Instability mechanism of loess-mudstone landslides under rainfall infiltration conditions. [PDF]
Liu X +5 more
europepmc +1 more source
InSAR Techniques for Landslide Study: A Review of Methods, Challenges, and Emerging Trends. [PDF]
Zhang H, Liu B, Zhu D, Liu Z, Shi M.
europepmc +1 more source
Landslide Susceptibility Evaluation Integrating Machine Learning and SBAS-InSAR-Derived Deformation Characteristics: A Case Study of Yining County, Xinjiang. [PDF]
Ma T, Yi X, Ci H, Wang R, Yang H, Yan Z.
europepmc +1 more source
CTHNet: A CNN-Transformer Hybrid Network for Landslide Identification in Loess Plateau Regions Using High-Resolution Remote Sensing Images. [PDF]
Li J, Zhang J, Fu Y.
europepmc +1 more source
Landslide detection using multimodal data fusion and an improved Deeplabv3+ model. [PDF]
Tuo W +5 more
europepmc +1 more source
Deformation characteristics and motion process prediction analysis of the Lanbazi landslide in Wanzhou District, Chongqing. [PDF]
Xue H +6 more
europepmc +1 more source
Revealing asperity-controlled failure patterns in landslides: A case study of Hushuo Expressway, Inner Mongolia. [PDF]
Yuan-Hao X, Chi L, Shuan-Hu L, Yu G.
europepmc +1 more source
Landslide risk assessment combining kernel extreme learning machine and information value modeling-A case study of Jiaxian Country of loess plateau, China. [PDF]
Wang Y, Kang L, Wang J.
europepmc +1 more source
Experimental study on the failure process and modes of loess spoil slope induced by rainfall and engineering disturbance. [PDF]
Xiao W, Tian W.
europepmc +1 more source
Research on the deformation mechanisms of accumulated landslides induced by different rain patterns based on flume model tests. [PDF]
Yi W +5 more
europepmc +1 more source

