Development of synthetic aperture radar (SAR) technology and the dedicated suite of processing tools have aided the evolution of remote sensing techniques for various Earth Observation (EO) applications. Interferometric SAR (InSAR) is a relatively new geodetic technique which provides high-speed and reliable geographic, geologic, and hazards information allowing the prognosis of future environmental and urban planning. In this study, we explored the applicability of two differential interferometry techniques, conventional and advanced differential InSAR (A-DInSAR), for topographic mapping and long-term geotechnical monitoring by exploiting satellite data, particularly Sentinel-1 SAR data, which is publicly shared. We specifically used the open-source tools of SeNtinel Application Platform (SNAP) and Stanford Method for Persistent Scatterers (StaMPS) for interferometric data processing to implement A-DInSAR. This study presents various applications, which include generation of a digital elevation model (DEM), mapping of seismically induced displacement and associated damages, and detection and long-term monitoring of tunneling-induced ground deformation and rainfall-induced landslide. Geometric and temporal decorrelations posed challenges and limitations in the successful implementation of Sentinel-1 SAR interferometry specifically in vegetated areas. The presented results proved the validity and reliability of the exploited SAR data and InSAR techniques for addressing geotechnical engineering related problems.

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We report a catastrophic landslide occurred in Gokseong County, South Korea, on August 7, 2020. Torrential rain, with a cumulative rainfall of more than 250 mm for the preceding 3 days, contributed as a trigger or a primer to an initiation of slope failure and ensuing evolution to a debris flow. The runout length, area, and volume of the Gokseong landslide are estimated to be approximately 678 m, 4.63 × 10 4 m 2 , and 2-5 × 10 4 m 3 , respectively. This Gokseong landslide, with its long runout, has caused severe damage to the village located downstream with a total of five fatalities and five buried houses. This study not only reports the damaged area, rainfall characteristics, and triggering factors but also presents the terrain changes obtained through a field survey using unmanned aerial vehicles (UAVs) conducted 5 days after the event and the normalized difference vegetation index (NDVI) using Sentinel-2 data.

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