https://github.com/kadyb/ogh2023_hack
Hackathon "Automatic land cover mapping" at OpenGeoHub Summer School 2023
https://github.com/kadyb/ogh2023_hack
classification hackathon land-cover landsat machine-learning mapping
Last synced: 7 months ago
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Hackathon "Automatic land cover mapping" at OpenGeoHub Summer School 2023
- Host: GitHub
- URL: https://github.com/kadyb/ogh2023_hack
- Owner: kadyb
- Created: 2023-07-29T12:47:41.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2023-09-04T20:09:05.000Z (about 2 years ago)
- Last Synced: 2024-06-11T16:07:06.246Z (over 1 year ago)
- Topics: classification, hackathon, land-cover, landsat, machine-learning, mapping
- Language: Jupyter Notebook
- Homepage: https://kadyb.github.io/OGH2023_hack/
- Size: 21 MB
- Stars: 4
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Hackathon "Automatic land cover mapping"
**The hackathon is finished.
The winner is [Maarten Pronk](https://github.com/evetion).
Congratulations!
You can find his notebook in the *solutions* folder.
The final ranking is available on Kaggle.**
-----------------------------
[Presentation](https://kadyb.github.io/OGH2023_hack/Presentation.pdf)
[Tutorial](https://kadyb.github.io/OGH2023_hack/Submission.html)
[Tips](https://kadyb.github.io/OGH2023_hack/Tips)
[Rules](https://kadyb.github.io/OGH2023_hack/Rules)
[**Kaggle (registration)**](https://www.kaggle.com/t/87b91a8de46e42f18af5d86073683dc4):
* [Dataset](https://www.kaggle.com/competitions/ogh2023/data)
* [Submission](https://www.kaggle.com/competitions/ogh2023/submissions)