A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series
Citation
Urgilez Vinueza, A., Handwerger, A.L., Bakker, M., Bogaard, T. (2022). A new method to detect changes in displacement rates of slow-moving landslides using InSAR time series. Landslides, 19: 2233-2247. Link to paper
Abstract
The researchers developed a new method to systematically detect and quantify accelerations and decelerations of slowly deforming areas using InSAR displacement time series. The displacement time series are filtered using an outlier detector and subsequently piecewise linear functions are fitted to identify changes in the displacement rate (i.e., accelerations or decelerations). Grouped accelerations and decelerations are inventoried as indicators of potential unstable areas. The method was tested and refined using a high-quality dataset from the Mud Creek landslide, CA, USA. The method detects accelerations and decelerations that coincide with those previously detected by manual examination, and was also tested in the region around the Mazar dam and reservoir in Southeast Ecuador, where the time series data were of considerably lower quality.