Short-Term Landslide Displacement Detection Based on GNSS Real-Time Kinematic Positioning

Global navigation satellite system (GNSS) is one of the most effective means for landslide monitoring. At present, most studies on GNSS-based landslide monitoring focus on the long-term landslide analysis, while short-term landslide displacement is not clear. The purpose of this article is to explore a short-term displacement detection method based on GNSS kinematic positioning for landslide monitoring. The significance and feasibility of short-term landslide monitoring are presented, and a short-term displacement detection method based on GNSS kinematic positioning time series segmentation is proposed. The coordinate time series is reconstructed by the Daubechies wavelet to extract the abrupt components. The detection window is formed by the current epoch coordinates and the previous epochs’ coordinates and segmented according to the segmentation index. The segmentation point obtained by segmenting the detection window is regarded as a possible change point (PCP), and a test is conducted to determine whether the segmentation point is a change point (CP). Simulation and field experiments were carried out to verify the proposed method. The results show the feasibility and effectiveness of the method for short-term landslide change detection. The influence of the detection window size and segmentation index on the proposed method is discussed, and suggestions for the selection of detection window size as well as segmentation index are given.