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...
Main Authors: | E. M. Sellami, M. Maanan, H. Rhinane |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2022-01-01
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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 |
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