Dr. Boyko Berov Profile

Dr. Boyko Berov

at Geological Institute BAS

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Proceedings Article | 20 September 2020 Presentation + Paper

Studying the slope deformations in a Bulgarian mountain by multitemporal DInSAR data processing

Hristo Nikolov, Mila Atanasova, Plamen Ivanov, Boyko Berov

Proceedings Volume 11533, 1153319 (2020) https://doi.org/10.1117/12.2573945

KEYWORDS: Data processing, Synthetic aperture radar, Satellites, Data acquisition, Roads, Bridges, Stochastic processes, Geodesy, Laser scanners, Analytical research

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This research is focused on registering the movements along the slope of the several slopes located on south-west of the mountain Stara Planina and establishing their average annual values. Currently at national level there are a low number of studies targeted at operational monitoring of the investigated slopes. These objects are quite specific for research since those kind of natural phenomena are inaccessible by other means or are quite dangerous to be investigated. On the other hand, the moving slopes are causing damages to infrastructural objects such as roads, bridges or power lines. Their behavior is difficult to forecast and for this reason they can be considered as natural hazards. Obtaining precise data for the single slope movements is done by in-situ investigations such as geodetic acquisitions, terrestrial laser scanning, and geological observations, which all require financial resources and human effort. For this reason, we used remotely sensed data from satellite based SAR instruments processed using the DInSAR method in order to analyze the motions of single slope and to establish a technique for the investigation of mountain slopes. An advantage of the selected method is the possibility to register the vertical movements of the whole slope with centimeter accuracy. This approach is based on the free access to the SAR data and tools for their thematic processing provided by ESA. In this study an emphasis is put on the manner how the obstacles encountered during the interferometric processing (e.g. presence of vegetation or topography) have been overcome. From the downloaded set of SAR images covering the region created were two multitemporal InSAR data series from ascending and descending orbits of the satellite. The results from the autumn-winter pairs exhibited good correlation with the expected displacements along the studied slope having a magnitude of 0.8 m.

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