Machine learning approaches for mapping and predicting landslide-prone areas in São Sebastião (Southeast Brazil)
This study employs machine learning techniques to map and predict landslide-prone areas in São Sebastião, Brazil, a region susceptible to landslides due to its steep terrain and intense rainfall. We compared five algorithms: Random Forest, Gradient Boosting, Support Vector Machine, Artificial Neural...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co. Ltd.
2025-06-01
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| Series: | Natural Hazards Research |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666592124000751 |
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