Flood susceptibility mapping using supervised machine learning models: insights into predictors’ significance and models’ performance
Eastern Hindu Kush (EHK) is one of the most flood-prone regions due to its diverse topographic features, complex climatic conditions, and fragile socioeconomic situations. Yet there are limited studies on robust assessment and prediction of flood susceptibility in this region. This study aims to pre...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-06-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2025.2516728 |
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