Present-Day Surface Deformation in North-East Italy Using InSAR and GNSS Data

Geodetic data can detect and estimate deformation signals and rates due to natural and anthropogenic phenomena. In the present study, we focus on northeastern Italy, an area characterized by ~1.5–3 mm/yr of convergence rates due to the collision of Adria-Eurasia plates and active subsidence along th...

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出版年:Remote Sensing
主要な著者: Giulia Areggi, Giuseppe Pezzo, John Peter Merryman Boncori, Letizia Anderlini, Giuliana Rossi, Enrico Serpelloni, David Zuliani, Lorenzo Bonini
フォーマット: 論文
言語:英語
出版事項: MDPI AG 2023-03-01
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オンライン・アクセス:https://www.mdpi.com/2072-4292/15/6/1704
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author Giulia Areggi
Giuseppe Pezzo
John Peter Merryman Boncori
Letizia Anderlini
Giuliana Rossi
Enrico Serpelloni
David Zuliani
Lorenzo Bonini
author_facet Giulia Areggi
Giuseppe Pezzo
John Peter Merryman Boncori
Letizia Anderlini
Giuliana Rossi
Enrico Serpelloni
David Zuliani
Lorenzo Bonini
author_sort Giulia Areggi
collection DOAJ
container_title Remote Sensing
description Geodetic data can detect and estimate deformation signals and rates due to natural and anthropogenic phenomena. In the present study, we focus on northeastern Italy, an area characterized by ~1.5–3 mm/yr of convergence rates due to the collision of Adria-Eurasia plates and active subsidence along the coasts. To define the rates and trends of tectonic and subsidence signals, we use a Multi-Temporal InSAR (MT-InSAR) approach called the Stanford Method for Persistent Scatterers (StaMPS), which is based on the detection of coherent and temporally stable pixels in a stack of single-master differential interferograms. We use Sentinel-1 SAR images along ascending and descending orbits spanning the 2015–2019 temporal interval as inputs for Persistent Scatterers InSAR (PSI) processing. We apply spatial-temporal filters and post-processing steps to reduce unrealistic results. Finally, we calibrate InSAR measurements using GNSS velocities derived from permanent stations available in the study area. Our results consist of mean ground velocity maps showing the displacement rates along the radar Line-Of-Sight for each satellite track, from which we estimate the east–west and vertical velocity components. Our results provide a detailed and original view of active vertical and horizontal displacement rates over the whole region, allowing the detection of spatial velocity gradients, which are particularly relevant to a better understanding of the seismogenic potential of the area. As regards the subsidence along the coasts, our measurements confirm the correlation between subsidence and the geological setting of the study area, with rates of ~2–4 mm/yr between the Venezia and Marano lagoons, and lower than 1 mm/yr near Grado.
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spelling doaj-art-efeea9fcedb14f2ebfcd26126a758cee2025-08-19T22:03:51ZengMDPI AGRemote Sensing2072-42922023-03-01156170410.3390/rs15061704Present-Day Surface Deformation in North-East Italy Using InSAR and GNSS DataGiulia Areggi0Giuseppe Pezzo1John Peter Merryman Boncori2Letizia Anderlini3Giuliana Rossi4Enrico Serpelloni5David Zuliani6Lorenzo Bonini7Istituto Nazionale di Geofisica e Vulcanologia, 40127 Bologna, ItalyIstituto Nazionale di Geofisica e Vulcanologia, 00143 Rome, ItalyDTU Space Institute, Technical University of Denmark, DK-2800 Kongens Lyngby, DenmarkIstituto Nazionale di Geofisica e Vulcanologia, 40127 Bologna, ItalyIstituto Nazionale di Oceanografia e di Geofisica Sperimentale-OGS, 34010 Sgonico, ItalyIstituto Nazionale di Geofisica e Vulcanologia, 40127 Bologna, ItalyIstituto Nazionale di Oceanografia e di Geofisica Sperimentale-OGS, 34010 Sgonico, ItalyDipartimento di Matematica e Geoscienze, Università di Trieste, 34128 Trieste, ItalyGeodetic data can detect and estimate deformation signals and rates due to natural and anthropogenic phenomena. In the present study, we focus on northeastern Italy, an area characterized by ~1.5–3 mm/yr of convergence rates due to the collision of Adria-Eurasia plates and active subsidence along the coasts. To define the rates and trends of tectonic and subsidence signals, we use a Multi-Temporal InSAR (MT-InSAR) approach called the Stanford Method for Persistent Scatterers (StaMPS), which is based on the detection of coherent and temporally stable pixels in a stack of single-master differential interferograms. We use Sentinel-1 SAR images along ascending and descending orbits spanning the 2015–2019 temporal interval as inputs for Persistent Scatterers InSAR (PSI) processing. We apply spatial-temporal filters and post-processing steps to reduce unrealistic results. Finally, we calibrate InSAR measurements using GNSS velocities derived from permanent stations available in the study area. Our results consist of mean ground velocity maps showing the displacement rates along the radar Line-Of-Sight for each satellite track, from which we estimate the east–west and vertical velocity components. Our results provide a detailed and original view of active vertical and horizontal displacement rates over the whole region, allowing the detection of spatial velocity gradients, which are particularly relevant to a better understanding of the seismogenic potential of the area. As regards the subsidence along the coasts, our measurements confirm the correlation between subsidence and the geological setting of the study area, with rates of ~2–4 mm/yr between the Venezia and Marano lagoons, and lower than 1 mm/yr near Grado.https://www.mdpi.com/2072-4292/15/6/1704multi-temporal InSARPSIGNSSgeodetic datatectonic signalssubsidence
spellingShingle Giulia Areggi
Giuseppe Pezzo
John Peter Merryman Boncori
Letizia Anderlini
Giuliana Rossi
Enrico Serpelloni
David Zuliani
Lorenzo Bonini
Present-Day Surface Deformation in North-East Italy Using InSAR and GNSS Data
multi-temporal InSAR
PSI
GNSS
geodetic data
tectonic signals
subsidence
title Present-Day Surface Deformation in North-East Italy Using InSAR and GNSS Data
title_full Present-Day Surface Deformation in North-East Italy Using InSAR and GNSS Data
title_fullStr Present-Day Surface Deformation in North-East Italy Using InSAR and GNSS Data
title_full_unstemmed Present-Day Surface Deformation in North-East Italy Using InSAR and GNSS Data
title_short Present-Day Surface Deformation in North-East Italy Using InSAR and GNSS Data
title_sort present day surface deformation in north east italy using insar and gnss data
topic multi-temporal InSAR
PSI
GNSS
geodetic data
tectonic signals
subsidence
url https://www.mdpi.com/2072-4292/15/6/1704
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