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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2026. Т. 23. № 3. С. 149-160

Joint interpretation of Sentinel-1 InSAR results and Google Earth optical images in analysis of landslide slope dynamics in the coastal part of Greater Sochi in 2015–2025

E.I. Smolyaninova 1 , V.O. Mikhailov 1 
1 Schmidt Institute of Physics of the Earth RAS, Moscow, Russia
Accepted: 31.03.2026
DOI: 10.21046/2070-7401-2026-23-3-149-160
The intensive development of Greater Sochi is accompanied by a constant increase in landslide activity, which determines the urgency of improving methods for studying landslide processes in relation to this territory. This work is a continuation of research on the use of satellite radar interferometry (InSAR) to study landslide processes in the Sochi region. An example of analysis of the dynamics of landslide slope displacements over a ten-year period from 2015 to 2025 is given based on the combined use of the results of interferometric processing of radar images from the Sentinel-1A satellite, optical images from Google Earth and precipitation data, as well as the latest ground-based observations. Images from ascending 43A (295 images) and descending 123D (278 images) orbits were used to calculate the displacement fields. The radar images were processed using the SBAS (Small Baseline Subset) method in ENVI SARscape v. 5.3. A landslide slope in the Central District of Sochi (Jan Fabricius Street) was chosen as case study. During the 2015–2025 observation period, this area, under the influence of anthropogenic factors, turned from an overgrown ravine into a landslide slope, where, according to ground observations, large-scale landslide manifestations with removal of a significant landslide mass delapsium (lat. delabi-slide down) were recorded. Graphs of time series of displacements for the entire observation period were plotted at six points of the slope. On these graphs, nine intervals with characteristic behavior of displacement graphs were identified and compared with precipitation data. For the selected time intervals, Google Earth optical images were also analyzed and they clearly show changes on the Earth’s surface. It was shown that all listed data are in good agreement with each other and their joint analysis allows us to obtain a general dynamic picture of landslide slope activation, which is an important tool for predicting large-scale movements.
Keywords: SAR, synthetic aperture radars, satellite interferometry, InSAR, satellite monitoring, landslides, ground data, optical images, Sentinel-1A, Greater Sochi
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