This repository is dedicated to developing an AI model that predicts the amount of carbon stored in forests using satellite data. The project leverages machine learning techniques to analyze remote sensing data and estimate forest carbon storage efficiently.
active 2025-02-08 → 2025-03-17 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 38 days from 2025-02-08 to 2025-03-17. Pushes: 38 total, peak 11 in a day. Pull requests: 62 total, peak 10 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| TaebinChoe | 100 | 38 | 62 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.