chaseungjoon/wildfire-korea-episodes-300m
South Korean Wildfire Episodes Dataset (300 m Grid) A geospatial dataset of South Korean wildfire progression combining NASA FIRMS (VIIRS/MODIS) fire detections with static environmental layers (DEM, landcover, slope, NDVI, forest structure, etc.). Tiles are preprocessed into a 300 m spatial grid and segmented into temporal wildfire episodes suitable for reinforcement-learning–based wildfire spread prediction research. Overview This dataset provides a unified… See the full description on the dataset page: https://huggingface.co/datasets/chaseungjoon/wildfire-korea-episodes-300m.
| Author / organization | chaseungjoon |
|---|---|
| License (as declared) | mit |
| Downloads | 238 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 4 December 2025 |
| Last updated at source | 8 December 2025 |
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238 now (+6 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: South Korean Wildfire Episodes Dataset (300 m Grid) A geospatial dataset of South Korean wildfire progression combining NASA FIRMS (VIIRS/MODIS) fire detections with static environmental layers (DEM, landcover, slope, NDVI, forest structure → South Korean Wildfire Episodes Dataset (300 m Grid) A geospatial dataset of South Korean wildfire progression combining NASA FIRMS (VIIRS/MODIS) fire detections with static environmental layers (DEM, landcover, slope, NDVI, forest structure
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