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Remote Sens. 2017, 9(11), 1194; https://doi.org/10.3390/rs9111194

The 2015–2016 Ground Displacements of the Shanghai Coastal Area Inferred from a Combined COSMO-SkyMed/Sentinel-1 DInSAR Analysis

1,2,3,4,5,6
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1,2,3,4,5,6,* , 1,3,6
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1
Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
2
Key Laboratory of Land Subsidence Monitoring and Prevention, Ministry of Land and Resources, Shanghai 200072, China
3
School of Geographic Sciences, East China Normal University, Shanghai 200241, China
4
Laboratory for Environmental Remote Sensing and Data Assimilation, East China Normal University, Shanghai 200062, China
5
ECNU-CSU Joint Research Institute for New Energy and the Environment, East China Normal University, Shanghai 200062, China
6
Chongming ECO Institute, East China Normal University, Shanghai 200241, China
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Shanghai Engineering Research Center of Land Subsidence, Shanghai 200072, China
8
Shanghai Institute of Geological Survey, Shanghai 200072, China
9
Institute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council, 328Diocleziano, Napoli 80124, Italy
*
Author to whom correspondence should be addressed.
Received: 21 September 2017 / Revised: 10 November 2017 / Accepted: 15 November 2017 / Published: 21 November 2017
(This article belongs to the Special Issue Radar Interferometry for Geohazards)
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Abstract

In this work, ground deformation of the Shanghai coastal area is inferred by using the multiple-satellite Differential Synthetic Aperture Radar interferometry (DInSAR) approach, also known as the minimum acceleration (MinA) combination algorithm. The MinA technique allows discrimination and time-evolution monitoring of the inherent two-dimensional components (i.e., with respect to east-west and up-down directions) of the ongoing deformation processes. It represents an effective post-processing tool that allows an easy combination of preliminarily-retrieved multiple-satellite Line-Of-Sight-projected displacement time-series, obtained by using one (or more) of the currently available multi-pass DInSAR toolboxes. Specifically, in our work, the well-known small baseline subset (SBAS) algorithm has been exploited to recover LOS deformation time-series from two sets of Synthetic Aperture Radar (SAR) data relevant to the coast of Shanghai, collected from 2014 to 2017 by the COSMO-SkyMed (CSK) and the Sentinel-1A (S1-A) sensors. The achieved results evidence that the Shanghai ocean-reclaimed areas were still subject to residual deformations in 2016, with maximum subsidence rates of about 30 mm/year. Moreover, the investigation has revealed that the detected deformations are predominantly vertical, whereas the east-west deformations are less significant. View Full-Text
Keywords: DInSAR; deformation; multi-pass interferometry; small baseline; Sentinel-1A DInSAR; deformation; multi-pass interferometry; small baseline; Sentinel-1A
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Yu, L.; Yang, T.; Zhao, Q.; Liu, M.; Pepe, A. The 2015–2016 Ground Displacements of the Shanghai Coastal Area Inferred from a Combined COSMO-SkyMed/Sentinel-1 DInSAR Analysis. Remote Sens. 2017, 9, 1194.

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