GIScience & Remote Sensing
Volume 61, 2024 - Issue 1
Research Article
Wildfire susceptibility mapping by incorporating damage proxy maps, differenced normalized burn Ratio, and deep learning algorithms based on sentinel-1/2 data: a case study on Maui Island, Hawaii
Suci Ramayantia Department of Science Education, Kangwon National University, Chuncheon-si, Gangwon-do, Republic of Korea
https://orcid.org/0000-0003-1455-2028View further author information
https://orcid.org/0000-0003-1455-2028View further author information, BongChan Kima Department of Science Education, Kangwon National University, Chuncheon-si, Gangwon-do, Republic of Koreahttps://orcid.org/0000-0001-9327-0306View further author information
https://orcid.org/0000-0001-9327-0306View further author information, Sungjae Parkb Department of Smart Regional Innovation, Kangwon National University, Chuncheon-si, Gangwon-do, Republic of Koreahttps://orcid.org/0000-0002-9583-1821View further author information
https://orcid.org/0000-0002-9583-1821View further author information & Chang-Wook Leea Department of Science Education, Kangwon National University, Chuncheon-si, Gangwon-do, Republic of Korea;b Department of Smart Regional Innovation, Kangwon National University, Chuncheon-si, Gangwon-do, Republic of KoreaCorrespondence[email protected]
https://orcid.org/0000-0001-7235-3225View further author information
https://orcid.org/0000-0001-7235-3225View further author information