Sensoriamento remoto na análise do alinhamento das lagoas do pantanal da nhecolândia, MS

dc.alternative2-s2.0-84988600665.pdf
dc.contributor.authorOliveira, Ana Paula Garcia
dc.contributor.authorMioto, Camila Leonardo
dc.contributor.authorRibeiro, Alisson André
dc.contributor.authorJaquez, Robson
dc.contributor.authorAlbrez, Edilce do Amaral
dc.contributor.authorSígolo, Joel Barbujiani
dc.contributor.authorAssine, Mario Luis [UNESP]
dc.contributor.authorParanhos Filho, Antonio Conceição
dc.contributor.institutionUniversidade Federal de Mato Grosso do Sul (UFMS)
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T17:29:40Z
dc.date.available2018-12-11T17:29:40Z
dc.date.issued2016-01-01
dc.description.abstractAmong the several kinds of pantanais, the Nhecolândia sub-region deserves prominent role for presenting peculiar landscape. Its main feature is the presence of numerous lakes, which are divided into “baías” and “salinas” (fresh and brackish, respectively). The study aimed to quantify and analyze the orientation and aligning intensity of the major axes of these water ponds, in order to contribute for understanding the formation and functioning of this intriguing and yet unknown region. Firstly, we adopted the object-oriented classification method on Landsat 5 satellite image, TM sensor. Then, we used a specific algorithm for identifying the alignment of the ponds. As results, we recognized 17,631 lakes, 17,050 being baías and 577 salinas. These ponds are aligned in two directions - NE and NW -, which would be associated to the directions of the winds prevailing during the origin of the Nhecolândia lakes.en
dc.description.affiliationUniversidade Federal de Mato Grosso do Sul - UFMS Laboratório de Geoprocessamento para Aplicações Ambientais, Unidade 7A, Cidade Universitária
dc.description.affiliationUniversidade de São Paulo - USP, Rua do Lago, 562
dc.description.affiliationUniversidade Estadual Paulista - UNESP Departamento de Geologia Aplicada, Avenida 24ª, 1515
dc.description.affiliationUnespUniversidade Estadual Paulista - UNESP Departamento de Geologia Aplicada, Avenida 24ª, 1515
dc.format.extent63-70
dc.identifierhttp://dx.doi.org/10.11137/2016_3_63_70
dc.identifier.citationAnuario do Instituto de Geociencias, v. 39, n. 3, p. 63-70, 2016.
dc.identifier.doi10.11137/2016_3_63_70
dc.identifier.issn1982-3908
dc.identifier.issn0101-9759
dc.identifier.lattes0471102133658128
dc.identifier.scopus2-s2.0-84988600665
dc.identifier.urihttp://hdl.handle.net/11449/178297
dc.language.isopor
dc.relation.ispartofAnuario do Instituto de Geociencias
dc.relation.ispartofsjr0,216
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectBaías
dc.subjectLandsat 5
dc.subjectObject-oriented classification
dc.subjectSalinas
dc.titleSensoriamento remoto na análise do alinhamento das lagoas do pantanal da nhecolândia, MSpt
dc.title.alternativeRemote sensing in the analysis of the ponds alignment in the nhecolandia pantanal, MSen
dc.typeArtigo
unesp.campusUniversidade Estadual Paulista (Unesp), Instituto de Geociências e Ciências Exatas, Rio Claropt
unesp.departmentGeologia Aplicada - IGCEpt

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