Enhancing flood prediction through remote sensing, machine learning, and Google Earth Engine

Enhancing flood prediction through remote sensing, machine learning, and Google Earth Engine

Floods are the most common natural hazard, causing major economic losses and severely affecting people’s lives. Therefore, accurately identifying vulnerable areas is crucial for saving lives and resources, particularly in regions with restricted access and insufficient data. The aim of this study wa...

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Bibliographic Details
Main Authors: Sonia Hajji, Samira Krimissa, Kamal Abdelrahman, Abdelghani Boudhar, Abdenbi Elaloui, Maryam Ismaili, Meryem El Bouzekraoui, Mohamed Chikh Essbiti, Ali Y. Kahal, Biraj Kanti Mondal, Mustapha Namous
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-03-01
Series:Frontiers in Water
Subjects:
flood
Google Earth Engine
normalized difference flood index
random forest
gradient boosting
Adaboost
Online Access:https://www.frontiersin.org/articles/10.3389/frwa.2025.1514047/full
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https://www.frontiersin.org/articles/10.3389/frwa.2025.1514047/full

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