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Mapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysis

dc.contributor.authorParadella, Waldir R.
dc.contributor.authorFerretti, Alessandro
dc.contributor.authorMura, Jose C.
dc.contributor.authorColombo, Davide
dc.contributor.authorGama, Fabio F.
dc.contributor.authorTamburini, Andrea
dc.contributor.authorSantos, Athos R.
dc.contributor.authorNovali, Fabrizio
dc.contributor.authorGalo, Mauricio [UNESP]
dc.contributor.authorCamargo, Paulo O. [UNESP]
dc.contributor.authorSilva, Arnaldo Q.
dc.contributor.authorSilva, Guilherme G.
dc.contributor.authorSilva, Aristotelina
dc.contributor.authorGomes, Leonardo L.
dc.contributor.institutionInstituto Nacional de Pesquisas Espaciais (INPE)
dc.contributor.institutionTele Rilevamento Europa TRE Srl
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal do Pará (UFPA)
dc.contributor.institutionVale SA
dc.date.accessioned2015-10-21T20:49:45Z
dc.date.available2015-10-21T20:49:45Z
dc.date.issued2015-07-02
dc.description.abstractThe 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.en
dc.description.affiliationNational Institute for Space Research (INPE), São José dos Campos CEP 12227-010, Brazil
dc.description.affiliationTele-Rilevamento Europa-T.R.E. Srl, 20143 Milano, Italy
dc.description.affiliationFederal University of Pará (IG/UFPA), Belém CEP 66075-110, Brazil
dc.description.affiliationVale S. A. (DIFN/GEDEN/GAGHN), Serra dos Carajás CEP 68516-000, Brazil.
dc.description.affiliationUnespSão Paulo State University (FCT/UNESP), Presidente Prudente CEP 19060-900, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdFAPESP: 2010/51267-9
dc.description.sponsorshipIdCNPq: 304254/2009-6
dc.format.extent61-78
dc.identifierhttp://www.sciencedirect.com/science/article/pii/S0013795215001313
dc.identifier.citationEngineering Geology. Amsterdam: Elsevier Science Bv, v. 193, p. 61-78, 2015.
dc.identifier.doi10.1016/j.enggeo.2015.04.015
dc.identifier.fileWOS000357350000005.pdf
dc.identifier.issn0013-7952
dc.identifier.lattes1647318644299561
dc.identifier.orcid0000-0002-0104-9960
dc.identifier.urihttp://hdl.handle.net/11449/129317
dc.identifier.wosWOS:000357350000005
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofEngineering Geology
dc.relation.ispartofjcr3.100
dc.relation.ispartofsjr2,069
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectDInSARen
dc.subjectTerraSAR-Xen
dc.subjectMining areasen
dc.subjectGeodetic monitoringen
dc.subjectOpen pit deformationen
dc.subjectAmazon regionen
dc.titleMapping surface deformation in open pit iron mines of Carajas Province (Amazon Region) using an integrated SAR analysisen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
dspace.entity.typePublication
unesp.author.lattes1647318644299561
unesp.author.orcid0000-0002-0104-9960[9]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências e Tecnologia, Presidente Prudentept
unesp.departmentEstatística - FCTpt

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