Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/11190
Authors: Vollrath, Andreas* 
Zucca, Francesco* 
Bekaert, David* 
Bonforte, Alessandro* 
Guglielmino, Francesco* 
Hooper, Andrew* 
Stramondo, Salvatore* 
Title: Decomposing DInSAR Time-Series into 3-D in Combination with GPS in the Case of Low Strain Rates: An Application to the Hyblean Plateau, Sicily, Italy
Journal: Remote Sensing 
Series/Report no.: /9 (2017)
Issue Date: Jan-2017
DOI: 10.3390/rs9010033
Keywords: DInSAR time-series
StaMPS
STRAIN
SISTEM
tropospheric correction
GPS
joint inversion
neotectonics
Subject Classification04.07. Tectonophysics 
04.03. Geodesy 
05.06. Methods 
Abstract: Differential Interferometric SAR (DInSAR) time-series techniques can be used to derive surface displacement rates with accuracies of 1 mm/year, by measuring the one-dimensional distance change between a satellite and the surface over time. However, the slanted direction of the measurements complicates interpretation of the signal, especially in regions that are subject to multiple deformation processes. The Simultaneous and Integrated Strain Tensor Estimation from Geodetic and Satellite Deformation Measurements (SISTEM) algorithm enables decomposition into a three-dimensional velocity field through joint inversion with GNSS measurements, but has never been applied to interseismic deformation where strain rates are low. Here, we apply SISTEM for the first time to detect tectonic deformation on the Hyblean Foreland Plateau in South-East Sicily. In order to increase the signal-to-noise ratio of the DInSAR data beforehand, we reduce atmospheric InSAR noise using a weather model and combine it with a multi-directional spatial filtering technique. The resultant three-dimensional velocity field allows identification of anthropogenic, as well as tectonic deformation, with sub-centimeter accuracies in areas of sufficient GPS coverage. Our enhanced method allows for a more detailed view of ongoing deformation processes as compared to the single use of either GNSS or DInSAR only and thus is suited to improve assessments of regional seismic hazard.
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