Employment of Free Packages for MT-InSAR Approaches to Verify the Subsidence Event over Maceió City, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
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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Anuário do Instituto de Geociências (Online) |
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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 |
status_str |
publishedVersion |
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) |
instacron_str |
UFRJ |
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) |
repository.mail.fl_str_mv |
anuario@igeo.ufrj.br|| |
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1797053535771164672 |