Applying Machine Learning Algorithms for Spatial Modeling of Flood Susceptibility Prediction over São Paulo Sub-Region

Applying Machine Learning Algorithms for Spatial Modeling of Flood Susceptibility Prediction over São Paulo Sub-Region

Floods are among the most destructive natural hazards globally, necessitating the identification of flood-prone areas for effective disaster risk management and sustainable urban development. Advanced data-driven techniques, including machine learning (ML), are increasingly used to map and mitigate...

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Bibliographic Details
Main Authors: Temitope Seun Oluwadare, Marina Pannunzio Ribeiro, Dongmei Chen, Masoud Babadi Ataabadi, Saba Hosseini Tabesh, Abiodun Esau Daomi
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Land
Subjects:
flood spatial modeling
flood susceptibility mapping
machine learning
natural hazards
flood prediction
Online Access:https://www.mdpi.com/2073-445X/14/5/985
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