Machine learning driven geospatial techniques for integrated urban flood susceptibility mapping in Jimma City Ethiopia
Abstract Urban flooding is a growing global concern, driven by rapid urbanization, inadequate infrastructure, land use changes, and climate variability. Identification and mapping of flood-prone areas are critical for effective flood risk management, urban planning, and disaster mitigation. Flood su...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer
2026-02-01
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| Collection: | Discover Sustainability |
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1007/s43621-026-02790-0 |
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