Predicting susceptibility to landslides under climate change impacts in metropolitan areas of South Korea using machine learning
Landslides cause considerable damage to life and property worldwide. In order to prevent and respond to landslides, it is necessary to identify vulnerable areas. This study identified areas that are likely to be damaged by landslides and aimed to predict future landslides. We compared and analyzed a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-01-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/19475705.2021.1963328 |