Application of Sntinel-1 radar interferometric images for the monitoring of vertical displacements of the earth’s surface affected by non-tidal atmospheric loading

Authors

  • K.R. Tretyak
  • D.V. Kukhtar

DOI:

https://doi.org/10.24028/gj.v45i1.275180

Keywords:

GNSS time series, vertical displacement, non-tidal atmospheric loading, radar interferometry, Sentinel-1

Abstract

The vertical movements of the Earth’s surface affected by non-tidal atmospheric loading (NTAL) are analyzed using satellite radar interferometry data. A clear relationship between deformation maps data derived from radar interferometry data and the GNSS time series of permanent stations has been established. The object of the study was the areas around the GNSS stations BYCH (Buchach), GORD (Horodok), CRNT (Chernivtsi). The input data were four pairs of radar interferometric images for the specified areas.Radar satellite images were obtained from the Sentinel-1A spacecraft. Data type — SLC (Single Look Complex) with vertical polarization. Acquisition mode — wideband interferometric IW (Interferometric Wide Swath). Data were processed using SNAP (Sentinel Application Platform) software. The processing yileded maps of vertical displacement of the specified territories where the earth’s surface displacement caused by influence of non-tidal atmospheric loading had taken place. The values obtained on the basis of vertical displacement maps have a high agreement with the results of time series of changes in the altitude position of permanent GNSS stations. The results obtained in the article are of both scientific and practical importance for studying the impact of non-tidal atmospheric loading in large areas. The practical significance is in improving the accuracy of terrestrial geodetic measurements’ processing, in particular high-precision levelling. The research data allow to make corrections of the results of levelling for short-period displacements affected by the influence of non-tidal atmospheric loading (NTAL).

References

Amitrano, D., Guida, R., Di Martino, G., & Iodice, A. (2019). Glacier Monitoring Using Fre¬quen¬cy Domain Offset Tracking Applied to Sen¬tinel-1 Images: A Product Performance Com¬pa¬rison. Remote Sensing, 11(11), 1322. https://doi.org/ 10.3390/rs11111322.

Braun, A. (2021). Retrieval of digital elevation models from Sentinel-1 radar data — open applications, techniques, and limitations. Open Geosciences, 13(1), 532—569. https://doi.org/ 10.1515/geo-2020-0246.

Brusak, I., & Tretyak, K. (2020). About the phenomenon of subsidence in continental Europe in December 2019 based on the GNSS stations data. International Conference of Young Professionals «GeoTerrace-2020» (pp. 1—5). https://doi.org/10.3997/2214-4609.20205717.

Crosetto, M., Monserrat, O., Cuevas-González, M., Devanthéry, N., & Crippa, B. (2016). Persistent Scatterer Interferometry: A review. Journal of Photogrammetry and Remote Sensing, 115, 78— 89. https://doi.org/10.1016/j.isprsjprs.2015.10. 011.

Dach, R., Lutz, S., Walser, P., & Fridez, P. (Eds.). (2015). Bernese GNSS software, Version 5.2. https://doi.org/10.7892/boris.72297.

Dorosh, L., & Gera, O. (2020). Satellite monitoring of the mining lease areas using radar interferometry data. Proc. of the XXV International Scientific-Technical Conference «Geoforum-2020», April 1—3, 2020 (pp. 31—35).

ESMGFZ Product Repository; Earth System Modelling at GFZ. Retrieved from http://esmdata.gfz-potsdam.de.

Gobron, K., Rebischung, P., Van Camp, M., Demoulin, A., & Viron, O. (2021). Influence of aperiodic non-tidal atmospheric and oceanic loading deformations on the stochastic properties of global GNSS vertical land motion time series. Journal of Geophysical Research: Solid Earth, 126(9). https://doi.org/10.1029/2021JB022370.

Goldstein, R., & Werner, C. (1998). Radar interferogram filtering for geophysical applications. Geophysical Research Letters, 25(21), 4035—4038. https://doi.org/10.1029/1998GL900033.

Gómez, D., Salvador, P., Sanz, J., Urbazaev, M., & Casanova, J.L. (2020). Analyzing ice dynamics using Sentinel-1 data at the Solheimajoküll Glacier, Iceland. GIScience & Remote Sensing, 57(6), 813—829. https://doi.org/10.1080/15481603.2020.1814031.

Jungclaus, J.H., Fischer, N., Haak, H., Lohmann, K., Marotzke, J., Matei, D., Mikolaje-wicz, U., Notz, D., & von Storch, J.S. (2013). Characteristics of the ocean simulations in MPIOM, the ocean component of the MPI-Earth system model. Journal of Advances in Mo¬delingEarth Systems, 5(2), 422—446. https://doi.org/10.1002/jame.20023.

Klos, A., Dobslaw, H., Dill, R., & Bogusz, J. (2021). Identifying the sensitivity of GPS to non-tidal loadings at various time resolutions: examining vertical displacements from continental Eurasia. GPS Solutions, 25, 89. https://doi.org/10.1007/s10291-021-01135-w.

Kumar, D. (2021). Urban objects detection from C-band synthetic aperture radar (SAR) satellite images through simulating filter properties. Scientific Reports, 11, 6241. https://doi.org/10.1038/s41598-021-85121-9.

Li, S., Xu, W., & Li, Z. (2022). Review of the SBAS InSAR Time-series algorithms, applications, and challenges. Geodesy and Geodynamics, 13(2), 114—126. https://doi.org/10.1016/j.geog. 2021.09.007.

Lu, Z., Dzurisin, D., Biggs, J., Wicks, C.Jr., & McNutt, S. (2010). Ground surface defor-mation patterns, magma supply, and magma storage at Okmok volcano, Alaska, from InSAR analysis: 1. Intereruption deformation, 1997—2008. Journal of Geophysical Research, 115, B00B02. https://doi.org/10.1029/2009JB006969.

Mémin, A., Boy, J.P., & Santamaría-Gómez, A. (2020). Correcting GPS measurements for non-tidal loading. GPS Solutions, 24, 45. https://doi.org/10. 1007/s10291-020-0959-3.

Petit, G., & Luzum, B. (Eds.). (2010). IERS Conventions (IERS Technical Note; 36). Frankfurt am Main: Verlag des Bundesamts für Kartographie und Geodäsie.

Petrov, L. (2015). The international mass loading service. In REFAG 2014 (pp. 79—83). Springer, Cham. https://doi.org/10.1007/1345_2015_218.

Schaefer, L.N., Lu, Z., & Oommen, T. (2015). Dramatic volcanic instability revealed by InSAR. Geology, 43(8), 743—746. https://doi.org/10.1130/G36678.1.

Sheng, Y., Wang, Y., Ge, L., & Rizos, C. (2009). Differential radar interferometry and its application in monitoring underground coal mining-induced subsidence. Environmental Science. Retrieved from https://www.isprs.org/proceedings/XXXVIII/7-C4/227_GSEM2009.pdf.

Small, D., & Schubert, A. (2019). Guide to Sentinel-1 Geo¬coding. Retrieved from https://sentinel.esa.int/ documents/247904/1653442/Guide-to-Sentinel-1-Geocoding.pdf.

Stankevych, S.A., Svidenyuk, M.O., & Dudar, T.V. (2019). Radar interferometry time series analysis for land surface displacement detection within the uranium mining area in Ukraine. Ecological safety, 2(28), 18—23. http://doi.org/ 10.30929/2073-5057.2019.2.18-23 (in Ukrainian).

Tretyak, K., Brusak, I., Bubniak, I., & Zablotskyi, F. (2021). Impact of non-tidal atmospheric loading on civil engineering structures. Geodynamics, 2(31), 16—28. https://doi.org/10.23939/jgd2021.02.016

Tzouvaras, M., Danezis, C., & Hadjimitsis, D.G. (2020). Differential SAR Interferometry Using Sen¬tinel-1 Imagery-Limitations in Monitoring Fast Moving Landslides: The Case Study of Cyp¬rus. Geosciences, 10(6), 236. https://doi.org/10.3390/geosciences10060236.

Uglytskykh, Ye., Vyzhva, S., & Ivanik, O. (2020). Vertical displacement monitoring of Zakarpattya region territory based on radar interferometry data. Visnyk of Taras Shevchenko National Uni¬versity of Kyiv. Geology, (4), 94—99. http://doi.org/10.17721/1728-2713.91.13 (in Ukrainian).

VMF Data Server; editing status 2020-12-14; re3data.org — Registry of Research Data Repositories. http://doi.org/10.17616/R3RD2H.

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Published

2023-03-22

How to Cite

Tretyak, K., & Kukhtar, D. (2023). Application of Sntinel-1 radar interferometric images for the monitoring of vertical displacements of the earth’s surface affected by non-tidal atmospheric loading. Geofizicheskiy Zhurnal, 45(1). https://doi.org/10.24028/gj.v45i1.275180

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