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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, 2024, Vol. 21, No. 3, pp. 73-83

Analysis of displacements of landslides in the Big Sochi region based on InSAR data: Case study of Sergei Pol’e (Gornaya Polyana settlement)

E.I. Smolyaninova 1 , V.O. Mikhailov 1 
1 Schmidt Institute of Physics of the Earth RAS, Moscow, Russia
Accepted: 17.04.2024
DOI: 10.21046/2070-7401-2024-21-3-73-83
Urgency of the research is determined by landslide hazard in the Big Sochi region due to growing anthropogenic effect. The aim of this paper is to demonstrate possibilities of InSAR to study landslide hazard in this region. We present an updated interactive map of surface deformations for the Central and Adler regions of the Big Sochi based on the InSAR Sentinel 1A data from ascending 43A (190 images) and descending 123D (173 images) acquisitions for the period 2015–2023. The map is available at: https://adler.nextgis.com/resource/879/display?panel=info. SBAS (Small Baseline Subset) ENVI SARScape v. 5.3 software was used for processing. Mean displacement rates in the satellite line-of-sight direction are shown as layers. Significant active deformation areas are marked off with numbers and time series graphs are displayed. The novelty of the work is calculation of displacement rates down the slope shown as layers on the updated map. Moreover, for case study of Sergei Pol`e landslide (Gornaya Polyana) where landslide failure took place in October 2021 we demonstrate possibilities of InSAR for landslide susceptibility evaluation. Time series graphs in different points of the slope were analyzed together with precipitation data summarized for 1, 3, 5, 15 and 30 days. It was found that in the upper part of the landslide constant displacements up to 200 mm in the satellite line of sight direction with comparatively short deceleration took place prior to the landslide failure. Constant displacements were also revealed on the western slope above the settlement. All those were evidences of landslide susceptibility. It was realized that long stable periods during accumulation of precipitates (incessant rains) in the lower part of the landslide appeared to be the most dangerous. Anomalous accumulated precipitation for the whole 2021 outweighed that for the previous years; it continued to go up since July 2021 and triggered the huge landslide failure on October 5, 2021.
Keywords: SAR, InSAR, satellite monitoring, landslides, interactive map, Sentinel 1A, Big Sochi, s. Sergei-Pol’e
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References:

  1. Bondur V. G., Zakharova L. N., Zakharov A. I. et al., Long-term monitoring of the landslide process on Bureya riverbank based on interferometric L-band radar data, Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2019, Vol. 16, No. 5. pp. 113–119 (in Russian), DOI: 10.21046/2070-7401-2019-16-5-113-119.
  2. Vozhik A. A., Shamurzaeva D. A., Operative regional prediction activity of landslide process on the example of Sochi polygon, Geoinformatika, 2018, No. 4, pp. 59–70 (in Russian).
  3. Dmitriev P. N., Golubev V. I., Isaev Ju. 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, Vol. 9, No. 2, pp. 130–142 (in Russian).
  4. Zakharov A. I., Zakharova L. N., Krasnogorskii M. G., Monitoring of the landslide activity using radar interferometric observations, Issledovanie Zemli iz kosmosa, 2018, No. 3, pp. 80–92 (in Russian), DOI: 10.7868/S0205961418030065.
  5. Zakharova L. N., Zakharov A. I., Sinilo V. P., Study of long-term dynamics of the Bureya landslide using spaceborn SAR interferometry, GeoRisk, 2022, Vol. 16, No. 3, pp. 20–34 (in Russian), https://doi.org/10.25296/1997-8669-2022-16-3-20-34.
  6. Mikhailov V. O., Kiseleva E. A., Smol’yaninova E. I. et al., Some problems of landslide monitoring using satellite radar with different wavelengths: case study of two landslides in the region of Greater Sochi, Izvestiya, Physics of the Solid Earth, 2014, Vol. 50, No. 4, pp. 576–587, DOI: 10.1134/S1069351314040107.
  7. 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, Vol. 16, No. 5, pp. 147–155 (in Russian), DOI: 10.21046/2070-7401-2019-16-5-147-1558.
  8. Smolyaninova E. I., Mikhailov V. O., Dmitriev P. N., Subsidence monitoring in the Imereti lowland (the Big Sochi region) using multifrequency INSAR data for 2007–2019, Sovremennye problemy distantsionnogo zondirovanija Zemli iz kosmosa, 2020, Vol. 17, No. 5, pp. 103–117 (in Russian), DOI: 10.21046/2070-7401-2020-17-5-103-113.
  9. 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, Vol. 18, No. 4, pp. 55–65 (in Russian), DOI: 10.21046/2070-7401-2021-18-4-55-65.
  10. Smolyaninova E. I., Mikhailov V. O., 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, Vol. 19, No. 4, pp. 141–149 (in Russian), DOI: 10.21046/2070-7401-2022-19-4-141-149.
  11. 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, Vol. 40, No. 11, pp. 2375–2383, DOI: 10.1109/TGRS.2002.803792.
  12. 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, Vol. 13, No. 24, Article 5136, https://doi.org/10.3390/rs13245136.
  13. 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, Vol. 216, Article 103574, https://doi.org/10.1016/j.earscirev.2021.103574.
  14. Moretto S., Bozzano F., Mazzanti P., The Role of Satellite In-SAR for Landslide Forecasting: Limitations and Openings, Remote Sensing, 2021, Vol. 13, Article 3735, https://doi.org/10.3390/rs13183735.
  15. Notti D., Herrera G., Bianchini S. et al., A methodology for improving landslide PSI data analysis, Intern. J. Remote Sensing, 2014, Vol. 35, No. 6, pp. 2186–2214, DOI: 10.1080/01431161.2014.889864.
  16. Solari L., Del Soldato M., Raspini F. et al., Review of Satellite Interferometry for Landslide Detection in Italy, Remote Sensing, 2020, Vol. 12, No. 8, Article 1351, 29 p., https://doi.org/10.3390/rs12081351.
  17. Zhang Y., Meng X. M., Dijkstra T. A. et al., Forecasting the magnitude of potential landslides based on InSAR techniques, Remote Sensing of Environment, 2020, Vol. 241, Article 111738, https://doi.org/10.1016/j.rse.2020.111738.