Torrential rainfall-triggered shallow landslide characteristics and susceptibility assessment using ensemble data-driven models in the Dongjiang Reservoir Watershed …

J Dou, AP Yunus, Y Xu, Z Zhu, CW Chen, M Sahana… - Natural Hazards, 2019 - Springer
This study investigated the characteristics of rainfall-triggered landslides during the Typhoon
Bilis in the Dongjiang Reservoir Watershed, China. The comparative shallow landslide …

Regional landslide hazard assessment through integrating susceptibility index and rainfall process

Z Wang, D Wang, Q Guo, D Wang - Natural Hazards, 2020 - Springer
Due to the difference of the spatial and temporal distribution of rainfall and the complex
diversity of the disaster-prone environment (topography, geological, fault, and lithology), it is …

[HTML][HTML] National-scale data-driven rainfall induced landslide susceptibility mapping for China by accounting for incomplete landslide data

Q Lin, P Lima, S Steger, T Glade, T Jiang, J Zhang… - Geoscience …, 2021 - Elsevier
China is one of the countries where landslides caused the most fatalities in the last decades.
The threat that landslide disasters pose to people might even be greater in the future, due to …

Ai-based susceptibility analysis of shallow landslides induced by heavy rainfall in Tianshui, China

T Qi, Y Zhao, X Meng, G Chen, T Dijkstra - Remote Sensing, 2021 - mdpi.com
Groups of landslides induced by heavy rainfall are widely distributed on a global basis and
they usually result in major losses of human life and economic damage. However, compared …

Evaluation of the extreme rainfall predictions and their impact on landslide susceptibility in a sub-catchment scale

KJ Shou, JF Lin - Engineering Geology, 2020 - Elsevier
Geohazards induced by extreme-rainfall events have considerably affected Taiwan
throughout the last decade. Because of differences in rainfall behavior, the hazards of …

Rainfall-induced landslide susceptibility using a rainfall–runoff model and logistic regression

HC Chan, PA Chen, JT Lee - Water, 2018 - mdpi.com
Conventional landslide susceptibility analysis adopted rainfall depth or maximum rainfall
intensity as the hydrological factor. However, using these factors cannot delineate temporal …

The assessment of landslide susceptibility mapping using random forest and decision tree methods in the Three Gorges Reservoir area, China

K Zhang, X Wu, R Niu, K Yang, L Zhao - Environmental Earth Sciences, 2017 - Springer
Landslide susceptibility mapping is an indispensable prerequisite for landslide prevention
and reduction. At present, research into landslide susceptibility mapping has begun to …

Susceptibility evaluation and mapping of China's landslides based on multi-source data

C Liu, W Li, H Wu, P Lu, K Sang, W Sun, W Chen… - Natural Hazards, 2013 - Springer
Landslides are occurring more frequently in China under the conditions of extreme rainfall
and changing climate, according to News reports. Landslide hazard assessment remains an …

Rainfall-induced landslide susceptibility mapping using machine learning algorithms and comparison of their performance in Hilly area of Fujian Province, China

P Ye, B Yu, W Chen, K Liu, L Ye - Natural Hazards, 2022 - Springer
The rainfall can contribute significantly to landslide events, especially in hilly areas. The
landslide susceptibility map (LSM) usually helps to mitigate disasters. However, how to …

Global dynamic rainfall-induced landslide susceptibility mapping using machine learning

B Li, K Liu, M Wang, Q He, Z Jiang, W Zhu, N Qiao - Remote Sensing, 2022 - mdpi.com
Precipitation is the main factor that triggers landslides. Rainfall-induced landslide
susceptibility mapping (LSM) is crucial for disaster prevention and disaster losses mitigation …