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

Detalhes bibliográficos
Autor(a) principal: Da Silva Filho, Demóstenes Ferreira
Data de Publicação: 2005
Outros Autores: Pivetta, Kathia Fernandas Lopes [UNESP], Do Couto, Hilton Thadeu Zarate, Polizel, Jefferson Lordello
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://www.ipef.br/publicacoes/scientia/nr67/cap09.pdf
http://hdl.handle.net/11449/68193
Resumo: The 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.
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spelling Indicadores de floresta urbana a partir de imagens aéreas multiespectrais de alta resoluçãoUrban forest indicators through high-resolution multispectral imagesHigh-resolution multispectral videography imagesUrban forest indicesUrban treesPopulation densityImage analysisRegression analysisSoilsUrban planningWaterproofingForestryCitiesImage AnalysisRegression AnalysisSoilWater ProofingThe 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.Departamento de Ciências Florestais ESALQ USP, Caixa Postal 9, Piracicaba, SP - 13400-970Departamento de Produção Vegetal FCAV UNESP, Rod. Carlos Tonanni, Km 05 - s/n, Jaboticabal, SP - 14870-000Departamento de Produção Vegetal FCAV UNESP, Rod. Carlos Tonanni, Km 05 - s/n, Jaboticabal, SP - 14870-000Universidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Da Silva Filho, Demóstenes FerreiraPivetta, Kathia Fernandas Lopes [UNESP]Do Couto, Hilton Thadeu ZaratePolizel, Jefferson Lordello2014-05-27T11:21:18Z2014-05-27T11:21:18Z2005-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article88-100application/pdfhttp://www.ipef.br/publicacoes/scientia/nr67/cap09.pdfScientia Forestalis/Forest Sciences, n. 67, p. 88-100, 2005.1413-9324http://hdl.handle.net/11449/681932-s2.0-241444426482-s2.0-24144442648.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporScientia Forestalis/Forest Sciences0.5000,495info:eu-repo/semantics/openAccess2023-10-26T06:08:41Zoai:repositorio.unesp.br:11449/68193Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-10-26T06:08:41Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Indicadores de floresta urbana a partir de imagens aéreas multiespectrais de alta resolução
Urban forest indicators through high-resolution multispectral images
title Indicadores de floresta urbana a partir de imagens aéreas multiespectrais de alta resolução
spellingShingle Indicadores de floresta urbana a partir de imagens aéreas multiespectrais de alta resolução
Da Silva Filho, Demóstenes Ferreira
High-resolution multispectral videography images
Urban forest indices
Urban trees
Population density
Image analysis
Regression analysis
Soils
Urban planning
Waterproofing
Forestry
Cities
Image Analysis
Regression Analysis
Soil
Water Proofing
title_short Indicadores de floresta urbana a partir de imagens aéreas multiespectrais de alta resolução
title_full Indicadores de floresta urbana a partir de imagens aéreas multiespectrais de alta resolução
title_fullStr Indicadores de floresta urbana a partir de imagens aéreas multiespectrais de alta resolução
title_full_unstemmed Indicadores de floresta urbana a partir de imagens aéreas multiespectrais de alta resolução
title_sort Indicadores de floresta urbana a partir de imagens aéreas multiespectrais de alta resolução
author Da Silva Filho, Demóstenes Ferreira
author_facet Da Silva Filho, Demóstenes Ferreira
Pivetta, Kathia Fernandas Lopes [UNESP]
Do Couto, Hilton Thadeu Zarate
Polizel, Jefferson Lordello
author_role author
author2 Pivetta, Kathia Fernandas Lopes [UNESP]
Do Couto, Hilton Thadeu Zarate
Polizel, Jefferson Lordello
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Da Silva Filho, Demóstenes Ferreira
Pivetta, Kathia Fernandas Lopes [UNESP]
Do Couto, Hilton Thadeu Zarate
Polizel, Jefferson Lordello
dc.subject.por.fl_str_mv High-resolution multispectral videography images
Urban forest indices
Urban trees
Population density
Image analysis
Regression analysis
Soils
Urban planning
Waterproofing
Forestry
Cities
Image Analysis
Regression Analysis
Soil
Water Proofing
topic High-resolution multispectral videography images
Urban forest indices
Urban trees
Population density
Image analysis
Regression analysis
Soils
Urban planning
Waterproofing
Forestry
Cities
Image Analysis
Regression Analysis
Soil
Water Proofing
description The 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.
publishDate 2005
dc.date.none.fl_str_mv 2005-04-01
2014-05-27T11:21:18Z
2014-05-27T11:21:18Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.ipef.br/publicacoes/scientia/nr67/cap09.pdf
Scientia Forestalis/Forest Sciences, n. 67, p. 88-100, 2005.
1413-9324
http://hdl.handle.net/11449/68193
2-s2.0-24144442648
2-s2.0-24144442648.pdf
url http://www.ipef.br/publicacoes/scientia/nr67/cap09.pdf
http://hdl.handle.net/11449/68193
identifier_str_mv Scientia Forestalis/Forest Sciences, n. 67, p. 88-100, 2005.
1413-9324
2-s2.0-24144442648
2-s2.0-24144442648.pdf
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Scientia Forestalis/Forest Sciences
0.500
0,495
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 88-100
application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
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