Monitoring Displacements and Damage Detection through Satellite MT-InSAR Techniques: A New Methodology and Application to a Case Study in Rome (Italy)

Satellite interferometry has recently developed as a powerful tool for monitoring displacements on structures for structural health monitoring (SHM), as it allows obtaining information on past deformation and performing back analysis on structural behavior. Despite the increasing literature on this...

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Main Authors: Gianmarco Bonaldo, Amedeo Caprino, Filippo Lorenzoni, Francesca da Porto
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/5/1177
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author Gianmarco Bonaldo
Amedeo Caprino
Filippo Lorenzoni
Francesca da Porto
author_facet Gianmarco Bonaldo
Amedeo Caprino
Filippo Lorenzoni
Francesca da Porto
author_sort Gianmarco Bonaldo
collection DOAJ
description Satellite interferometry has recently developed as a powerful tool for monitoring displacements on structures for structural health monitoring (SHM), as it allows obtaining information on past deformation and performing back analysis on structural behavior. Despite the increasing literature on this subject, the lack of protocols for applying and interpreting interferometric data for structural assessment prevents these techniques from being employed alongside conventional SHM. This paper proposes a methodology for exploiting satellite interferometric data aiming at remotely detecting displacements and buildings’ criticalities at different levels of analysis, i.e., urban scale and single-building scale. Moreover, this research exploits the capability of satellite monitoring for damage diagnosis, comparing the millimeter scale displacements to information derived from on-site inspections. Different data-driven algorithms were applied to detect seasonal and irreversible components of displacements, such as statistical models for damage identification derived from traditional on-site monitoring. Thus, the proposed methodology was applied to a XVI-century case study located in the city center of Rome (Italy), Palazzo Primoli, and two stocks of COSMO-SkyMed (CSK) images processed through the Small BAseline Subset Differential Interferometry (SBAS-DInSAR) technique were used to assess displacements for an eight-year-long (between 2011 and 2019) monitoring period.
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spelling doaj.art-bc3bd0adbbc44faa94d97ad6654481012023-11-17T08:29:26ZengMDPI AGRemote Sensing2072-42922023-02-01155117710.3390/rs15051177Monitoring Displacements and Damage Detection through Satellite MT-InSAR Techniques: A New Methodology and Application to a Case Study in Rome (Italy)Gianmarco Bonaldo0Amedeo Caprino1Filippo Lorenzoni2Francesca da Porto3Department of Geosciences, University of Padova, Via Gradenigo 6, 35131 Padova, ItalyDepartment of Geosciences, University of Padova, Via Gradenigo 6, 35131 Padova, ItalyDepartment of Geosciences, University of Padova, Via Gradenigo 6, 35131 Padova, ItalyDepartment of Geosciences, University of Padova, Via Gradenigo 6, 35131 Padova, ItalySatellite interferometry has recently developed as a powerful tool for monitoring displacements on structures for structural health monitoring (SHM), as it allows obtaining information on past deformation and performing back analysis on structural behavior. Despite the increasing literature on this subject, the lack of protocols for applying and interpreting interferometric data for structural assessment prevents these techniques from being employed alongside conventional SHM. This paper proposes a methodology for exploiting satellite interferometric data aiming at remotely detecting displacements and buildings’ criticalities at different levels of analysis, i.e., urban scale and single-building scale. Moreover, this research exploits the capability of satellite monitoring for damage diagnosis, comparing the millimeter scale displacements to information derived from on-site inspections. Different data-driven algorithms were applied to detect seasonal and irreversible components of displacements, such as statistical models for damage identification derived from traditional on-site monitoring. Thus, the proposed methodology was applied to a XVI-century case study located in the city center of Rome (Italy), Palazzo Primoli, and two stocks of COSMO-SkyMed (CSK) images processed through the Small BAseline Subset Differential Interferometry (SBAS-DInSAR) technique were used to assess displacements for an eight-year-long (between 2011 and 2019) monitoring period.https://www.mdpi.com/2072-4292/15/5/1177satellite interferometryCOSMO-SkyMedSBAS-DInSARMT-InSARdeformation time seriesdamage assessment
spellingShingle Gianmarco Bonaldo
Amedeo Caprino
Filippo Lorenzoni
Francesca da Porto
Monitoring Displacements and Damage Detection through Satellite MT-InSAR Techniques: A New Methodology and Application to a Case Study in Rome (Italy)
Remote Sensing
satellite interferometry
COSMO-SkyMed
SBAS-DInSAR
MT-InSAR
deformation time series
damage assessment
title Monitoring Displacements and Damage Detection through Satellite MT-InSAR Techniques: A New Methodology and Application to a Case Study in Rome (Italy)
title_full Monitoring Displacements and Damage Detection through Satellite MT-InSAR Techniques: A New Methodology and Application to a Case Study in Rome (Italy)
title_fullStr Monitoring Displacements and Damage Detection through Satellite MT-InSAR Techniques: A New Methodology and Application to a Case Study in Rome (Italy)
title_full_unstemmed Monitoring Displacements and Damage Detection through Satellite MT-InSAR Techniques: A New Methodology and Application to a Case Study in Rome (Italy)
title_short Monitoring Displacements and Damage Detection through Satellite MT-InSAR Techniques: A New Methodology and Application to a Case Study in Rome (Italy)
title_sort monitoring displacements and damage detection through satellite mt insar techniques a new methodology and application to a case study in rome italy
topic satellite interferometry
COSMO-SkyMed
SBAS-DInSAR
MT-InSAR
deformation time series
damage assessment
url https://www.mdpi.com/2072-4292/15/5/1177
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