sentinel-hub / eo-learn
Earth observation processing framework for machine learning in Python
Why this job: works in the areas we cover, but does not say which job it does
What it does
The availability of open Earth observation (EO) data through the Copernicus and Landsat programs represents an unprecedented resource for many EO applications, ranging from ocean and land use and land cover monitoring, disaster control, emergency services and humanitarian relief. Given the large amount of high spatial resolution data at high revisit frequency, techniques able to automatically extract complex patterns in such _spatio-temporal_ data are needed.
Get started
brew install graphviz gcc gdal cmake spatialindex proj- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 1,258
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.5.7
- Released 2 years ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 98% closed
- 4 still open
- Pull requests
- 602 merged
- 3 waiting
- Releases
- 45
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
More: languages, topics and project record
Languages
- Python 99%
- HTML 1%
- Dockerfile <1%
- Makefile <1%
Topics
- machine-learning
- eo-data
- eo-research
- python-package
Project record
- JobOther AI tools
- StatusListed
- Commits2,477
- Forks306
- Watching44
- Stars in 28 days+4
- CreatedMay 31, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026