Exploring novel hybrid soft computing models for landslide susceptibility mapping in Son La hydropower reservoir basin

Exploring novel hybrid soft computing models for landslide susceptibility mapping in Son La hydropower reservoir basin

In this study, two novel hybrid models namely Bagging-based Rough Set (BRS) and AdaBoost-based Rough Set (ABRS) were used to generate landslide susceptibility maps of Son La hydropower reservoir basin, Vietnam. In total, 186 past landslide events and twelve landslides affecting factors (slope degree...

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Bibliographic Details
Main Authors: Nguyen Van Dung, Nguyen Hieu, Tran Van Phong, Mahdis Amiri, Romulus Costache, Nadhir Al-Ansari, Indra Prakash, Hiep Van Le, Hanh Bich Thi Nguyen, Binh Thai Pham
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
landslide susceptibility
machine learning
roc curve
gis
vietnam
Online Access:http://dx.doi.org/10.1080/19475705.2021.1943544

Internet

http://dx.doi.org/10.1080/19475705.2021.1943544

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