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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Bibliografski detalji

Glavni autori:	Yeshiwase Yeneneh Wasie, Chia-Chun Ho, Po-Yen Yang, Dagne Almaw Kassa, Jen-Yang Lin
Format:	Artigo
Jezik:	Inglês
Izdano:	Taylor & Francis Group 2026-12-01
Serija:	Geomatics, Natural Hazards & Risk
Teme:	Flood risk assessment GIS AHP machine learning Ethiopia
Online pristup:	https://www.tandfonline.com/doi/10.1080/19475705.2026.2689851
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