Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networks

Flood susceptibility mapping and assessment using a novel deep learning model combining multilayer perceptron and autoencoder neural networks

Abstract Floods are one of the most destructive natural disasters causing financial damages and casualties every year worldwide. Recently, the combination of data‐driven techniques with remote sensing (RS) and geographical information systems (GIS) has been widely used by researchers for flood susce...

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Bibliographic Details
Main Authors: Mohammad Ahmadlou, A'kif Al‐Fugara, Abdel Rahman Al‐Shabeeb, Aman Arora, Rida Al‐Adamat, Quoc Bao Pham, Nadhir Al‐Ansari, Nguyen Thi Thuy Linh, Hedieh Sajedi
Format: Article
Language:English
Published: Wiley 2021-03-01
Series:Journal of Flood Risk Management
Subjects:
deep learning
flood susceptibility
GIS
mapping
multilayer perceptron
Online Access:https://doi.org/10.1111/jfr3.12683

Internet

https://doi.org/10.1111/jfr3.12683

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