PERFORMANCE OF MACHINE LEARNING ALGORITHMS FOR MAPPING AND FORECASTING OF FLASH FLOOD SUSCEPTIBILITY IN TETOUAN, MOROCCO

Since the industrial revolution, the world is experiencing a huge change in its climate, which causes many imbalances such as flash floods (FF). The aim of this study is to propose a new approach for detection and forecasting of flash flood susceptibility in the city of Tetouan, Morocco. For this re...

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Bibliographic Details
Main Authors: E. M. Sellami, M. Maanan, H. Rhinane
Format: Article
Language:English
Published: Copernicus Publications 2022-01-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLVI-4-W3-2021/305/2022/isprs-archives-XLVI-4-W3-2021-305-2022.pdf