Multi-hazard risk mapping using machine learning
This study maps out Ghana’s multi-hazard risk of flood and drought by using machine learning (ML) models for susceptibility analysis, socioeconomic survey for vulnerability analysis and population density for exposure analysis. The ML models used were Logistic Regression (LR), Random Forest (RF) and...
| Main Authors: | , , |
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| Format: | Informe técnico |
| Language: | Inglés |
| Published: |
CGIAR System Organization
2022
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/127621 |
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