Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1178418
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dc.contributor.authorDIAS, B. A. S.
dc.contributor.authorSILVA, J. P. da
dc.contributor.authorSANTOS, N. de S.
dc.contributor.authorCOLIN, C. G. de F.
dc.contributor.authorFIGUEIREDO, V. A. de
dc.contributor.authorCHAVES, J. V. B.
dc.contributor.authorBARBOSA, L. A. F.
dc.contributor.authorSPERANZA, E. A.
dc.contributor.authorSILVA, J. dos S. V. da
dc.date.accessioned2025-09-01T12:48:28Z-
dc.date.available2025-09-01T12:48:28Z-
dc.date.created2025-09-01
dc.date.issued2025
dc.identifier.citationRA’EGA: o Espaço Geográfico em Análise, v. 63, n. 2, p. 277-296, 2025.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1178418-
dc.descriptionThe urbanization process does not occur in a synchronized way, which could result in differences of urban areas depending on various socioeconomic factors. The implications of such differences can result in long-term consequences for the local urban context. This study proposes a descriptive model to characterize the Cuiabá–Várzea Grande (Mato Grosso State) conurbation, considering its building structure, vegetation cover, land surface temperature, population, and topography. To accomplish this, spectral indices derived from remote sensing data, related to built-up areas, vegetation, and land surface temperature were employed, along with terrain elevation and population information from census data. The model, based on cluster analysis, allowed the identification of three units which explain the urban distribution of the conurbation: two strongly associated with the building structure (more or less densely built up) and a third one with mainly vegetation cover, generally located at the edges of the study area. These characteristics are reflected in land surface temperature, which is lower in the unit with a higher presence of green cover and higher in the area with dense constructions and scarce vegetation. The unit encompassing the central regions has open areas that could be used for more efficient uses, such as commercial, residential, or social activities. The proposed model demonstrates the potential to improve the management of the urban development in the area under study.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectÁreas verdes
dc.subjectPlanejamento urbano
dc.subjectMineração de dados
dc.subjectConurbação
dc.subjectGreen areas
dc.subjectData mining
dc.titleGeospatial analysis of the relationship between urban structure, vegetation, population and surface temperature in the Cuiabá-Várzea Grande-MT conurbation.
dc.typeArtigo de periódico
dc.subject.thesagroSensoriamento Remoto
dc.subject.nalthesaurusRemote sensing
dc.subject.nalthesaurusUrban planning
dc.description.notesPublicado também em português.eng
riaa.ainfo.id1178418
riaa.ainfo.lastupdate2025-09-01
dc.identifier.doihttps://doi.org/10.5380/raega.v63i2.99583
dc.contributor.institutionBRUNA APARECIDA SILVA DIAS; JOÃO PAULO DA SILVA; NATÁLIA DE SOUZA SANTOS; CAROLINA GARCIA DE FIGUEIREDO COLIN; VERA APARECIDA DE FIGUEIREDO; JEAN VICTOR BARROZO CHAVES; LUIZ ANTONIO FALAGUASTA BARBOSA, CNPTIA; EDUARDO ANTONIO SPERANZA, CNPTIA; JOAO DOS SANTOS VILA DA SILVA, CNPTIA.
Aparece nas coleções:Artigo em periódico indexado (CNPTIA)

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