chaseungjoon/wildfire-korea-embedded-300m
Wildfire Korea Embedded 300m (16-Channel Environmental Tiles) A geospatial dataset containing 300 m embedded environmental feature tiles for the Korean Peninsula, designed for wildfire spread prediction and reinforcement-learning research. This dataset provides model-ready 16-channel tensors representing static and quasi-static environmental conditions needed for wildfire simulation and RL inference. It is paired with the wildfire episode dataset (wildfire-korea-episodes-300m)… See the full description on the dataset page: https://huggingface.co/datasets/chaseungjoon/wildfire-korea-embedded-30
| Author / organization | chaseungjoon |
|---|---|
| License (as declared) | mit |
| Downloads | 703 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 8 December 2025 |
| Last updated at source | 8 December 2025 |
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Recent changes
- 16 Oct 2026 Description: Wildfire Korea Embedded 300m (16-Channel Environmental Tiles) A geospatial dataset containing 300 m embedded environmental feature tiles for the Korean Peninsula, designed for wildfire spread prediction and reinforcement-learning research. → Wildfire Korea Embedded 300m (16-Channel Environmental Tiles) A geospatial dataset containing 300 m embedded environmental feature tiles for the Korean Peninsula, designed for wildfire spread prediction and reinforcement-learning research.
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