Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 22, 2025
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 20, 2023
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 19, 2022
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 18, 2021
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 17, 2020
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 16, 2019
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 15, 2018
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 14, 2017
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6 Number 7
Volume 13, 2016
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 12, 2015
Number 1 Number 2 Number 3 Number 4 Number 5 Number 6
Volume 11, 2014
Number 1 Number 2 Number 3 Number 4
Volume 10, 2013
Number 1 Number 2 Number 3 Number 4
Volume 9, 2012
Number 1 Number 2 Number 3 Number 4 Number 5
Volume 8, 2011
Number 1 Number 2 Number 3 Number 4
Volume 7, 2010
Number 1 Number 2 Number 3 Number 4
Issue 6, 2009
Volume 1 Volume 2
Issue 5, 2008
Volume 1 Volume 2
Issue 4, 2007
Volume 1 Volume 2
Issue 3, 2006
Volume 1 Volume 2
Issue 2, 2005
Volume 1 Volume 2
Issue 1, 2004
Volume 1
Search
Find:
русский
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, 2025, V. 22, No. 6, pp. 171-181

On the interpretation of the results of SAR interferometry in the study of landslide activity in the coastal region of Big Sochi based on Sentinel-1 satellite images for 2015–2025

E.I. Smolyaninova 1 , V.O. Mikhailov 1 
1 Schmidt Institute of Physics of the Earth RAS, Moscow, Russia
Accepted: 02.10.2025
DOI: 10.21046/2070-7401-2025-22-6-171-181
The coastal area of Big Sochi belongs to the territories with a high landslide risk. The increasing anthropogenic load in this region places high demand on monitoring of landslide activity. This work is a continuation of research on the use of satellite radar interferometry (InSAR) to study landslide processes in this region. The paper presents an updated interactive map of surface deformations for the Central and Adler districts of Big Sochi, based on interferometric processing of radar images from the Sentinel-1A satellite from ascending 43A (295 images) and descending 123D (278 images) tracks for the period 2015–2025. The map is available at https://adler.nextgis.com/resource/1214/display?panel=info. The images were processed using the SBAS (Small Baseline Subset) method in the ENVI SARscape package v 5.3. Based on the results of interferometric image processing, the map features as layers the annual average values of the displacement rates in the direction of line of sight of the satellite and along the slope for two periods: 2015–2021 and 2021–2025. In addition, to assess the current activity of landslide processes, the displacement has been calculated over the past year and a half. The results are displayed on the map as layers with highlighted areas where the absolute values of the displacements exceed 50 mm during this period, which is the value assumed to be the threshold level of danger. During the period 2021–2025, 36 potentially dangerous areas of active deformations have been identified and marked on the map, of which 11 are considered the most dangerous. For the identified potentially dangerous areas, time series graphs are presented together with precipitation data, which make it possible to identify periods of relative stability and activation. It is shown that the most dangerous is intense precipitation after a dry summer. The features of interpretation of InSAR in comparison with ground-based data are discussed in detail.
Keywords: SAR, InSAR, satellite monitoring, landslides, interactive map, Sentinel-1A, Big Sochi
Full text

References:

  1. Bondur V. G., Chimitdorzhiev T. N., Dmitriev A. V., Dagurov P. N., Assessment of the Bureya river landslide reactivation using the persistent scatter interferometry, Doklady Earth Sciences, 2022, V. 502, No. 1–2, pp. 31–36. DOI: 10.1134/S1028334X22020027.
  2. Dmitriev P. N., Golubev V. I., Isaev Yu. S., Kiseleva E. A., Mikhailov V. O., Smolyaninova E. I., On processing and interpretation of SAR interferometry data in case of landslide monitoring, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, V. 9, No. 2, pp. 130–142 (in Russian).
  3. Zakharov A. I., Zakharova L. N., Krasnogorskii M. G., Monitoring of the landslide activity using radar interferometric observations of trihedral corner reflectors, Issledovanie Zemli iz kosmosa, 2018, No. 3, pp. 80–92 (in Russian), DOI: 10.7868/S0205961418030065.
  4. Zakharova L. N., Zakharov A. I., Sinilo V. P., Study of long-term dynamics of the Bureya landslide using spaceborne SAR interferometry, GeoRisk World, 2022, V. 16, No. 3, pp. 20–34, https://doi.org/10.25296/1997-8669-2022-16-3-20-34.
  5. Kiseleva E. A., Mikhailov V. O., Smolyaninova E. I., Timoshkina E. P., Dmitriev P. N., The combination of methods for analyzing the amplitude and phase of satellite radar images for the estimation of displacements on landslide-affected slopes, Moscow Univ. Physics Bull., 2015, V. 70, No. 4, pp. 303–311.
  6. Mikhailov V. O., Kiseleva E. A., Smolyaninova E. I., Dmitriev P. N., Golubev V. I., Isaev Yu. S., Dorokhin K. A., Timoshkina E. P., Khairetdinov S. A., Some problems of landslide monitoring using satellite radar with different wavelengths: case study of two landslides in the region of Greater Sochi, Fizika Zemli, 2014, No. 4, pp. 120–130 (in Russian).
  7. Smolyaninova E. I., Mikhailov V. O., Analysis of displacements of landslides in the Big Sochi region based on InSAR data: Case study of Sergei Pol’e (Gornaya Polyana settlement), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, V. 21, No. 3, pp. 73–83 (in Russian), DOI: 10.21046/2070-7401-2024-21-3-73-83.
  8. Smolyaninova E. I., Mikhailov V. O., Monitoring of landslide activity in the Big Sochi region using InSAR for the period 2015–2024, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2025, V. 22, No. 1, pp. 69–78 (in Russian), DOI: 10.21046/2070-7401-2025-22-1-69-78.
  9. Smolyaninova E. I., Kiseleva E. A., Mikhailov V. O., Sentinel-1 InSAR for investigation of active deformation areas: case study of the coastal region of the Big Sochi, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, V. 16, No. 5, pp. 147–155 (in Russian), DOI: 10.21046/2070-7401-2019-16-5-147-155.
  10. Smolyaninova E. I., Mikhailov V. O., Dmitriev P. N., Detection and monitoring of active deformation areas in the Adler region of the Big Sochi area based on multifrequency InSAR data for the period 2007–2020, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2021, V. 18, No. 4, pp. 55–65 (in Russian), DOI: 10.21046/2070-7401-2021-18-4-55-65.
  11. Smolyaninova E. I., Mikhailov V. O., Dmitriev P. N., Interactive map of active landslides and subsiding areas for the Central and Adler regions of the Big Sochi based on InSAR data for the period 2015–2021, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2022, V. 19, No. 4, pp. 141–149 (in Russian), DOI: 10.21046/2070-7401-2022-19-4-141-149.
  12. Berardino P., Fornaro G., Lanari R., Sansosti E., A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms, IEEE Trans. Geoscience and Remote Sensing, 2002, V. 40, No. 11, pp. 2375–2383, DOI: 10.1109/TGRS.2002.803792.
  13. Bondur V., Chimitdorzhiev T., Dmitriev A., Dagurov P., Fusion of SAR interferometry and polarimetry methods for landslide reactivation study, the Bureya River (Russia) event case study, Remote Sensing, 2021, V. 13, No. 24, Article 5136, https://doi.org/10.3390/rs132 45136.
  14. Crosetto M., Monserrat O., Cuevas-González M. et al., Persistent Scatterer Interferometry: A review, ISPRS J. Photogrammetry and Remote Sensing, 2016, V. 115, pp. 78–89, DOI: 10.1016/j.isprsjprs.2015.10.011.
  15. Handwerger A., Fielding E., Sangha S., Bekaert D., Landslide sensitivity and response to precipitation changes in wet and dry climates, Geophysical Research Letters, 2022, V. 49, Article e2022GL099499, https://doi. org/10.1029/2022GL099499.
  16. Kiseleva E., Mikhailov V., Smolyaninova E. et al., PS-InSAR monitoring of landslide activity in the Black Sea coast of the Caucasus, Procedia Technology, 2014, V. 16, pp. 404–413, DOI: 10.1016/j.protcy.2014.10.106.
  17. Li X., Handwerger A., Peltze G., Fielding E., Exploring the behaviors of initiated progressive failure and slow‐moving landslides in Los Angeles using satellite InSAR and pixel offset tracking, Geophysical Research Letters, 2024, V. 51, Article e2024GL108267, https://doi.org/10.1029/2024GL108267.
  18. Mondini A., Guzzetti F., Chang K.-T. et al., Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future, Earth-Science Reviews, 2021, V. 216, Article 103574, https://doi.org/10.1016/j.earscirev.2021.103574.
  19. Moretto S., Bozzano F., Mazzanti P., The role of satellite In-SAR for landslide forecasting: Limitations and openings, Remote Sensing, 2021, V. 13, No. 18, Article 3735, https://doi.org/10.3390/rs13183735.
  20. Solari L., Del Soldato M., Raspini F. et al., Review of satellite interferometry for landslide detection in Italy, Remote Sensing, 2020, V. 12, No. 8, Article 1351, 29 p., https://doi.org/10.3390/rs12081351.