Identification of Landslide Scars in the Region of the Serra do Mar, São Paulo State, Brazil, Using Digital Image Processing and Spatial Analysis Tools

dc.contributor.authorRiedel, Paulina Setti [UNESP]
dc.contributor.authorGomes, Alessandra Rodrigues [UNESP]
dc.contributor.authorFerreira, Mateus Vidotti [UNESP]
dc.contributor.authorSampaio Lopes, Eymar Silva
dc.contributor.authorSturaro, Jose Ricardo [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionInstituto Nacional de Pesquisas Espaciais (INPE)
dc.date.accessioned2013-09-30T18:51:11Z
dc.date.accessioned2014-05-20T14:16:58Z
dc.date.available2013-09-30T18:51:11Z
dc.date.available2014-05-20T14:16:58Z
dc.date.issued2010-10-01
dc.description.abstractThe objective of the present study, developed in a mountainous region in Brazil where many landslides occur, is to present a method for detecting landslide scars that couples image processing techniques with spatial analysis tools. An IKONOS image was initially segmented, and then classified through a Batthacharrya classifier, with an acceptance limit of 99%, resulting in 216 polygons identified with a spectral response similar to landslide scars. After making use of some spatial analysis tools that took into account a susceptibility map, a map of local drainage channels and highways, and the maximum expected size of scars in the study area, some features misinterpreted as scars were excluded. The 43 resulting features were then compared with visually interpreted landslide scars and field observations. The proposed method can be reproduced and enhanced by adding filtering criteria and was able to find new scars on the image, with a final error rate of 2.3%.en
dc.description.affiliationSão Paulo State Univ UNESP, Dept Appl Geol, BR-13506900 Bela Vista Rio Claro, SP, Brazil
dc.description.affiliationSão Paulo State Univ UNESP, Postgrad Program Geosci & Environm Studies, BR-13506900 Bela Vista Rio Claro, SP, Brazil
dc.description.affiliationNatl Inst Spatial Res INPE, Image Proc Div, BR-12227010 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUnespSão Paulo State Univ UNESP, Dept Appl Geol, BR-13506900 Bela Vista Rio Claro, SP, Brazil
dc.description.affiliationUnespSão Paulo State Univ UNESP, Postgrad Program Geosci & Environm Studies, BR-13506900 Bela Vista Rio Claro, SP, Brazil
dc.description.sponsorshipPetrobras
dc.format.extent498-513
dc.identifierhttp://dx.doi.org/10.2747/1548-1603.47.4.498
dc.identifier.citationGiscience & Remote Sensing. Columbia: Bellwether Publ Ltd, v. 47, n. 4, p. 498-513, 2010.
dc.identifier.doi10.2747/1548-1603.47.4.498
dc.identifier.issn1548-1603
dc.identifier.lattes6863337555915767
dc.identifier.lattes0131652346152784
dc.identifier.urihttp://hdl.handle.net/11449/25086
dc.identifier.wosWOS:000285536500004
dc.language.isoeng
dc.publisherBellwether Publ Ltd
dc.relation.ispartofGiscience & Remote Sensing
dc.relation.ispartofjcr2.852
dc.relation.ispartofsjr0,990
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.titleIdentification of Landslide Scars in the Region of the Serra do Mar, São Paulo State, Brazil, Using Digital Image Processing and Spatial Analysis Toolsen
dc.typeArtigo
dcterms.licensehttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
dcterms.rightsHolderBellwether Publ Ltd
unesp.author.lattes6863337555915767
unesp.author.lattes0131652346152784
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Geociências e Ciências Exatas, Rio Claropt

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