Title | ||
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The 2015-2016 Ground Displacements of the Shanghai Coastal Area Inferred from a Combined COSMO-SkyMed/Sentinel-1 DInSAR Analysis. |
Abstract | ||
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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. |
Year | DOI | Venue |
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2017 | 10.3390/rs9111194 | REMOTE SENSING |
Keywords | Field | DocType |
DInSAR,deformation,multi-pass interferometry,small baseline,Sentinel-1A | Residual,Synthetic aperture radar interferometry,Synthetic aperture radar,Remote sensing,GNSS augmentation,Subsidence,Acceleration,Deformation (mechanics),Geology | Journal |
Volume | Issue | ISSN |
9 | 11 | 2072-4292 |
Citations | PageRank | References |
3 | 0.39 | 12 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lei Yu | 1 | 3 | 0.39 |
Tianliang Yang | 2 | 3 | 0.73 |
qing zhao | 3 | 12 | 4.24 |
Min Liu | 4 | 56 | 16.44 |
Antonio Pepe | 5 | 183 | 30.06 |