and Quantification on Landsat 8/9
- Detection and Quantification on EMIT
- Synthetically inserting methane to create training data
The notebooks require python version 3.10.
All necessary dependencies can be installed from requirements.txt.
For example, to install these into a virtual environment:
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
Notebooks can be accessed through jupyter lab, included as a dependency, or through a software of your choice.
jupyter lab
Want to report a bug, suggest a feature, or contribute code? Open an issue or a pull request. For changes, please:
- Keep PRs focused and well-documented
- Follow the existing code style
- Include tests where relevant All contributions are accepted under the project’s non-commercial licence. Commercial users: see LICENSE or contact [email protected].