Sentinel-1 A-DInSAR approaches to map and monitor ground displacements

Persistent scatterer interferometry (PSI) is a group of advanced interferometric synthetic aperture radar (SAR) techniques used to measure and monitor terrain deformation. Sentinel-1 has improved the data acquisition throughout and, compared to previous sensors, increased considerably the differenti...

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Autores: Krishnakumar, Vrinda, Qiu, Z, Monserrat Hernández, Oriol, Barra, Anna|||0000-0001-6254-7931, López-Vinielles, Juan, Gao, Qi, Palamá, Riccardo, Gili Ripoll, José Antonio|||0000-0003-4718-2545
Formato: artículo
Fecha de publicación:2021
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/365771
Acesso em linha:https://hdl.handle.net/2117/365771
https://dx.doi.org/10.3390/rs13061120
Access Level:acceso abierto
Palavra-chave:Remote sensing
Synthetic aperture radar
Interferometry
Sentinel-1
Deformation
DInSAR
Teledetecció
Interferometria
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
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spelling Sentinel-1 A-DInSAR approaches to map and monitor ground displacementsKrishnakumar, VrindaQiu, ZMonserrat Hernández, OriolBarra, Anna|||0000-0001-6254-7931López-Vinielles, JuanGao, QiPalamá, RiccardoGili Ripoll, José Antonio|||0000-0003-4718-2545Remote sensingSynthetic aperture radarInterferometrySentinel-1InterferometryDeformationDInSARTeledeteccióInterferometriaÀrees temàtiques de la UPC::Enginyeria de la telecomunicacióPersistent scatterer interferometry (PSI) is a group of advanced interferometric synthetic aperture radar (SAR) techniques used to measure and monitor terrain deformation. Sentinel-1 has improved the data acquisition throughout and, compared to previous sensors, increased considerably the differential interferometric SAR (DInSAR) and PSI deformation monitoring potential. The low density of persistent scatterer (PS) in non-urban areas is a critical issue in DInSAR and has inspired the development of alternative approaches and refinement of the PS chains. This paper proposes two different and complementary data-driven procedures to obtain terrain deformation maps. These approaches aim to exploit Sentinel-1 highly coherent interferograms and their short revisit time. The first approach, called direct integration (DI), aims at providing a very fast and straightforward approach to screen-wide areas and easily detects active areas. This approach fully exploits the coherent interferograms from consecutive images provided by Sentinel-1, resulting in a very high sampling density. However, it lacks robustness and its usability lays on the operator experience. The second method, called persistent scatterer interferometry geomatics (PSIG) short temporal baseline, provides a constrained application of the PSIG chain, the CTTC approach to the PSI. It uses short temporal baseline interferograms and does not assume any deformation model for point selection. It is also quite a straightforward approach, which improves the performances of the standard PSIG approach, increasing the PS density and providing robust measurements. The effectiveness of the approaches is illustrated through analyses performed on different test sites.This work has been partially funded by AGAUR, Generalitat de Catalunya, through a grant for the recruitment of early-stage research staff (Ref: FI_B 00741) and through the Consolidated Research Group RSE, “Remote Sensing” (Ref: 2017-SGR-00729). It has been also partially funded by the Spanish Ministry of Economy and Competitiveness through the DEMOS project “Deformation monitoring using Sentinel-1 data” (Ref: CGL2017-83704-P) and by AGAUR.Peer ReviewedMultidisciplinary Digital Publishing Institute (MDPI)20212021-03-1620222022-04-12journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/365771https://dx.doi.org/10.3390/rs13061120reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivs 3.0 Spainhttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3657712026-05-27T15:37:01Z
dc.title.none.fl_str_mv Sentinel-1 A-DInSAR approaches to map and monitor ground displacements
title Sentinel-1 A-DInSAR approaches to map and monitor ground displacements
spellingShingle Sentinel-1 A-DInSAR approaches to map and monitor ground displacements
Krishnakumar, Vrinda
Remote sensing
Synthetic aperture radar
Interferometry
Sentinel-1
Interferometry
Deformation
DInSAR
Teledetecció
Interferometria
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
title_short Sentinel-1 A-DInSAR approaches to map and monitor ground displacements
title_full Sentinel-1 A-DInSAR approaches to map and monitor ground displacements
title_fullStr Sentinel-1 A-DInSAR approaches to map and monitor ground displacements
title_full_unstemmed Sentinel-1 A-DInSAR approaches to map and monitor ground displacements
title_sort Sentinel-1 A-DInSAR approaches to map and monitor ground displacements
dc.creator.none.fl_str_mv Krishnakumar, Vrinda
Qiu, Z
Monserrat Hernández, Oriol
Barra, Anna|||0000-0001-6254-7931
López-Vinielles, Juan
Gao, Qi
Palamá, Riccardo
Gili Ripoll, José Antonio|||0000-0003-4718-2545
author Krishnakumar, Vrinda
author_facet Krishnakumar, Vrinda
Qiu, Z
Monserrat Hernández, Oriol
Barra, Anna|||0000-0001-6254-7931
López-Vinielles, Juan
Gao, Qi
Palamá, Riccardo
Gili Ripoll, José Antonio|||0000-0003-4718-2545
author_role author
author2 Qiu, Z
Monserrat Hernández, Oriol
Barra, Anna|||0000-0001-6254-7931
López-Vinielles, Juan
Gao, Qi
Palamá, Riccardo
Gili Ripoll, José Antonio|||0000-0003-4718-2545
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Remote sensing
Synthetic aperture radar
Interferometry
Sentinel-1
Interferometry
Deformation
DInSAR
Teledetecció
Interferometria
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
topic Remote sensing
Synthetic aperture radar
Interferometry
Sentinel-1
Interferometry
Deformation
DInSAR
Teledetecció
Interferometria
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
description Persistent scatterer interferometry (PSI) is a group of advanced interferometric synthetic aperture radar (SAR) techniques used to measure and monitor terrain deformation. Sentinel-1 has improved the data acquisition throughout and, compared to previous sensors, increased considerably the differential interferometric SAR (DInSAR) and PSI deformation monitoring potential. The low density of persistent scatterer (PS) in non-urban areas is a critical issue in DInSAR and has inspired the development of alternative approaches and refinement of the PS chains. This paper proposes two different and complementary data-driven procedures to obtain terrain deformation maps. These approaches aim to exploit Sentinel-1 highly coherent interferograms and their short revisit time. The first approach, called direct integration (DI), aims at providing a very fast and straightforward approach to screen-wide areas and easily detects active areas. This approach fully exploits the coherent interferograms from consecutive images provided by Sentinel-1, resulting in a very high sampling density. However, it lacks robustness and its usability lays on the operator experience. The second method, called persistent scatterer interferometry geomatics (PSIG) short temporal baseline, provides a constrained application of the PSIG chain, the CTTC approach to the PSI. It uses short temporal baseline interferograms and does not assume any deformation model for point selection. It is also quite a straightforward approach, which improves the performances of the standard PSIG approach, increasing the PS density and providing robust measurements. The effectiveness of the approaches is illustrated through analyses performed on different test sites.
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-03-16
2022
2022-04-12
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/365771
https://dx.doi.org/10.3390/rs13061120
url https://hdl.handle.net/2117/365771
https://dx.doi.org/10.3390/rs13061120
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300719

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