Over the last few decades, many landslide classification systems have been developed. Inconsistencies across these systems have inevitably led to ambiguity, confusion, and …
H Li, Y He, Q Xu, J Deng, W Li, Y Wei - Landslides, 2022 - Springer
Landslides are catastrophic natural hazards that often lead to loss of life, property damage, and economic disruption. Image-based landslide investigations are crucial for determining …
J Peng, S Wang, Q Wang, J Zhuang, W Huang… - Journal of Asian Earth …, 2019 - Elsevier
Abstract In this study, 14,544 loess landslides collected from the Loess Plateau of China are used to reveal their distribution and origins. Main factors considered include landslide …
W Chen, Z Sun, J Han - Applied sciences, 2019 - mdpi.com
The main aim of this study was to compare the performances of the hybrid approaches of traditional bivariate weights of evidence (WoE) with multivariate logistic regression (WoE …
Q Xu, D Peng, S Zhang, X Zhu, C He, X Qi, K Zhao… - Engineering …, 2020 - Elsevier
Real-time monitoring and intelligent early warning system are crucial and significant to take mitigation measures and reduce casualties and property losses related to landslides. It is …
Y Zhang, XM Meng, TA Dijkstra, CJ Jordan… - Remote Sensing of …, 2020 - Elsevier
A new method, combining empirical modeling with time series Interferometric Synthetic Aperture Radar (InSAR) data, is proposed to provide an assessment of potential landslide …
B Lian, X Wang, H Zhan, J Wang, J Peng, T Gu… - Engineering …, 2022 - Elsevier
Affected by groundwater fluctuations, the loess around the hydro-fluctuation zone near the groundwater table is frequently subjected to periodic dry-wet cycles. The investigation on the …