ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa


Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, No. 5, pp. 74-82

Methods and results of geostatistical processing of radar interferometry data over Kaliningrad Region territory

V.M. Filatova 1 , I.V. Nazarov 1 , A.V. Filatov 1 
1 Immanuel Kant Baltic Federal University, Kaliningrad, Russia
Accepted: 14.09.2021
DOI: 10.21046/2070-7401-2021-18-5-74-82
The research and development described in the article are aimed at the development and implementation of large-scale monitoring of ground surface deformations based on the technology of interferometric processing of multi-pass satellite radar imagery. Periodic monitoring of large areas in order to identify and monitor areas exposed to dangerous deformations is the perspective direction for the development of this area of knowledge. Attention is paid to post-processing of point measurements of displacements of persistent interferometric scatterers based on Sentinel-1A/B medium spatial resolution radar data. Primary processing was performed using the FInSAR software developed by the authors in 2017. The article describes the manipulations with the results necessary to eliminate the negative effects arising in the interferometric processing, and not related to the nature of the studied displacements. The use of a number of methods of geostatistical analysis for identifying and predicting zones of extreme deformations has been justified. The normal quantile-quantile plot, which analyzes the field of average annual displacement rates, was used to detect areas of significant uplift/subsidence. The method of inverse weighted distances adapted to take into account clustering and interferometric coherence was used to interpolate point measurements. The analysis identified zones of interest characterized by significant values of subsidence or multidirectional deformation of ground surface on the territory of the Kaliningrad Region.
Keywords: radar interferometry, Sentinel-1, ground surface deformations, geostatistics, inverse distance weights
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  1. Demyanov V. V., Saveleva E. A., Geostatistika: Teoriya i praktika (Geostatisics: Theory and practice), Moscow: Nauka, 2010, 327 p. (in Russian).
  2. Zakharov A. I., Yakovlev O. I., Smirnov V. M., Sputnikovyi monitoring Zemli. Radiolokatsionnoe zondirovanie poverkhnosti (Satellite monitoring of the Earth. Surface radar sensing), Moscow: Krasand, 2012, 248 p. (in Russian).
  3. Filatov A. V., Programma interferometricheskoi obrabotki sputnikovykh radiolokatsionnykh dannykh (FInSAR) (Program for interferometric processing of satellite radar data (FInSAR)), Certificate of state registration of software No. 2018614285 (RU), Reg. 21.11.2017.
  4. Filatova V. M., Nazarov I. V., Filatov A. V., Zhegalina L. F. (2020a), Geostatistical processing of radar interferometry results in solving problems of large scale monitoring, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 17, No. 3, pp. 72–82 (in Russian), DOI: 10.21046/2070-7401-2020-17-3-75-82.
  5. Filatova V. M., Nazarov I. V., Filatov A. V. (2020b), Large scale monitoring of technogenic objects displacements using radar interferometry technique, Geoinformatika, 2020, No. 3, pp. 53–61 (in Russian).
  6. Ferretti A., Prati C., Rocca F., Permanent scatterers in SAR interferometry, IEEE Trans. Geoscience and Remote Sensing, 2001, Vol. 39, No. 1, pp. 8–20.
  7. Hooper A., Persistent Scatterer Radar Interferometry for Crustal Deformation Studies and Modeling of Volcanic Deformation: Doctoral Thesis, Stanford University, 2006, 144 p.