A Novel Hybrid Deep-Learning Approach for Flood-Susceptibility Mapping

A Novel Hybrid Deep-Learning Approach for Flood-Susceptibility Mapping

Flood-susceptibility mapping (FSM) is crucial for effective flood prediction and disaster prevention. Traditional methods of modeling flood vulnerability, such as the Analytical Hierarchy Process (AHP), require weights defined by experts, while machine-learning and deep-learning approaches require e...

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Bibliographic Details
Main Authors: Abdelkader Riche, Ammar Drias, Mawloud Guermoui, Tarek Gherib, Tayeb Boulmaiz, Boularbah Souissi, Farid Melgani
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Remote Sensing
Subjects:
FSM
hybrid strategy
physical models
ground truth points
W-Res-U-Net
Online Access:https://www.mdpi.com/2072-4292/16/19/3673

Internet

https://www.mdpi.com/2072-4292/16/19/3673

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