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wildfire-korea-embedded-300m

Hugging Face dataset chaseungjoon/wildfire-korea-embedded-300m

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What's in it

Data offered docs-verified: DEM-derived slope and aspect · weather features (temperature, humidity, wind speed/direction, pressure, cloud, visibility, dew point, precipitation) · NDVI · forest structure model (FSM) or forest-type one-hot channels · landcover
Coverage docs-verified: Korean Peninsula
Resolution docs-verified: 300 m spatial; temporal resolution not stated
Formats docs-verified: imagefolder (Hugging Face) · 16-channel feature tensor
Access docs-verified: Open: MIT licence, publicly listed on Hugging Face (no auth per ENTRY)

Useful for

Use cases llm-inferred: Model-ready 16-channel environmental inputs for wildfire spread model experiments on Korean Peninsula sites · Fuel and terrain context screening (slope, aspect, NDVI, forest type) for Korean fire-risk studies · Benchmark input layers for reinforcement-learning wildfire simulation research
Audience llm-inferred: ML and reinforcement-learning researchers · GIS analysts · wildfire and environmental modellers

Limitations

Constraints docs-verified: Not intended for operational, real-time fire forecasting without additional validation · Dataset viewer unavailable: server error while post-processing the split rows · Coverage is the Korean Peninsula, not the UK

Licence: mit
Authentication: Unknown — review source docs
GitHub stars: Unknown
Last commit: Unknown
Last successful page check: 14/10/2026
Page health: healthy
Package: Not recorded
Verification: Not independently verified

Provenance & evidence

Verified 2026-10-15 via HF API: exists; 691 downloads/30d, 0 likes.

Metadata observed 14/10/2026 · research sweep: manual-2026-10-15 (Hugging Face datasets)

https://huggingface.co/datasets/chaseungjoon/wildfire-korea-embedded-300m