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project-eucalyptus

Open-source pipelines for satellite-based methane detection. Includes trained segmentation models, a synthetic plume generator, and benchmarking tools for Sentinel-2, Landsat 8/9, and EMIT. For research and non-commercial use.

https://github.com/orbio-earth/project-eucalyptus

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (12.4%) to scientific vocabulary
Last synced: 11 months ago · JSON representation

Repository

Open-source pipelines for satellite-based methane detection. Includes trained segmentation models, a synthetic plume generator, and benchmarking tools for Sentinel-2, Landsat 8/9, and EMIT. For research and non-commercial use.

Basic Info
Statistics
  • Stars: 39
  • Watchers: 1
  • Forks: 4
  • Open Issues: 1
  • Releases: 0
Created about 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.md

Project Eucalyptus

This repository contains - Trained models to detect methane plumes for Sentinel2, Landsat8/9 and EMIT. - Endtoend notebooks covering inference and postprocessing to get from raw imagery to position and emission rates of methane plumes. - Syntheticplume toolkit that injects physically realistic methane signatures into clean scenes for training and stresstesting.

Who is Orbio?

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 teamMaxime 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.

What can I find where?

Running the notebooks

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

Contributing & Questions

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 projects non-commercial licence. Commercial users: see LICENSE or contact info@orbio.earth.

Owner

  • Name: Orbio Earth
  • Login: Orbio-Earth
  • Kind: organization

GitHub Events

Total
  • Watch event: 23
  • Delete event: 5
  • Public event: 1
  • Push event: 8
  • Pull request review event: 1
  • Pull request event: 6
  • Fork event: 2
  • Create event: 5
Last Year
  • Watch event: 23
  • Delete event: 5
  • Public event: 1
  • Push event: 8
  • Pull request review event: 1
  • Pull request event: 6
  • Fork event: 2
  • Create event: 5

Committers

Last synced: 11 months ago

All Time
  • Total Commits: 12
  • Total Committers: 4
  • Avg Commits per committer: 3.0
  • Development Distribution Score (DDS): 0.333
Past Year
  • Commits: 12
  • Committers: 4
  • Avg Commits per committer: 3.0
  • Development Distribution Score (DDS): 0.333
Top Committers
Name Email Commits
Vikram v****1@g****m 8
Tim t****t@p****e 2
Robert Huppertz 6****z 1
Vikram Singh v****m@M****C 1
Committer Domains (Top 20 + Academic)
proton.me: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 1
  • Total pull requests: 9
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 minutes
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 9
  • Average time to close issues: N/A
  • Average time to close pull requests: 3 minutes
  • Issue authors: 1
  • Pull request authors: 2
  • Average comments per issue: 1.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • ItziarIL (1)
Pull Request Authors
  • vikramsg (9)
  • tim-dav (4)
Top Labels
Issue Labels
Pull Request Labels

Dependencies

.github/workflows/mkdocs.yml actions
  • actions/checkout v2 composite
  • mhausenblas/mkdocs-deploy-gh-pages master composite
requirements-dev.txt pypi
  • lxml ==5.4.0 development
  • mkdocs ==1.6.1 development
  • pymdown-extensions ==10.15 development
  • ruff ==0.11.13 development
requirements.txt pypi
  • ipywidgets ==8.1.7
  • jupyterlab ==4.4.3
  • matplotlib ==3.10.3
  • netCDF4 ==1.7.2
  • numba ==0.59.0
  • numpy ==1.26.4
  • pandas ==2.2.3
  • pyarrow ==16.1.0
  • pydantic ==2.10.6
  • pyproj ==3.6.1
  • rasterio ==1.3.10
  • scikit-image ==0.25.1
  • scipy ==1.10.1
  • segmentation_models_pytorch ==0.4.0
  • shapely ==2.0.4
  • torch ==2.7.1
  • torchvision ==0.22.1
  • xarray ==2025.6.0