Authors
QuangBinh Nguyen Ba-Quang-Vinh Nguyen, Viet-Long Doan, Chi-Cong Nguyen, Nguyen-Duc-Phuoc Vo
Publication date
2021/12/2
Conference
4th Asia Pacific Meeting on Near Surface Geoscience & Engineering
Description
Rainfall is one of a natural triggering factor for landslides. Vietnam, with area covered by mountainous area, is located in one of five major typhoon areas in the world. Therefore, rainfall-triggered landslides are a constant threat to life, agriculture and transport in Vietnam. So, predicting landslide spatial probability in Vietnam is an urgent requirement. In this study, a deep learning model was used to assess landslide spatial probability at Quang Ngai province, Vietnam. 650 landslides along with 12 conditioning factors were used in landslide spatial probability mapping. The results were validated using a receiver operating characteristic curves. The areas under the curve of the success-rate curve and predicted-rate curve showed that the proposed model was successful in predicting the spatial probability of landslide at Quang Ngai, Vietnam. In addition, the used model was compared to other machine learning …
Total citations
Scholar articles
VNB Quang, LD Viet, CN Chi, PVN Duc, BN Quang - 4th Asia Pacific Meeting on Near Surface Geoscience …, 2021