Indicadores de floresta urbana a partir de imagens aéreas multiespectrais de alta resolução
Autor(a) principal: | |
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Data de Publicação: | 2005 |
Outros Autores: | , , |
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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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) |
repository.mail.fl_str_mv |
|
_version_ |
1799964706910240768 |