Xiangjun Pei

TL;DR: In this paper, the authors analyze how earthquakes trigger landslides and highlight research gaps, and suggest pathways toward a more complete understanding of the seismic effects on the Earth's surface, highlighting research gaps.

TL;DR: Four advanced machine learning techniques, namely the Bayes' net (BN), radical basis function (RBF) classifier, logistic model tree (LMT), and random forest (RF) models, are compared for landslide susceptibility modelling in Chongren County, China to assess and compare the predictive capabilities of the models.

TL;DR: Wang et al. as discussed by the authors used satellite remote sensing, UAV aerial photography, and seismic analysis to identify the main kinematic features, the dynamic process, and the triggering mechanism of the event.

TL;DR: In this article, the authors investigated the cause of the Daguangbao landslide and concluded that the occurrence of the landslide is controlled mainly by the seismic, terrain, and geological factors.

TL;DR: Based on a large set of pre-and post-earthquake high-resolution satellite images, a polygon-based interpretation of the coseismic landslides was carried out as discussed by the authors.