Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground Deformations

In the last few years, several advances have been made in the use of radar images to detect, map and monitor ground deformations. DInSAR (Differential Synthetic Aperture Radar Interferometry) and A-DInSAR/PSI (Advanced DInSAR/Persistent Scatterers Interferometry) technologies have been successfully...

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Main Authors: Fausto Guzzetti, Nicola Casagli, Sandro Moretti, Davide Colombo, Oscar Mora, Francisco Sánchez, Gerardo Herrera, Hugo Retzo, Tazio Strozzi, Maria Przylucka, Anna Piatkowska, Marek Graniczny, Zbigniew Kowalski, Károly Rádi, Silvia Bianchini, Immaculada Garcia, Balázs Füsi, Zsuzsa Villő Deák, Paola Reichenbach, Rosa Maria Mateos, Alessandro Cesare Mondini, Luca Paglia, Francesca Ardizzone, Fabiana Calò, Andrea Ciampalini, Michele Manunta, Chiara Del Ventisette
Format: Article
Language:English
Published: MDPI AG 2013-08-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/5/8/3896
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author Fausto Guzzetti
Nicola Casagli
Sandro Moretti
Davide Colombo
Oscar Mora
Francisco Sánchez
Gerardo Herrera
Hugo Retzo
Tazio Strozzi
Maria Przylucka
Anna Piatkowska
Marek Graniczny
Zbigniew Kowalski
Károly Rádi
Silvia Bianchini
Immaculada Garcia
Balázs Füsi
Zsuzsa Villő Deák
Paola Reichenbach
Rosa Maria Mateos
Alessandro Cesare Mondini
Luca Paglia
Francesca Ardizzone
Fabiana Calò
Andrea Ciampalini
Michele Manunta
Chiara Del Ventisette
author_facet Fausto Guzzetti
Nicola Casagli
Sandro Moretti
Davide Colombo
Oscar Mora
Francisco Sánchez
Gerardo Herrera
Hugo Retzo
Tazio Strozzi
Maria Przylucka
Anna Piatkowska
Marek Graniczny
Zbigniew Kowalski
Károly Rádi
Silvia Bianchini
Immaculada Garcia
Balázs Füsi
Zsuzsa Villő Deák
Paola Reichenbach
Rosa Maria Mateos
Alessandro Cesare Mondini
Luca Paglia
Francesca Ardizzone
Fabiana Calò
Andrea Ciampalini
Michele Manunta
Chiara Del Ventisette
author_sort Fausto Guzzetti
collection DOAJ
description In the last few years, several advances have been made in the use of radar images to detect, map and monitor ground deformations. DInSAR (Differential Synthetic Aperture Radar Interferometry) and A-DInSAR/PSI (Advanced DInSAR/Persistent Scatterers Interferometry) technologies have been successfully applied in the study of deformation phenomena induced by, for example, active tectonics, volcanic activity, ground water exploitation, mining, and landslides, both at local and regional scales. In this paper, the existing European Space Agency (ESA) archives (acquired as part of the FP7-DORIS project), which were collected by the ERS-1/2 and ENVISAT satellites operating in the microwave C-band, were analyzed and exploited to understand the dynamics of landslide and subsidence phenomena. In particular, this paper presents the results obtained as part of the FP7-DORIS project to demonstrate that the full exploitation of very long deformation time series (more than 15 years) can play a key role in understanding the dynamics of natural and human-induced hazards.
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spelling doaj.art-9f48cbd6f442454094bfa430f5daf0332022-12-21T17:15:30ZengMDPI AGRemote Sensing2072-42922013-08-01583896391710.3390/rs5083896Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground DeformationsFausto GuzzettiNicola CasagliSandro MorettiDavide ColomboOscar MoraFrancisco SánchezGerardo HerreraHugo RetzoTazio StrozziMaria PrzyluckaAnna PiatkowskaMarek GranicznyZbigniew KowalskiKároly RádiSilvia BianchiniImmaculada GarciaBalázs FüsiZsuzsa Villő DeákPaola ReichenbachRosa Maria MateosAlessandro Cesare MondiniLuca PagliaFrancesca ArdizzoneFabiana CalòAndrea CiampaliniMichele ManuntaChiara Del VentisetteIn the last few years, several advances have been made in the use of radar images to detect, map and monitor ground deformations. DInSAR (Differential Synthetic Aperture Radar Interferometry) and A-DInSAR/PSI (Advanced DInSAR/Persistent Scatterers Interferometry) technologies have been successfully applied in the study of deformation phenomena induced by, for example, active tectonics, volcanic activity, ground water exploitation, mining, and landslides, both at local and regional scales. In this paper, the existing European Space Agency (ESA) archives (acquired as part of the FP7-DORIS project), which were collected by the ERS-1/2 and ENVISAT satellites operating in the microwave C-band, were analyzed and exploited to understand the dynamics of landslide and subsidence phenomena. In particular, this paper presents the results obtained as part of the FP7-DORIS project to demonstrate that the full exploitation of very long deformation time series (more than 15 years) can play a key role in understanding the dynamics of natural and human-induced hazards.http://www.mdpi.com/2072-4292/5/8/3896landslidessubsidenceSAR Interferometrydeformation time seriesground deformation dynamics
spellingShingle Fausto Guzzetti
Nicola Casagli
Sandro Moretti
Davide Colombo
Oscar Mora
Francisco Sánchez
Gerardo Herrera
Hugo Retzo
Tazio Strozzi
Maria Przylucka
Anna Piatkowska
Marek Graniczny
Zbigniew Kowalski
Károly Rádi
Silvia Bianchini
Immaculada Garcia
Balázs Füsi
Zsuzsa Villő Deák
Paola Reichenbach
Rosa Maria Mateos
Alessandro Cesare Mondini
Luca Paglia
Francesca Ardizzone
Fabiana Calò
Andrea Ciampalini
Michele Manunta
Chiara Del Ventisette
Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground Deformations
Remote Sensing
landslides
subsidence
SAR Interferometry
deformation time series
ground deformation dynamics
title Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground Deformations
title_full Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground Deformations
title_fullStr Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground Deformations
title_full_unstemmed Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground Deformations
title_short Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground Deformations
title_sort exploitation of large archives of ers and envisat c band sar data to characterize ground deformations
topic landslides
subsidence
SAR Interferometry
deformation time series
ground deformation dynamics
url http://www.mdpi.com/2072-4292/5/8/3896
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