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
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 complicat...
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doaj-dc2a0c3c754e4ee4ad30ae9f1d8432d12020-11-24T20:55:07ZengMDPI AGRemote Sensing2072-42922017-01-01913310.3390/rs9010033rs9010033Decomposing DInSAR Time-Series into 3-D in Combination with GPS in the Case of Low Strain Rates: An Application to the Hyblean Plateau, Sicily, ItalyAndreas Vollrath0Francesco Zucca1David Bekaert2Alessandro Bonforte3Francesco Guglielmino4Andrew J. Hooper5Salvatore Stramondo6Department of Earth and Environmental Science, University of Pavia, Via Ferrata 1, 27100 Pavia, ItalyDepartment of Earth and Environmental Science, University of Pavia, Via Ferrata 1, 27100 Pavia, ItalyJet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USAIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione di Catania—Osservatorio Etneo, Piazza Roma 2, 95125 Catania, ItalyIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione di Catania—Osservatorio Etneo, Piazza Roma 2, 95125 Catania, ItalyCOMET, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, UKIstituto Nazionale di Geofisica e Vulcanologia (INGV), Via di Vigna Murata, 605, 00143 Roma, ItalyDifferential 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.http://www.mdpi.com/2072-4292/9/1/33DInSAR time-seriesStaMPSTRAINSISTEMtropospheric correctionGPSjoint inversionneotectonics |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Andreas Vollrath Francesco Zucca David Bekaert Alessandro Bonforte Francesco Guglielmino Andrew J. Hooper Salvatore Stramondo |
spellingShingle |
Andreas Vollrath Francesco Zucca David Bekaert Alessandro Bonforte Francesco Guglielmino Andrew J. Hooper Salvatore Stramondo 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 DInSAR time-series StaMPS TRAIN SISTEM tropospheric correction GPS joint inversion neotectonics |
author_facet |
Andreas Vollrath Francesco Zucca David Bekaert Alessandro Bonforte Francesco Guglielmino Andrew J. Hooper Salvatore Stramondo |
author_sort |
Andreas Vollrath |
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 |
title_short |
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 |
title_full |
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 |
title_fullStr |
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 |
title_full_unstemmed |
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 |
title_sort |
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 |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2017-01-01 |
description |
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. |
topic |
DInSAR time-series StaMPS TRAIN SISTEM tropospheric correction GPS joint inversion neotectonics |
url |
http://www.mdpi.com/2072-4292/9/1/33 |
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