Prediction analysis of landslide displacement trajectory based on the gradient descent method with multisource remote sensing observations

作者：J. J. Wang, Tianjie Lei, Wenkai Liu, Yijin Chen, Jianwei Yue, Baoyin Liu · 发表于：Geomatics Natural Hazards and Risk · 年份：2022 · DOI：10.1080/19475705.2022.2158375 · 被引用次数：14 · 研究领域：Landslides and related hazards、Cryospheric studies and observations、Synthetic Aperture Radar (SAR) Applications and Techniques

Landslides can result in extensive casualties and huge economic losses. The accurate discrimination of the main slip direction and deformation trajectory is an important prerequisite for studying landslide formation mechanisms and designing landslide control schemes. In the process of landslide evolution over time, the main slip direction also changes dynamically and provides a comprehensive reflection of the landslide displacement state. However, few studies on this topic have been published. In this paper, a new methodology for analyzing slope stability is proposed based on three techniques: interferometric synthetic aperture radar (InSAR), unmanned aerial vehicle (UAV), and ground-based interferometric synthetic aperture radar (GB-InSAR). The Small Baseline Subset Interferometric SAR (SBAS-InSAR) technique is combined with an overall analysis of the study area to identify the regions of interest (ROIs) with large deformation and the starting target points, and the fusion results of radar deformation data (RDD) and digital surface model (DSM) data are used to fit the deformation surface field of the ROIs. The gradient descent approach is executed to obtain the running trajectory points of the target masses so that the main slip direction and displacement trajectory in the study area can be predicted at small scales. The measured data for the Hongshiyan landslide in Yunnan Province are used to verify the effectiveness of the method, and the predicted results are consistent w...