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Spaceborne SAR Interferometry or Time Machine for Geodetic Purposes

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Selected Proceedings of the 6th Space Resources Conference (SRC 2023)

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Abstract

Despite the systematic observations, the suitability of optical images acquired from the satellite might be reduced due to cloud coverage or night time acquisition. Such kind of limitations can be overcome by using satellites that are equipped with a synthetic aperture radar (SAR). Thus, each radar image from the collected database can be taken for processing. The InSAR processing and time series analysis, which consist of dozens of images of a certain area, allows not only to assess geodynamic changes that have occurred in the past but also to develop predictive models for future evaluation. This article contains a collection of results focusing on the usage of Sentinel-1 SAR data for solving geodetic and geodynamic tasks. Geodetic control conducted by the PSInSAR technique confirms dam stability in the vertical position. Measured movements correspond to seasonal deformations. As a result of processing 220 radar images, acquired by Sentinel-1 satellite over the territory of Kyiv peninsula in West Antarctica for the period from May 2015 to November 2022 we got 219 ice velocity maps. Statistical analysis of the obtained data allowed to develop an analytical model that could be used to predict the glacier velocity movement in the future. The Differential SAR Interferometry method was used for developing a deformation map that shows geodynamic activity affected by non-tidal atmospheric loading. Data verification performed by comparing the subsidence results on the deformation map with the altitude changes measured by the permanent GNSS station.

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Correspondence to Denys Kukhtar .

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Kukhtar, D. (2024). Spaceborne SAR Interferometry or Time Machine for Geodetic Purposes. In: Kołodziejczyk, A., Pyrkosz–Pacyna, J., Grabowski, K., Malinowska, K., Sergijenko, O. (eds) Selected Proceedings of the 6th Space Resources Conference. SRC 2023. Springer Aerospace Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-53610-6_1

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  • DOI: https://doi.org/10.1007/978-3-031-53610-6_1

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