气候变化领域集成服务门户(CCPortal): Investigation of the ground displacement in Saint Petersburg, Russia, using multiple-track differential synthetic aperture radar interferometry

CCPortal

DOI	10.1016/j.jag.2020.102050
	Investigation of the ground displacement in Saint Petersburg, Russia, using multiple-track differential synthetic aperture radar interferometry
	Wang Q.; Zhao Q.; Ding J.; Fedotov A.A.; Badenko V.; Liu M.; Pepe A.
发表日期	2020
ISSN	15698432
卷号	87
英文摘要	Global sea level rise and local land subsidence might exacerbate the risk of flooding in coastal plains. Among other cities, this is also the case for the high-latitude city of St. Petersburg, which has long been threatened by flood events. To protect the urban area from storm surges, the Union of Soviet Socialist Republics (USSR) in 1978 approved the construction of the 25 km long Flood Prevention Facility Complex (FPFC), which was completed in 2011. The risk of flooding in the city area of St. Petersburg is amplified by the fact that large sections of the coastal area have been reclaimed from the sea. In this study, we investigate the temporal evolution of the ground displacement in St. Petersburg. To this end, we perform an extended analysis based on the application of a simplified version of the differential interferometric synthetic aperture radar technique, known as the minimum acceleration (MinA) approach. The MinA algorithm is a multi-satellite/multi-track interferometric combination technique that allows working with multiple sets of SAR images. The method allowed generation of time series of two-dimensional (2-D) (i.e. East-West and Up-Down) deformation of the terrain by processing two sequences of Sentinel-1A/B (S-1A/B) SAR images acquired from 2016 to 2018, along the ascending and descending flight passes. The Small BAseline Subset (SBAS) algorithm was independently applied to the two sets of SAR data to generate the relevant Line-Of-Sight (LOS)-projected ground deformation time series. Subsequently, the LOS-projected deformation products were geocoded and jointly combined. The results indicate that the deformation in the city is predominantly vertical (i.e. it is subsiding) with a maximum subsidence rate of about 20 mm/year corresponding to the newly sea-reclaimed lands. Finally, the error budget of the retrieved 2-D deformation time series has also been addressed. © 2020 The Authors
英文关键词	Flooding; Ground displacements; Synthetic aperture radar interferometry
语种	英语
scopus关键词	algorithm; displacement; flooding; radar imagery; radar interferometry; synthetic aperture radar; temporal evolution; time series analysis; Russian Federation; Saint Petersburg
来源期刊	International Journal of Applied Earth Observation and Geoinformation
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156431
作者单位	Key Laboratory of Geographical Information Science, Ministry of Education, East China Normal University, Shanghai, 200062, China; Institute of Eco-Chongming (IEC), East China Normal University, Shanghai, 202162, China; School of Geographic Sciences, East China Normal University, Shanghai, 200241, China; Peter the Great St. Petersburg Polytechnic University, Civil Engineering Institute, 195251 Polytechnicheskaya 29, Russian Federation; Institute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council, 328 Diocleziano, Napoli, 80124, Italy
推荐引用方式 GB/T 7714	Wang Q.,Zhao Q.,Ding J.,et al. Investigation of the ground displacement in Saint Petersburg, Russia, using multiple-track differential synthetic aperture radar interferometry[J],2020,87.
APA	Wang Q..,Zhao Q..,Ding J..,Fedotov A.A..,Badenko V..,...&Pepe A..(2020).Investigation of the ground displacement in Saint Petersburg, Russia, using multiple-track differential synthetic aperture radar interferometry.International Journal of Applied Earth Observation and Geoinformation,87.
MLA	Wang Q.,et al."Investigation of the ground displacement in Saint Petersburg, Russia, using multiple-track differential synthetic aperture radar interferometry".International Journal of Applied Earth Observation and Geoinformation 87(2020).