Monitoring of non-linear ground movement in an open pit iron mine based on an integration of advanced DInSAR techniques using TerraSAR-X data
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3390/rs8050409 http://hdl.handle.net/11449/173018 |
Resumo: | This work presents an investigation to determine ground deformation based on an integration of DInSAR Time-Series (DTS) and Persistent Scatterer Interferometry (PSI) techniques aiming at detecting high rates of linear and non-linear ground movement. The combined techniques were applied in an open pit iron mine located in Carajás Mineral Province (Brazilian Amazon region), using a set of 33 TerraSAR-X-1 images acquired from March 2012 to April 2013 when, due to a different deformation behavior during the dry and wet seasons in the Amazon region, a non-linear deformation was detected. The DTS analysis was performed on a stack of multi-look unwrapped interferograms using an extension of the SVD (Singular Value Decomposition), where a set of additional weighted constraints on the acceleration of the displacement was incorporated to control the smoothness of the time-series solutions, whose objective was to correct the atmospheric phase artifacts. The height errors and the deformation history provided by the DTS technique were used as previous information to perform the PSI analysis. This procedure improved the capability of the PSI technique to detect non-linear movement as well as to increase the numbers of point density of the final results. The results of the combined techniques are presented and compared with total station/prisms and ground-based radar (GBR) measurements. |
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Repositório Institucional da UNESP |
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Monitoring of non-linear ground movement in an open pit iron mine based on an integration of advanced DInSAR techniques using TerraSAR-X dataDInSAR time-seriesOpen pit iron minePSISurface movementThis work presents an investigation to determine ground deformation based on an integration of DInSAR Time-Series (DTS) and Persistent Scatterer Interferometry (PSI) techniques aiming at detecting high rates of linear and non-linear ground movement. The combined techniques were applied in an open pit iron mine located in Carajás Mineral Province (Brazilian Amazon region), using a set of 33 TerraSAR-X-1 images acquired from March 2012 to April 2013 when, due to a different deformation behavior during the dry and wet seasons in the Amazon region, a non-linear deformation was detected. The DTS analysis was performed on a stack of multi-look unwrapped interferograms using an extension of the SVD (Singular Value Decomposition), where a set of additional weighted constraints on the acceleration of the displacement was incorporated to control the smoothness of the time-series solutions, whose objective was to correct the atmospheric phase artifacts. The height errors and the deformation history provided by the DTS technique were used as previous information to perform the PSI analysis. This procedure improved the capability of the PSI technique to detect non-linear movement as well as to increase the numbers of point density of the final results. The results of the combined techniques are presented and compared with total station/prisms and ground-based radar (GBR) measurements.National Institute for Space Research (INPE)São Paulo State University (FCT/UNESP)Federal University of Pará (IG/UFPA)Vale S. A. (DIFN/GEDEN/GAGHN)São Paulo State University (FCT/UNESP)National Institute for Space Research (INPE)Universidade Estadual Paulista (Unesp)Universidade Federal do Pará (UFPA)Vale S. A. (DIFN/GEDEN/GAGHN)Mura, José ClaudioParadella, Waldir R.Gama, Fabio F.Silva, Guilherme G.Galo, Mauricio [UNESP]Camargo, Paulo O. [UNESP]Silva, Arnaldo Q.Silva, Aristotelina2018-12-11T17:03:09Z2018-12-11T17:03:09Z2016-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.3390/rs8050409Remote Sensing, v. 8, n. 5, 2016.2072-4292http://hdl.handle.net/11449/17301810.3390/rs80504092-s2.0-849714539612-s2.0-84971453961.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensing1,386info:eu-repo/semantics/openAccess2023-11-12T06:12:03Zoai:repositorio.unesp.br:11449/173018Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-11-12T06:12:03Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Monitoring of non-linear ground movement in an open pit iron mine based on an integration of advanced DInSAR techniques using TerraSAR-X data |
title |
Monitoring of non-linear ground movement in an open pit iron mine based on an integration of advanced DInSAR techniques using TerraSAR-X data |
spellingShingle |
Monitoring of non-linear ground movement in an open pit iron mine based on an integration of advanced DInSAR techniques using TerraSAR-X data Mura, José Claudio DInSAR time-series Open pit iron mine PSI Surface movement |
title_short |
Monitoring of non-linear ground movement in an open pit iron mine based on an integration of advanced DInSAR techniques using TerraSAR-X data |
title_full |
Monitoring of non-linear ground movement in an open pit iron mine based on an integration of advanced DInSAR techniques using TerraSAR-X data |
title_fullStr |
Monitoring of non-linear ground movement in an open pit iron mine based on an integration of advanced DInSAR techniques using TerraSAR-X data |
title_full_unstemmed |
Monitoring of non-linear ground movement in an open pit iron mine based on an integration of advanced DInSAR techniques using TerraSAR-X data |
title_sort |
Monitoring of non-linear ground movement in an open pit iron mine based on an integration of advanced DInSAR techniques using TerraSAR-X data |
author |
Mura, José Claudio |
author_facet |
Mura, José Claudio Paradella, Waldir R. Gama, Fabio F. Silva, Guilherme G. Galo, Mauricio [UNESP] Camargo, Paulo O. [UNESP] Silva, Arnaldo Q. Silva, Aristotelina |
author_role |
author |
author2 |
Paradella, Waldir R. Gama, Fabio F. Silva, Guilherme G. Galo, Mauricio [UNESP] Camargo, Paulo O. [UNESP] Silva, Arnaldo Q. Silva, Aristotelina |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
National Institute for Space Research (INPE) Universidade Estadual Paulista (Unesp) Universidade Federal do Pará (UFPA) Vale S. A. (DIFN/GEDEN/GAGHN) |
dc.contributor.author.fl_str_mv |
Mura, José Claudio Paradella, Waldir R. Gama, Fabio F. Silva, Guilherme G. Galo, Mauricio [UNESP] Camargo, Paulo O. [UNESP] Silva, Arnaldo Q. Silva, Aristotelina |
dc.subject.por.fl_str_mv |
DInSAR time-series Open pit iron mine PSI Surface movement |
topic |
DInSAR time-series Open pit iron mine PSI Surface movement |
description |
This work presents an investigation to determine ground deformation based on an integration of DInSAR Time-Series (DTS) and Persistent Scatterer Interferometry (PSI) techniques aiming at detecting high rates of linear and non-linear ground movement. The combined techniques were applied in an open pit iron mine located in Carajás Mineral Province (Brazilian Amazon region), using a set of 33 TerraSAR-X-1 images acquired from March 2012 to April 2013 when, due to a different deformation behavior during the dry and wet seasons in the Amazon region, a non-linear deformation was detected. The DTS analysis was performed on a stack of multi-look unwrapped interferograms using an extension of the SVD (Singular Value Decomposition), where a set of additional weighted constraints on the acceleration of the displacement was incorporated to control the smoothness of the time-series solutions, whose objective was to correct the atmospheric phase artifacts. The height errors and the deformation history provided by the DTS technique were used as previous information to perform the PSI analysis. This procedure improved the capability of the PSI technique to detect non-linear movement as well as to increase the numbers of point density of the final results. The results of the combined techniques are presented and compared with total station/prisms and ground-based radar (GBR) measurements. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-01-01 2018-12-11T17:03:09Z 2018-12-11T17:03:09Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3390/rs8050409 Remote Sensing, v. 8, n. 5, 2016. 2072-4292 http://hdl.handle.net/11449/173018 10.3390/rs8050409 2-s2.0-84971453961 2-s2.0-84971453961.pdf |
url |
http://dx.doi.org/10.3390/rs8050409 http://hdl.handle.net/11449/173018 |
identifier_str_mv |
Remote Sensing, v. 8, n. 5, 2016. 2072-4292 10.3390/rs8050409 2-s2.0-84971453961 2-s2.0-84971453961.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Remote Sensing 1,386 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799964908791529472 |