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,GIScience & Remote Sensing

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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
GIScience & Remote Sensing ( IF 6.0 ) Pub Date : 2024-05-14 , DOI: 10.1080/15481603.2024.2353982
Suci Ramayanti ₁ , BongChan Kim ₁ , Sungjae Park ₂ , Chang-Wook Lee _{1,

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Affiliation

Climate change has contributed to the recent increase in wildfire occurrences, vegetation failures, human health risks, physical damage, and economic losses. Wildfire susceptibility mapping is an e...

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