Indicadores de floresta urbana a partir de imagens aéreas multiespectrais de alta resolução

dc.contributor.authorDa Silva Filho, Demóstenes Ferreira
dc.contributor.authorPivetta, Kathia Fernandas Lopes [UNESP]
dc.contributor.authorDo Couto, Hilton Thadeu Zarate
dc.contributor.authorPolizel, Jefferson Lordello
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:21:18Z
dc.date.available2014-05-27T11:21:18Z
dc.date.issued2005-04-01
dc.description.abstractThe present work evaluated urban forest indicators, acquired through airborne high-resolution multiespectral images, on the quality of the urban design and its vegetative fraction, in special its trees, in nine neighborhoods of Piracicaba, SP. There were made supervised classifications for characterization of intra-urban elements and the proportions obtained, as exposed soil, tree cover, lawns, asphalt, concrete pavements and roofs. They were studied for the measurement of the urban forest in each place. These variables were related to each other, as well as with the independent variables: population density, people with more than fifteen years of study and family heads with income above twenty minimum wages, obtained through population census. Through the analysis of linear regression variables were identified for intra-urban areas evaluation. Correlations were made and linear regressions among the data obtained from the image and among the proposed indicators. Negative correlations were obtained among population density and arboreal covering and the evaluated indices, in accordance with the predicted in the literature. Composite indicators are proposed, as: the proportion between arboreous space on waterproof space (PAW) and the proportion between arboreous space on building space (PAB). It is concluded by the possibility of the use of those indicators for evaluation of the urban forest and definition of priorities in the execution of ordinances to the improvement of the urban forestry, being prioritized the application of resources in the most lacking neighborhoods.en
dc.description.affiliationDepartamento de Ciências Florestais ESALQ USP, Caixa Postal 9, Piracicaba, SP - 13400-970
dc.description.affiliationDepartamento de Produção Vegetal FCAV UNESP, Rod. Carlos Tonanni, Km 05 - s/n, Jaboticabal, SP - 14870-000
dc.description.affiliationUnespDepartamento de Produção Vegetal FCAV UNESP, Rod. Carlos Tonanni, Km 05 - s/n, Jaboticabal, SP - 14870-000
dc.format.extent88-100
dc.identifierhttp://www.ipef.br/publicacoes/scientia/nr67/cap09.pdf
dc.identifier.citationScientia Forestalis/Forest Sciences, n. 67, p. 88-100, 2005.
dc.identifier.file2-s2.0-24144442648.pdf
dc.identifier.issn1413-9324
dc.identifier.scopus2-s2.0-24144442648
dc.identifier.urihttp://hdl.handle.net/11449/68193
dc.language.isopor
dc.relation.ispartofScientia Forestalis/Forest Sciences
dc.relation.ispartofjcr0.500
dc.relation.ispartofsjr0,495
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectHigh-resolution multispectral videography images
dc.subjectUrban forest indices
dc.subjectUrban trees
dc.subjectPopulation density
dc.subjectImage analysis
dc.subjectRegression analysis
dc.subjectSoils
dc.subjectUrban planning
dc.subjectWaterproofing
dc.subjectForestry
dc.subjectCities
dc.subjectImage Analysis
dc.subjectRegression Analysis
dc.subjectSoil
dc.subjectWater Proofing
dc.titleIndicadores de floresta urbana a partir de imagens aéreas multiespectrais de alta resoluçãopt
dc.title.alternativeUrban forest indicators through high-resolution multispectral imagesen
dc.typeArtigo
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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