AI-based forecasting provides a pathway to close the wildfire information gap in underserved regions

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-02
DOI
https://doi.org/10.5281/zenodo.18125665
Primary Topic
Fire effects on ecosystems
Type
article
Field-Weighted Citation Impact
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article

AI-based forecasting provides a pathway to close the wildfire information gap in underserved regions

S. Lee, Yoojin Kang
Zenodo (CERN European Organization for Nuclear Research)
Fire effects on ecosystems
article

AI-based forecasting provides a pathway to close the wildfire information gap in underserved regions

S. Lee, Yoojin Kang
article en

Abstract

No abstract available for this paper.
Zenodo (CERN European Organization for Nuclear Research)
Kookmin University (KR), Ulsan National Institute of Science and Technology (KR)
Climate action
Openalex Percentile: Top 98%
Fire effects on ecosystems
DOIOpen Access PDFOpenAlex
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AI-based forecasting provides a pathway to close the wildfire information gap in underserved regions — S. Lee, Yoojin Kang · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS