Flood Susceptibility Mapping Using SAR Data and Machine Learning Algorithms in a Small Watershed in Northwestern Morocco

Flood Susceptibility Mapping Using SAR Data and Machine Learning Algorithms in a Small Watershed in Northwestern Morocco

Flood susceptibility mapping plays a crucial role in flood risk assessment and management. Accurate identification of areas prone to flooding is essential for implementing effective mitigation measures and informing decision-making processes. In this regard, the present study used high-resolution re...

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Bibliographic Details
Main Authors: Sliman Hitouri, Meriame Mohajane, Meriam Lahsaini, Sk Ajim Ali, Tadesual Asamin Setargie, Gaurav Tripathi, Paola D’Antonio, Suraj Kumar Singh, Antonietta Varasano
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Remote Sensing
Subjects:
flood susceptibility
radar image
random forest
CART
SVM
XGBoost
Online Access:https://www.mdpi.com/2072-4292/16/5/858

Internet

https://www.mdpi.com/2072-4292/16/5/858

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