Uncertainty-Aware Flood Inundation Mapping With a Bayesian Deep Learning Framework Using SAR Imagery

Climate change-induced extreme rainfall events are driving a rise in flood frequency, posing significant challenges that need to be addressed by decision-makers. To aid in this challenge, Reliable, near-real-time flood extent maps are essential to facilitate disaster evaluation, emergency response,...

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Principais autores:	Mahyar Garshasbi, Hosein Alizadeh, Barat Mojaradi, Motahareh Saadatpour, Erfan Zarei
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Bayesian variational inference (BVI) deep learning flood extent detection synthetic aperture radar (SAR)
Acesso em linha:	https://ieeexplore.ieee.org/document/11165029/
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