Employment of Free Packages for MT-InSAR Approaches to Verify the Subsidence Event over Maceió City, Brazil

Detalhes bibliográficos
Autor(a) principal: Alves, Sérgio da Conceição
Data de Publicação: 2023
Outros Autores: Krueger, Cláudia Pereira, Dalazoana, Regiane, Polidori, Laurent
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anuário do Instituto de Geociências (Online)
Texto Completo: https://revistas.ufrj.br/index.php/aigeo/article/view/56709
Resumo: Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR) technique employs a Multi-Temporal InSAR (MT-InSAR) approach to accurately measure subsidence. This technique, a type of Differential Interferometry (DInSAR), mitigates errors that traditional DInSAR techniques cannot, including temporal and geometric decorrelation, and phase unwrapping errors. In order to verify the subsidence process in the Pinheiro neighborhood of Maceio - Brazil following a 2018 earthquake, we tested free processing packages such as SNAP-StaMPS integration. Our investigation was conducted in two stages: first, using a stack of Sentinel-1A SLCSAR (Single Look Complex-SAR) images acquired before and after the earthquake, and second, using more recent images to determine if the subsidence process is ongoing. Results from the first stage identified the area affected by subsidence and the second stage confirmed the continued presence of subsidence events. From 2017 to 2018, the subsidence process exhibited the highest displacement amplitude of -32.3 mm/year, whereas, between 2021 and 2022, the amplitude decreased to -24.09 mm/year, indicating a deceleration in the subsidence process.
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spelling Employment of Free Packages for MT-InSAR Approaches to Verify the Subsidence Event over Maceió City, BrazilPSInSARInterferometrySNAP-StaMPSPersistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR) technique employs a Multi-Temporal InSAR (MT-InSAR) approach to accurately measure subsidence. This technique, a type of Differential Interferometry (DInSAR), mitigates errors that traditional DInSAR techniques cannot, including temporal and geometric decorrelation, and phase unwrapping errors. In order to verify the subsidence process in the Pinheiro neighborhood of Maceio - Brazil following a 2018 earthquake, we tested free processing packages such as SNAP-StaMPS integration. Our investigation was conducted in two stages: first, using a stack of Sentinel-1A SLCSAR (Single Look Complex-SAR) images acquired before and after the earthquake, and second, using more recent images to determine if the subsidence process is ongoing. Results from the first stage identified the area affected by subsidence and the second stage confirmed the continued presence of subsidence events. From 2017 to 2018, the subsidence process exhibited the highest displacement amplitude of -32.3 mm/year, whereas, between 2021 and 2022, the amplitude decreased to -24.09 mm/year, indicating a deceleration in the subsidence process.Universidade Federal do Rio de Janeiro2023-08-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documenthttps://revistas.ufrj.br/index.php/aigeo/article/view/5670910.11137/1982-3908_2023_46_56709Anuário do Instituto de Geociências; v. 46 (2023)Anuário do Instituto de Geociências; Vol. 46 (2023)1982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJenghttps://revistas.ufrj.br/index.php/aigeo/article/view/56709/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/56709/39187Copyright (c) 2023 Anuário do Instituto de Geociênciasinfo:eu-repo/semantics/openAccessAlves, Sérgio da ConceiçãoKrueger, Cláudia PereiraDalazoana, RegianePolidori, Laurent2023-08-16T20:53:18Zoai:ojs.pkp.sfu.ca:article/56709Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2023-08-16T20:53:18Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Employment of Free Packages for MT-InSAR Approaches to Verify the Subsidence Event over Maceió City, Brazil
title Employment of Free Packages for MT-InSAR Approaches to Verify the Subsidence Event over Maceió City, Brazil
spellingShingle Employment of Free Packages for MT-InSAR Approaches to Verify the Subsidence Event over Maceió City, Brazil
Alves, Sérgio da Conceição
PSInSAR
Interferometry
SNAP-StaMPS
title_short Employment of Free Packages for MT-InSAR Approaches to Verify the Subsidence Event over Maceió City, Brazil
title_full Employment of Free Packages for MT-InSAR Approaches to Verify the Subsidence Event over Maceió City, Brazil
title_fullStr Employment of Free Packages for MT-InSAR Approaches to Verify the Subsidence Event over Maceió City, Brazil
title_full_unstemmed Employment of Free Packages for MT-InSAR Approaches to Verify the Subsidence Event over Maceió City, Brazil
title_sort Employment of Free Packages for MT-InSAR Approaches to Verify the Subsidence Event over Maceió City, Brazil
author Alves, Sérgio da Conceição
author_facet Alves, Sérgio da Conceição
Krueger, Cláudia Pereira
Dalazoana, Regiane
Polidori, Laurent
author_role author
author2 Krueger, Cláudia Pereira
Dalazoana, Regiane
Polidori, Laurent
author2_role author
author
author
dc.contributor.author.fl_str_mv Alves, Sérgio da Conceição
Krueger, Cláudia Pereira
Dalazoana, Regiane
Polidori, Laurent
dc.subject.por.fl_str_mv PSInSAR
Interferometry
SNAP-StaMPS
topic PSInSAR
Interferometry
SNAP-StaMPS
description Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR) technique employs a Multi-Temporal InSAR (MT-InSAR) approach to accurately measure subsidence. This technique, a type of Differential Interferometry (DInSAR), mitigates errors that traditional DInSAR techniques cannot, including temporal and geometric decorrelation, and phase unwrapping errors. In order to verify the subsidence process in the Pinheiro neighborhood of Maceio - Brazil following a 2018 earthquake, we tested free processing packages such as SNAP-StaMPS integration. Our investigation was conducted in two stages: first, using a stack of Sentinel-1A SLCSAR (Single Look Complex-SAR) images acquired before and after the earthquake, and second, using more recent images to determine if the subsidence process is ongoing. Results from the first stage identified the area affected by subsidence and the second stage confirmed the continued presence of subsidence events. From 2017 to 2018, the subsidence process exhibited the highest displacement amplitude of -32.3 mm/year, whereas, between 2021 and 2022, the amplitude decreased to -24.09 mm/year, indicating a deceleration in the subsidence process.
publishDate 2023
dc.date.none.fl_str_mv 2023-08-16
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/56709
10.11137/1982-3908_2023_46_56709
url https://revistas.ufrj.br/index.php/aigeo/article/view/56709
identifier_str_mv 10.11137/1982-3908_2023_46_56709
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufrj.br/index.php/aigeo/article/view/56709/pdf
https://revistas.ufrj.br/index.php/aigeo/article/view/56709/39187
dc.rights.driver.fl_str_mv Copyright (c) 2023 Anuário do Instituto de Geociências
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Anuário do Instituto de Geociências
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/vnd.openxmlformats-officedocument.wordprocessingml.document
dc.publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
publisher.none.fl_str_mv Universidade Federal do Rio de Janeiro
dc.source.none.fl_str_mv Anuário do Instituto de Geociências; v. 46 (2023)
Anuário do Instituto de Geociências; Vol. 46 (2023)
1982-3908
0101-9759
reponame:Anuário do Instituto de Geociências (Online)
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
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institution UFRJ
reponame_str Anuário do Instituto de Geociências (Online)
collection Anuário do Instituto de Geociências (Online)
repository.name.fl_str_mv Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)
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