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GIS and remote sensing-based hybrid AHP–machine learning framework for flood susceptibility and risk assessment in the Wolaita Zone, Southern Ethiopia

Flooding is a major natural hazard with significant social, economic, and environmental impacts, particularly in data-scarce regions. This study applied GIS and remote sensing–based framework integrating multi-criteria decision analysis via the analytical hierarchy process with ensemble machine-lear...

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Principais autores: Yeshiwase Yeneneh Wasie, Chia-Chun Ho, Po-Yen Yang, Dagne Almaw Kassa, Jen-Yang Lin
Format: Artigo
Sprog:Inglês
Udgivet: Taylor & Francis Group 2026-12-01
Serier:Geomatics, Natural Hazards & Risk
Fag:
Flood risk assessment
GIS
AHP
machine learning
Ethiopia
Online adgang:https://www.tandfonline.com/doi/10.1080/19475705.2026.2689851
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