1Department 2 – Physics of the Earth, Helmholtz Center Potsdam – GFZ German Research Center of Geosciences, Potsdam, Germany
*now at: School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287-6004, USA
Received: 21 Aug 2013 – Published in Nat. Hazards Earth Syst. Sci. Discuss.: 17 Sep 2013
Abstract. The republic of Georgia is a mountainous and tectonically active area that is vulnerable to landslides. Because landslides are one of the most devastating natural hazards, their detection and monitoring is of great importance. In this study we report on a previously unknown landslide in central Georgia near the town of Sachkhere. We used a set of Advanced Land Observation Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) data to generate displacement maps using interferometric synthetic aperture radar (InSAR). We detected a sliding zone of dimensions 2 km north–south by 0.6 km east–west that threatens four villages. We estimated surface displacement of up to ∼30 cm/yr over the sliding body in the satellite line-of-sight (LOS) direction, with the largest displacement occurring after a local tectonic earthquake. We mapped the morphology of the landslide mass by aerial photography and field surveying. We found a complex set of interacting processes, including surface fracturing, shear and normal faults at both the headwall and the sides of the landslide, local landslide velocity changes, earthquake-induced velocity peaks, and loss in toe support due to mining activity. Important implications that are applicable elsewhere can be drawn from this study of coupled processes.
Revised: 09 Dec 2013 – Accepted: 30 Jan 2014 – Published: 25 Mar 2014
We used inverse dislocation modelling to find a possible dislocation plane resembling the landslide basal décollement, and we used that plane to calculate the volume of the landslide. The results suggest a décollement at ∼120 m depth, dipping at ∼10° sub-parallel to the surface, which is indicative of a translational-type landslide.
Nikolaeva, E., Walter, T. R., Shirzaei, M., and Zschau, J.: Landslide observation and volume estimation in central Georgia based on L-band InSAR, Nat. Hazards Earth Syst. Sci., 14, 675-688, doi:10.5194/nhess-14-675-2014, 2014.