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

Vollrath, Andreas; Zucca, Francesco; Bekaert, David; Bonforte, Alessandro; Guglielmino, Francesco; Hooper, Andrew J.; Stramondo, Salvatore

doi:10.3390/rs9010033

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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

^1,*,

^1,†,

^2,3,†,

^4,†,

Francesco Guglielmino

^4,†,

Andrew J. Hooper

^3,† and

Salvatore Stramondo

^5,†

Department of Earth and Environmental Science, University of Pavia, Via Ferrata 1, 27100 Pavia, Italy

Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA

COMET, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UK

⁴

Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione di Catania—Osservatorio Etneo, Piazza Roma 2, 95125 Catania, Italy

⁵

Istituto Nazionale di Geofisica e Vulcanologia (INGV), Via di Vigna Murata, 605, 00143 Roma, Italy

Author to whom correspondence should be addressed.

^†

These authors contributed equally to this work.

Academic Editors: Nicolas Baghdadi, Xiaofeng Li and Prasad S. Thenkabail

Remote Sens. 2017, 9(1), 33; https://doi.org/10.3390/rs9010033

Received: 23 August 2016 / Revised: 24 November 2016 / Accepted: 22 December 2016 / Published: 4 January 2017

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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. View Full-Text

Keywords: DInSAR time-series; StaMPS; TRAIN; SISTEM; tropospheric correction; GPS; joint inversion; neotectonics

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MDPI and ACS Style

Vollrath, A.; Zucca, F.; Bekaert, D.; Bonforte, A.; Guglielmino, F.; Hooper, A.J.; Stramondo, S. 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. Remote Sens. 2017, 9, 33. https://doi.org/10.3390/rs9010033

AMA Style

Vollrath A, Zucca F, Bekaert D, Bonforte A, Guglielmino F, Hooper AJ, Stramondo S. 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. Remote Sensing. 2017; 9(1):33. https://doi.org/10.3390/rs9010033

Chicago/Turabian Style

Vollrath, Andreas, Francesco Zucca, David Bekaert, Alessandro Bonforte, Francesco Guglielmino, Andrew J. Hooper, and Salvatore Stramondo. 2017. "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" Remote Sensing 9, no. 1: 33. https://doi.org/10.3390/rs9010033

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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

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