Mapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysis
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://www.sciencedirect.com/science/article/pii/S0013795215001313 http://hdl.handle.net/11449/129317 |
Resumo: | The Carajas mineral province encompasses the world's largest iron reserves with excavation carried out through open pit benching. Mining operations in the area have significant areas of rock mass movements and surface displacements that potentially lead to slope instabilities with risks to personnel, equipment and production. Instabilities can be expected due to deep excavations in rock masses of low geomechanical quality, blasting practices and heavy precipitation. In this paper, ground instabilities are monitored through an integrated SAR analysis based on a data-stack of 33 TerraSAR-X images. This approach was designed to monitor distinct displacement regimes, ranging from small to high deformation rates, and to map surface changes, based on variations of radar reflectivity. Results were compared with field information (total station/prisms, ground based radar, geological and geomechanical maps), and the approach showed to be effective for monitoring ground deformation in the region. Due to its capabilities (synoptic view, high accuracy, dense grid sampling), the complementary use of space-based SAR with field monitoring systems proved to be strategic for operational mining planning and risk assessment in this challenging environment. (C) 2015 The Authors. Published by Elsevier B.V. |
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Mapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysisDInSARTerraSAR-XMining areasGeodetic monitoringOpen pit deformationAmazon regionThe Carajas mineral province encompasses the world's largest iron reserves with excavation carried out through open pit benching. Mining operations in the area have significant areas of rock mass movements and surface displacements that potentially lead to slope instabilities with risks to personnel, equipment and production. Instabilities can be expected due to deep excavations in rock masses of low geomechanical quality, blasting practices and heavy precipitation. In this paper, ground instabilities are monitored through an integrated SAR analysis based on a data-stack of 33 TerraSAR-X images. This approach was designed to monitor distinct displacement regimes, ranging from small to high deformation rates, and to map surface changes, based on variations of radar reflectivity. Results were compared with field information (total station/prisms, ground based radar, geological and geomechanical maps), and the approach showed to be effective for monitoring ground deformation in the region. Due to its capabilities (synoptic view, high accuracy, dense grid sampling), the complementary use of space-based SAR with field monitoring systems proved to be strategic for operational mining planning and risk assessment in this challenging environment. (C) 2015 The Authors. Published by Elsevier B.V.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)National Institute for Space Research (INPE), São José dos Campos CEP 12227-010, BrazilTele-Rilevamento Europa-T.R.E. Srl, 20143 Milano, ItalyFederal University of Pará (IG/UFPA), Belém CEP 66075-110, BrazilVale S. A. (DIFN/GEDEN/GAGHN), Serra dos Carajás CEP 68516-000, Brazil.São Paulo State University (FCT/UNESP), Presidente Prudente CEP 19060-900, BrazilFAPESP: 2010/51267-9CNPq: 304254/2009-6Elsevier B.V.Instituto Nacional de Pesquisas Espaciais (INPE)Tele Rilevamento Europa TRE SrlUniversidade Estadual Paulista (Unesp)Universidade Federal do Pará (UFPA)Vale SAParadella, Waldir R.Ferretti, AlessandroMura, Jose C.Colombo, DavideGama, Fabio F.Tamburini, AndreaSantos, Athos R.Novali, FabrizioGalo, Mauricio [UNESP]Camargo, Paulo O. [UNESP]Silva, Arnaldo Q.Silva, Guilherme G.Silva, AristotelinaGomes, Leonardo L.2015-10-21T20:49:45Z2015-10-21T20:49:45Z2015-07-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article61-78application/pdfhttp://www.sciencedirect.com/science/article/pii/S0013795215001313Engineering Geology. Amsterdam: Elsevier Science Bv, v. 193, p. 61-78, 2015.0013-7952http://hdl.handle.net/11449/12931710.1016/j.enggeo.2015.04.015WOS:000357350000005WOS000357350000005.pdf16473186442995610000-0002-0104-9960Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEngineering Geology3.1002,069info:eu-repo/semantics/openAccess2024-06-18T18:17:48Zoai:repositorio.unesp.br:11449/129317Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T13:41:33.086094Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Mapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysis |
title |
Mapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysis |
spellingShingle |
Mapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysis Paradella, Waldir R. DInSAR TerraSAR-X Mining areas Geodetic monitoring Open pit deformation Amazon region |
title_short |
Mapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysis |
title_full |
Mapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysis |
title_fullStr |
Mapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysis |
title_full_unstemmed |
Mapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysis |
title_sort |
Mapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysis |
author |
Paradella, Waldir R. |
author_facet |
Paradella, Waldir R. Ferretti, Alessandro Mura, Jose C. Colombo, Davide Gama, Fabio F. Tamburini, Andrea Santos, Athos R. Novali, Fabrizio Galo, Mauricio [UNESP] Camargo, Paulo O. [UNESP] Silva, Arnaldo Q. Silva, Guilherme G. Silva, Aristotelina Gomes, Leonardo L. |
author_role |
author |
author2 |
Ferretti, Alessandro Mura, Jose C. Colombo, Davide Gama, Fabio F. Tamburini, Andrea Santos, Athos R. Novali, Fabrizio Galo, Mauricio [UNESP] Camargo, Paulo O. [UNESP] Silva, Arnaldo Q. Silva, Guilherme G. Silva, Aristotelina Gomes, Leonardo L. |
author2_role |
author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Instituto Nacional de Pesquisas Espaciais (INPE) Tele Rilevamento Europa TRE Srl Universidade Estadual Paulista (Unesp) Universidade Federal do Pará (UFPA) Vale SA |
dc.contributor.author.fl_str_mv |
Paradella, Waldir R. Ferretti, Alessandro Mura, Jose C. Colombo, Davide Gama, Fabio F. Tamburini, Andrea Santos, Athos R. Novali, Fabrizio Galo, Mauricio [UNESP] Camargo, Paulo O. [UNESP] Silva, Arnaldo Q. Silva, Guilherme G. Silva, Aristotelina Gomes, Leonardo L. |
dc.subject.por.fl_str_mv |
DInSAR TerraSAR-X Mining areas Geodetic monitoring Open pit deformation Amazon region |
topic |
DInSAR TerraSAR-X Mining areas Geodetic monitoring Open pit deformation Amazon region |
description |
The Carajas mineral province encompasses the world's largest iron reserves with excavation carried out through open pit benching. Mining operations in the area have significant areas of rock mass movements and surface displacements that potentially lead to slope instabilities with risks to personnel, equipment and production. Instabilities can be expected due to deep excavations in rock masses of low geomechanical quality, blasting practices and heavy precipitation. In this paper, ground instabilities are monitored through an integrated SAR analysis based on a data-stack of 33 TerraSAR-X images. This approach was designed to monitor distinct displacement regimes, ranging from small to high deformation rates, and to map surface changes, based on variations of radar reflectivity. Results were compared with field information (total station/prisms, ground based radar, geological and geomechanical maps), and the approach showed to be effective for monitoring ground deformation in the region. Due to its capabilities (synoptic view, high accuracy, dense grid sampling), the complementary use of space-based SAR with field monitoring systems proved to be strategic for operational mining planning and risk assessment in this challenging environment. (C) 2015 The Authors. Published by Elsevier B.V. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-10-21T20:49:45Z 2015-10-21T20:49:45Z 2015-07-02 |
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://www.sciencedirect.com/science/article/pii/S0013795215001313 Engineering Geology. Amsterdam: Elsevier Science Bv, v. 193, p. 61-78, 2015. 0013-7952 http://hdl.handle.net/11449/129317 10.1016/j.enggeo.2015.04.015 WOS:000357350000005 WOS000357350000005.pdf 1647318644299561 0000-0002-0104-9960 |
url |
http://www.sciencedirect.com/science/article/pii/S0013795215001313 http://hdl.handle.net/11449/129317 |
identifier_str_mv |
Engineering Geology. Amsterdam: Elsevier Science Bv, v. 193, p. 61-78, 2015. 0013-7952 10.1016/j.enggeo.2015.04.015 WOS:000357350000005 WOS000357350000005.pdf 1647318644299561 0000-0002-0104-9960 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Engineering Geology 3.100 2,069 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
61-78 application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier B.V. |
publisher.none.fl_str_mv |
Elsevier B.V. |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1808128266742005760 |