GIS and remote sensing-based landslide susceptibility mapping in Phuket using machine learning with feature selections
Phuket’s high susceptibility to landslides is driven by its steep terrain, heavy rainfall, and rapid, tourism-fueled urbanization. This study assessed landslide risk using GIS, remote sensing together with logistic regression (LR), support vector machine (SVM), and Neural Networks (NN). We initially...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Taylor & Francis Group
2026-12-01
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| Edice: | Geocarto International |
| Témata: | |
| On-line přístup: | https://www.tandfonline.com/doi/10.1080/10106049.2026.2613487 |
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