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Estimation of earth’s surface moves and deformation of the territory of mine “Khotin” of Kalush-Golinskyy field by method of radar interferometry

    Maksym Pakshyn Affiliation
    ; Ivan Lyaska Affiliation
    ; Kostyantyn Burak Affiliation
    ; Vitaliy Kovtun Affiliation
    ; Liubov Dorosh Affiliation
    ; Mykola Hrynishak Affiliation
    ; Volodymyr Mykhailyshyn Affiliation
    ; Tetyana Grytsyuk Affiliation

Abstract

The article present processing techniques of radar data for calculating the deformations of the earth’s surface on the example of minefield, that is situated under the exogenous influence of underground workings of the “Khotin” minery Kalush-Golinskyy deposit. The estimation of accuracy of radar image processing methods, namely, the interferometry of the permanent radar scatterers and the interferometry of a series of small baseline lines, is made, by comparison with the results of processional geometric levelling with a short beam of deformation soil rappers of the profile lines of the mine field. On the basis of geodetic instrumental field observations, shells of sediments of the earth’s surface were constructed and the boundaries of zero deposition caused by deformation processes in the area of hollow fields were established. Working out of an array of measurements by two methods of interferometry allowed to put on the digital map the data that reflect the average sedimentation rates in the year at the radar measurement locations. Due to the ranking of average annual sedimentation rates, areas of interest were outlined where significant precipitation was observed. This made it possible to assert that the earth’s crust was caused by the anthropogenic influence on the Khotin miner, which was observed since 1977 and continues existing, albeit at lower speeds. The use of expensive and labour-intensive processional levelling only on pre-determined problem areas is rational both from a scientific and from a production point of view, as it allows better use of material and human resources. Therefore, there is a need for an integrated monitoring system to prevent an exogenous catastrophe on an ongoing basis.

Keyword : interferometry, deformation of the earth's surface, methods of remove sensing of the Earth, high-precision geometric levelling

How to Cite
Pakshyn, M., Lyaska, I., Burak, K., Kovtun, V., Dorosh, L., Hrynishak, M., Mykhailyshyn, V., & Grytsyuk, T. (2019). Estimation of earth’s surface moves and deformation of the territory of mine “Khotin” of Kalush-Golinskyy field by method of radar interferometry. Geodesy and Cartography, 45(1), 37-42. https://doi.org/10.3846/gac.2019.6300
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Apr 17, 2019
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References

Berardino, Р., Fornaro, G., Lanari, R., & Sansosti, E. (2002). A new algorithm for surface deformation monitoring based on Small Baseline differential SAR Interferometry. IEEE Aerospace and Electronic, 40(11).

Crosetto, M., Monserrat, O., Cuevas-González, M., Devanthéry, N., & Crippa, B. (2016). Persistent Scatterer Interferometry: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 115(2016), 78-89. https://doi.org/10.1016/j.isprsjprs.2015.10.011

Costantini, M., Falco, S., Malvarosa, F., & et al. (2009). Method of Persistent Scatterer Pairs (PSP) and high resolution SAR Interferometry. IGARSS. No. 3. https://doi.org/10.1109/IGARSS.2009.5417918

Ferretti, A., Monti-Guarnieri, A., Rrati, C., & Rossa, F. (2007). InSAR principles: Guidelines for SAR Interferometry Processing and Interpretation (TM-19, February 2007). ESA Publication (48 p.)

Feoktistov, A. A., Zakharov, A. I., Gusev, M. A., & Denisov, P. V. (2015). Study of the capabilities of the small baseline method using the example of the SBAS module of the SARscape software package and PCA data ASAR / ENVISAT and PALSAR / ALOS. Part 1. Key points of the method. Journal of Radio Electronics, 9. Retrieved from http://jre.cplire.ru/jre/sep15/1/text.html

Filatov, A. V., & Evtyushkin, A. V. (2009). Estimation of deformations of the earth’s surface in areas of intensive oil production in Western Siberia using X-ray diffraction by interferometry according to ENVISAT \ ASAR and ALOS \ PALSAR. Modern problems of remote sensing of the Earth from space, 6(2), 46-53.

Goel, K., & Adam, N. (2013). Distributed scatterer interferometry approach for precision monitoring of known surface deformation phenomena. IEEE Transactions on Geoscience and Remote Sensing, 52(9). https://doi.org/10.1109/TGRS.2013.2289370

Kantemirov, Yu. I. (2012). Brief theoretical foundations of radar interferometry and its multipass PS and SBASS variations. Geomatics, 1, 22-26.

Lyaska, I. І., Pakshin M. Yu., & Stasyuk, V. M. (2017). More information about the geodynamic processes in Ukraine using methods that are based on radio communications. Aerokosmіchni tekhnologії, 1, 15-22.

Melnikov, N. N., Kalashnik, A. I., & Kalashnik, N. A. (2014). On the need to ensure the geodynamic safety of oil and gas facilities in the Western sector of the Russian Arctic. Problems of the Arctic and Antarctic, 2(100), 95-103.

Mordvinov, I., Pakshin, M., Laskas, I., Zayats, O., Petrov, S., & Tretyak, K. (2018). Monitoring of vertical lines of the territory of “Polіmineral” from the interferometric methods of interfering methods of satellite radar spawn. Modern geodesic advances of sciences and industry, I (35), 220-226.

Rys, U. (2006). Basics of remote sensing. Moscow: Technosphere (336 p.).

Ramon, R. F. (2001). Radar interferometry: data interpretation and error analysis. Kluwer Academic Publishers.

Richards, M. (2007). A Beginner’s guide to interferometric SAR concepts and signal processing. IEEE Aerospace and Electronic, 22(9). https://doi.org/10.1109/MAES.2007.4350281

Verba, V. S., Neronsky, L. B., Osipov, I. G., & Turuk, V. E. (2010). Space-based ground observation radar systems. Moscow: Radio Engineering (432 p.).

Zakharov, A. I., & Khrenov N. N. (2004). Radar interferometric methods of Earth observation in the task of monitoring gas pipeline movements. Gas industry, 3, 44-48.