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, 2020, Vol. 17, No. 3, pp. 75-82

Geostatistical processing of radar interferometry results in solving problems of large scale monitoring

V.M. Filatova 1 , I.V. Nazarov 1 , A.V. Filatov 1 , L.F. Zhegalina 1 
1 Immanuel Kant Baltic Federal University, Kaliningrad, Russia
Accepted: 14.05.2020
DOI: 10.21046/2070-7401-2020-17-3-75-82
The given paper describes the research and practical use of satellite radar interferometry technique for detection of ground surface deformations and technogenic objects displacements in wide areas. The information based on radar acquisitions processing serves as a basis for conducting more detailed study of the area using both remote sensing data and ground geodetic measurements. The complete system of Sentinel-1A/B interferometric processing and the geoservice for results publication were developed in the frame of the project. In summary 210 source radar scenes from 2016 to 2019 were processed. The interactive map of Kaliningrad region published at the geoportal contains point measurements of average annual displacements velocity of technogenic objects including a possibility to trace displacements history. The conducted pointwise and zonal analysis of velocities dynamics allowed to detect in the Kaliningrad region zones characterized by significant subsidence or opposite deformations and requiring high attention. One of detected zones with high density of extreme points showing subsidence is the Oktyabrskiy Island. The analysis of displacements velocities dynamics on the island showed that as a results of work on ground strengthening significant decrease of subsidence rates has been reached but two out of four deformation zones continue to exist.
Keywords: radar interferometry, Sentinel-1A/B, geoinformational service, ground surface deformations, cluster analysis
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