Журнал

About Editorial Board Information for authors and reviewers Publication ethics Contacts User Account: send / review a manuscript
Archive
Volume 21, 2024
Number 1 Number 2 Number 3 Number 4 Number 5
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, 2020, Vol. 17, No. 5, pp. 103-113

Subsidence monitoring in the Imereti lowland (the Big Sochi region) using multifrequency InSAR data for 2007–2019

E.I. Smolianinova 1 , V.O. Mikhailov 1 , P.N. Dmitriev 1 
1 Schmidt Institute of Physics of the Earth RAS, Moscow, Russia
Accepted: 29.07.2020
DOI: 10.21046/2070-7401-2020-17-5-103-113
The results of InSAR based estimation of subsidence of the surface and infrastructure of Olympic Park in the Imereti lowland are presented. We incorporated multifrequency SAR images covering the 12 year period from 2007 to 2019: ALOS-1 (18 acquisitions for 2007–2010), Envisat (13 acquisitions, 2011–2012), Sentinel-1 (more than 300 acquisitions, 2015–2019). Using the SAR data we identified 6 subsidence areas in the Imereti lowland. For the past two years maximum values of total subsidence have reached 150 mm. To process the images, we used ENVI SARscape and PS Stamps/MTI software. For all the datasets, we present maps of surface vertical displacements. Vertical movements were estimated as vertical projection of the line-of-sight displacements assuming horizontal displacements being negligibly small. That assumption was verified by comparing results from ascending and descending tracks. For each of the six subsidence areas, time-series of vertical displacements were compiled using all datasets available. The time-series graphs made it possible to identify the periods of stability and changing in time subsidence, correlate them with construction works being under way. The InSAR based displacement maps are in good agreement with field data. The identified subsidence is quite strong, thus regular monitoring of displacements of surface and infrastructure in the Olympic Park area incorporating InSAR methods is worthwhile.
Keywords: SAR, InSAR, satellite monitoring, ground subsidence, Sentinel-1, ALOS-1, ENVISAT, Imereti lowland, Big Sochi
Full text

References:

  1. Gudkova N. K., Monitoring geologicheskoi sredy olimpiiskikh obІektov v Sochi (Monitoring of geological environment of Olympic infrastructure), Sistemy kontrolya okruzhayushchei sredy, 2016, Vol. 3, No. 23, pp. 130–133.
  2. Dmitriev P. N., Golubev V. I., Isaev Yu. S., Kiseleva E. A., Mikhailov V. O., Smolyaninova E. I., Nekotorye problemy obrabotki i interpretatsii dannykh sputnikovoi radarnoi interferometrii na primere monitoringa opolznevykh protsessov (On processing and interpretation of the SAR interferometry data in the case of the landslide monitoring), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2012, Vol. 9, No. 2, pp. 130–142.
  3. Mikhailov V. O., Kiseleva E. A., Dmitriev P. N., Golubev V. I., Smolianinova E. I., Timoshkina E. P., Otsenka polnogo vektora smeshchenii zemnoi poverkhnosti i tekhnogennykh obІektov po dannym radarnoi sputnikovoi interferometrii dlya oblastei razrabotki mestorozhdenii nefti i gaza (Estimation of full vector of displacements of the earth’ surface and technogenic objects based on InSAR data applied to oil and gas production areas), Geofizicheskie issledovaniya, 2012, No. 3, pp. 5–17.
  4. Mikhailov V. O., Kiseleva E. A., Smolianinova 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 imagery 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.
  5. Potapov A. D., Leibman M. E., Lavrusevich A. A., Chernyshev S. N., Markova I. M., Bakalov A. Yu., Krasheninnikov V. S., Monitoring obІektov inzhenernoi zashchity na Imeretinskoi nizmennosti (Monitoring of engineering protection in the Imereti lowland), Geoekologiya, inzhenernaya geologiya, gidrogeologiya, geokriologiya, 2012, No. 5, pp. 406–413.
  6. Smolianinova E. I., Kiseleva E. A., Dmitriev P. N., Mikhailov V. O., O vozmozhnosti primeneniya RSA interferometrii s ispol’zovaniem snimkov so sputnikov Sentinel-1 pri izuchenii opolznevoi aktivnosti v raione gornogo klastera Bol’shogo Sochi (On the possibility of using Sentinel-1 SAR interferometry to study landslide activity in the mountain cluster of the Big Sochi area), Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 4, pp. 103–111.
  7. Smolianinova E. I., Kiseleva E. A., Mikhailov V. O., Primenenie RSA-interferometrii snimkov so sputnikov Sentinel-1 pri izuchenii oblastei aktivnykh deformatsii poverkhnosti v pribrezhnom raione Bol’shogo Sochi (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.
  8. Telkov F. S., Naumov M. S., Isakov V. A., Faktory inzhenerno-geologicheskogo riska na territorii Imeretinskoi nizmennosti (Engineering geological risk factors in the Imereti lowland), Problemy snizheniya prirodnykh opasnostei i riskov (Problems of Natural Risk and Danger Prevention), Proc. Intern. Scientific-Practical Conf. “Georisk-2012”, Moscow, 2012, Vol. 2, pp. 324–330.
  9. 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.
  10. Crosetto M., Monserrat O., Cuevas-González M., Devanthéry N., Crippa B., Persistent Scatterer Interferometry: A review, ISPRS J. Photogrammetry and Remote Sensing, 2016, Vol. 115, pp. 78–89, DOI: 10.1016/j.isprsjprs.2015.10.011.
  11. Kiseleva E., Mikhailov V., Smolyaninova E., Dmitriev P., Golubev V., Timoshkina E., Hooper A., Samiei-Esfahany S., Hanssen R., PS-InSAR monitoring of landslide activity in the Black Sea coast of the Caucasus, Proceeding Technology, 2014, Vol. 16, pp. 404–413, DOI: 10.1016/j.protcy.2014.10.106.
  12. Solari L., Del Soldato M., Bianchini S., Ciampalini A., Ezquerro P., Montalti R., Raspini F., Moretti S., From ERS 1/2 to Sentinel-1: Subsidence Monitoring in Italy in the Last Two Decades, Frontiers in Earth Science, 2018, Vol. 6, Art. 149, 16 p., available at: https://doi.org/10.3389/feart.2018.00149.
  13. Tomás R., Romero R., Mulas J., Marturià J. J., Mallorquí J. J., Lopez-Sanchez J. M., Herrera G., Gutiérrez F., González P. J., Fernández J., Duque S., Concha-Dimas A., Cocksley G., Castañeda C., Carrasco D., Blanco P., Radar interferometry techniques for the study of ground subsidence phenomena: A review of practical issues through cases in Spain, Environmental Earth Sciences, 2014, Vol. 71, pp. 163–181, available at: http://dx.doi.org/10.1007/s12665-013-2422-z.