A comparative analysis of weight-based machine learning methods for landslide susceptibility mapping in Ha Giang area
Landslide susceptibility maps (LSMs) are very crucial for planning policies in hazardous areas. However, the accuracy and reliability of LSMs depend on available data and the selection of suitable methods. This study is conducted to produce LSMs by combinations of machine learning methods and weight...
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| Main Authors: | , , |
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| Format: | Bài trích |
| Language: | English |
| Published: |
Taylor & Francis Group
2022
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| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/full/10.1080/20964471.2022.2043520 https://dlib.phenikaa-uni.edu.vn/handle/PNK/5901 https://doi.org/10.1080/20964471.2022.2043520 |
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