Ground movements resulting from landslides are a frequent natural phenomenon that often occur in different regions of the state of Alabama. These movements pose threats to human life, causing infrastructure damage, and disrupting the highway network. Traditional approaches to detecting landslides require manual observations of settlement or cracking, which can be effective only after signs of distress can be observed. This research focuses on utilizing interferometric synthetic aperture radar (InSAR) deformation time series analysis along with GIS-derived geospatial information to study landslides and their cause in the southern regions of the US. In this research, deformation time series and mean velocity were estimated from September 2016 to February 2022 using Sentinel-1 InSAR (COMET-LiCSAR) product in a region that has recently experienced significant deformation caused by landslides, in the North Alabama highway located in Morgan County. Results of ground deformations obtained from InSAR were then combined with geotechnical, geospatial, and climate data such as precipitation, topography of the region, and soil moisture data to comprehensively understand the underlying causes of failure.

来源平台：GEO-CONGRESS 2024: GEOTECHNICAL DATA ANALYSIS AND COMPUTATION