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...
محفوظ في:
| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | Artigo |
| اللغة: | Inglês |
| منشور في: |
Taylor & Francis Group
2026-12-01
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| سلاسل: | Geomatics, Natural Hazards & Risk |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.tandfonline.com/doi/10.1080/19475705.2026.2689851 |
| الوسوم: |
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