DETERMINATION OF THE VEGETATION COVERAGE OF OLINDA, PERNAMBUCO - BRAZIL: A SUBSIDE TO THE URBAN FOREST MANAGEMENT
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Caminhos de Geografia |
Texto Completo: | https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60170 |
Resumo: | Urban expansion without proper planning has promoted a series of harmful effects for the population of cities, both environmentally and socially. However, vegetation is increasingly associated with quality of life, due to the proven benefits it promotes in the urban environment. The objective of this research was to classify the vegetation coverage of Olinda - Pernambuco, in order to quantify its urban forest. An image from SENTINEL-2 satellite with 10 m spatial resolution was used to classify the municipality's land use. Through software QGIS 2.14.11, the classes of urban infrastructure, water, exposed soil, vegetation and cloud were identified by means of MaxVer classification, which was divided by administrative political regions for the mapping. The city's vegetal cover indexes were determined and quantified. The amount of vegetation in the regions was variable, but they were unsatisfactory for promoting environmental benefits to the population, with the exception of the Rural Zone, where there is greater quantity of vegetation. It was observed that Olinda is a city with a deficit of vegetation cover. It was possible to notice that the municipality lacks vegetated areas, as well as afforestation. |
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DETERMINATION OF THE VEGETATION COVERAGE OF OLINDA, PERNAMBUCO - BRAZIL: A SUBSIDE TO THE URBAN FOREST MANAGEMENTDETERMINAÇÃO DA COBERTURA VEGETAL DE OLINDA, PERNAMBUCO - BRASIL: UM SUBSÍDIO À GESTÃO FLORESTAL URBANAFloresta urbanaSistema de Informações Geográficas Índice espacial de vegetaçãoGeographic Information SystemSpatial vegetation indexUrbanforestUrban expansion without proper planning has promoted a series of harmful effects for the population of cities, both environmentally and socially. However, vegetation is increasingly associated with quality of life, due to the proven benefits it promotes in the urban environment. The objective of this research was to classify the vegetation coverage of Olinda - Pernambuco, in order to quantify its urban forest. An image from SENTINEL-2 satellite with 10 m spatial resolution was used to classify the municipality's land use. Through software QGIS 2.14.11, the classes of urban infrastructure, water, exposed soil, vegetation and cloud were identified by means of MaxVer classification, which was divided by administrative political regions for the mapping. The city's vegetal cover indexes were determined and quantified. The amount of vegetation in the regions was variable, but they were unsatisfactory for promoting environmental benefits to the population, with the exception of the Rural Zone, where there is greater quantity of vegetation. It was observed that Olinda is a city with a deficit of vegetation cover. It was possible to notice that the municipality lacks vegetated areas, as well as afforestation.A expansão urbana sem planejamento adequado promoveu uma série de efeitos nocivos para a população das cidades, tanto ambiental quanto socialmente. Contudo, cada vez mais a vegetação vem sendo associada à qualidade de vida, devido aos comprovados benefícios que ela promove no ambiente urbano. Esta pesquisa objetivou classificar a cobertura vegetal de Olinda - Pernambuco, visando a quantificar sua floresta urbana. Para isso, utilizou-se uma imagem do satélite SENTINEL-2 com resolução espacial de 10 metros, para a classificação do uso do solo do município. Por meio do software QGIS 2.14.11, identificaram-se as classes de infraestrutura urbana, água, solo exposto, vegetação e nuvem, por meio da classificação supervisionada MaxVer, posteriormente divididas por regiões político administrativas para o mapeamento, sendo assim determinados e quantificados os índices de cobertura vegetal da cidade. A quantidade de vegetação nas regiões se mostrou variável, mas foram insatisfatórias para promover benefícios ambientais à população, com exceção da Zona Rural, local onde há maior quantitativo de vegetação da cidade. Observou-se que Olinda é uma cidade com déficit de cobertura vegetal, sendo possível perceber que o município carece de áreas vegetadas, bem como arborização.EDUFU - Editora da Universidade Federal de Uberlândia2022-10-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos paresapplication/pdfhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/6017010.14393/RCG238960170Caminhos de Geografia; Vol. 23 No. 89 (2022): Outubro; 77-91Caminhos de Geografia; Vol. 23 Núm. 89 (2022): Outubro; 77-91Caminhos de Geografia; v. 23 n. 89 (2022): Outubro; 77-911678-6343reponame:Caminhos de Geografiainstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/60170/34759Copyright (c) 2022 Iran Jorge Corrêa Lopes, Everaldo Lima Neto, Mayara Maria de Lima Pessoa, Allan Rodrigo Nunho dos Reis, Eduardo Campanhã Ribas, Anderson Francisco da Silva, Cinthia Pereira de Oliveira, Nattan Ádler Tavares dos Santoshttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessLopes, Iran Jorge Corrêa Lima Neto, EveraldoPessoa, Mayara Maria de LimaReis, Allan Rodrigo Nunho dosRibas, Eduardo CampanhãSilva, Anderson Francisco daPereira de Oliveira, CinthiaSantos, Nattan Ádler Tavares dos2022-10-11T13:56:10Zoai:ojs.www.seer.ufu.br:article/60170Revistahttps://seer.ufu.br/index.php/caminhosdegeografia/indexPUBhttp://www.seer.ufu.br/index.php/caminhosdegeografia/oaiflaviasantosgeo@gmail.com1678-63431678-6343opendoar:2022-10-11T13:56:10Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
DETERMINATION OF THE VEGETATION COVERAGE OF OLINDA, PERNAMBUCO - BRAZIL: A SUBSIDE TO THE URBAN FOREST MANAGEMENT DETERMINAÇÃO DA COBERTURA VEGETAL DE OLINDA, PERNAMBUCO - BRASIL: UM SUBSÍDIO À GESTÃO FLORESTAL URBANA |
title |
DETERMINATION OF THE VEGETATION COVERAGE OF OLINDA, PERNAMBUCO - BRAZIL: A SUBSIDE TO THE URBAN FOREST MANAGEMENT |
spellingShingle |
DETERMINATION OF THE VEGETATION COVERAGE OF OLINDA, PERNAMBUCO - BRAZIL: A SUBSIDE TO THE URBAN FOREST MANAGEMENT Lopes, Iran Jorge Corrêa Floresta urbana Sistema de Informações Geográficas Índice espacial de vegetação Geographic Information System Spatial vegetation index Urbanforest |
title_short |
DETERMINATION OF THE VEGETATION COVERAGE OF OLINDA, PERNAMBUCO - BRAZIL: A SUBSIDE TO THE URBAN FOREST MANAGEMENT |
title_full |
DETERMINATION OF THE VEGETATION COVERAGE OF OLINDA, PERNAMBUCO - BRAZIL: A SUBSIDE TO THE URBAN FOREST MANAGEMENT |
title_fullStr |
DETERMINATION OF THE VEGETATION COVERAGE OF OLINDA, PERNAMBUCO - BRAZIL: A SUBSIDE TO THE URBAN FOREST MANAGEMENT |
title_full_unstemmed |
DETERMINATION OF THE VEGETATION COVERAGE OF OLINDA, PERNAMBUCO - BRAZIL: A SUBSIDE TO THE URBAN FOREST MANAGEMENT |
title_sort |
DETERMINATION OF THE VEGETATION COVERAGE OF OLINDA, PERNAMBUCO - BRAZIL: A SUBSIDE TO THE URBAN FOREST MANAGEMENT |
author |
Lopes, Iran Jorge Corrêa |
author_facet |
Lopes, Iran Jorge Corrêa Lima Neto, Everaldo Pessoa, Mayara Maria de Lima Reis, Allan Rodrigo Nunho dos Ribas, Eduardo Campanhã Silva, Anderson Francisco da Pereira de Oliveira, Cinthia Santos, Nattan Ádler Tavares dos |
author_role |
author |
author2 |
Lima Neto, Everaldo Pessoa, Mayara Maria de Lima Reis, Allan Rodrigo Nunho dos Ribas, Eduardo Campanhã Silva, Anderson Francisco da Pereira de Oliveira, Cinthia Santos, Nattan Ádler Tavares dos |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Lopes, Iran Jorge Corrêa Lima Neto, Everaldo Pessoa, Mayara Maria de Lima Reis, Allan Rodrigo Nunho dos Ribas, Eduardo Campanhã Silva, Anderson Francisco da Pereira de Oliveira, Cinthia Santos, Nattan Ádler Tavares dos |
dc.subject.por.fl_str_mv |
Floresta urbana Sistema de Informações Geográficas Índice espacial de vegetação Geographic Information System Spatial vegetation index Urbanforest |
topic |
Floresta urbana Sistema de Informações Geográficas Índice espacial de vegetação Geographic Information System Spatial vegetation index Urbanforest |
description |
Urban expansion without proper planning has promoted a series of harmful effects for the population of cities, both environmentally and socially. However, vegetation is increasingly associated with quality of life, due to the proven benefits it promotes in the urban environment. The objective of this research was to classify the vegetation coverage of Olinda - Pernambuco, in order to quantify its urban forest. An image from SENTINEL-2 satellite with 10 m spatial resolution was used to classify the municipality's land use. Through software QGIS 2.14.11, the classes of urban infrastructure, water, exposed soil, vegetation and cloud were identified by means of MaxVer classification, which was divided by administrative political regions for the mapping. The city's vegetal cover indexes were determined and quantified. The amount of vegetation in the regions was variable, but they were unsatisfactory for promoting environmental benefits to the population, with the exception of the Rural Zone, where there is greater quantity of vegetation. It was observed that Olinda is a city with a deficit of vegetation cover. It was possible to notice that the municipality lacks vegetated areas, as well as afforestation. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-10-10 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Avaliado pelos pares |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60170 10.14393/RCG238960170 |
url |
https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60170 |
identifier_str_mv |
10.14393/RCG238960170 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/caminhosdegeografia/article/view/60170/34759 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
EDUFU - Editora da Universidade Federal de Uberlândia |
publisher.none.fl_str_mv |
EDUFU - Editora da Universidade Federal de Uberlândia |
dc.source.none.fl_str_mv |
Caminhos de Geografia; Vol. 23 No. 89 (2022): Outubro; 77-91 Caminhos de Geografia; Vol. 23 Núm. 89 (2022): Outubro; 77-91 Caminhos de Geografia; v. 23 n. 89 (2022): Outubro; 77-91 1678-6343 reponame:Caminhos de Geografia instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Caminhos de Geografia |
collection |
Caminhos de Geografia |
repository.name.fl_str_mv |
Caminhos de Geografia - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
flaviasantosgeo@gmail.com |
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1797067018802823168 |