Heat islands in cities in the interior of the state of são paulo, brazil
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.26848/rbgf.v12.6.p2041-2050 http://hdl.handle.net/11449/245852 |
Resumo: | The quality of urban environments has proven inappropriate for a significant portion of the population due to a failure to consider, in their territorial expansion process, the physical characteristics of these environments. In order to mitigate issues related to the quality of these environments, particularly regarding characteristics of temperature and generation of surface heat islands, the scientific community has developed analysis methods to assist in the environmental planning of cities, using remote sensing as a key ally. In the analysis of surface heat islands, remote sensing assists in the representation of the temperature of urban targets in relation to the near surroundings and the assessment of the vegetation, which is a key element to mitigate surface heat islands. In this sense, this paper aims to analyze the vegetation cover using the Normalized Difference Vegetation Index (NDVI) and its interference on surface temperature in the cities of Assis, Cândido Mota, Maracaí and Tarumã (São Paulo, Brazil). To do that, we used images from the Landsat 8 satellite, band 10, to calculate the temperature of the targets, and bands 4 and 5, to calculate the NDVI. It can be concluded through the NDVI analysis that the exuberant and/or active vegetation (high NDVI) plays a key role in reducing temperatures in the targets. On the other hand, a low NDVI, due to the high building density in urban areas or the dry season, particularly in nearby rural areas, favors surface heating. |
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Heat islands in cities in the interior of the state of são paulo, brazilGeotecnologias Aplicadas à Análise de Ilhas de Calor de Superfície em Cidades do Interior do Estado de São PauloNDVIRemote sensingSurface temperatureUrban climateThe quality of urban environments has proven inappropriate for a significant portion of the population due to a failure to consider, in their territorial expansion process, the physical characteristics of these environments. In order to mitigate issues related to the quality of these environments, particularly regarding characteristics of temperature and generation of surface heat islands, the scientific community has developed analysis methods to assist in the environmental planning of cities, using remote sensing as a key ally. In the analysis of surface heat islands, remote sensing assists in the representation of the temperature of urban targets in relation to the near surroundings and the assessment of the vegetation, which is a key element to mitigate surface heat islands. In this sense, this paper aims to analyze the vegetation cover using the Normalized Difference Vegetation Index (NDVI) and its interference on surface temperature in the cities of Assis, Cândido Mota, Maracaí and Tarumã (São Paulo, Brazil). To do that, we used images from the Landsat 8 satellite, band 10, to calculate the temperature of the targets, and bands 4 and 5, to calculate the NDVI. It can be concluded through the NDVI analysis that the exuberant and/or active vegetation (high NDVI) plays a key role in reducing temperatures in the targets. On the other hand, a low NDVI, due to the high building density in urban areas or the dry season, particularly in nearby rural areas, favors surface heating.Universidade Federal do Mato Grosso do Sul, campus de Três Lagoas, Av. Ranulpho Marques Leal, 3484 - Distrito Industrial, MSFaculdade de Ciências e Tecnologia Universidade Estadual Paulista “Júlio de Mesquita Filho, Rua Roberto Simonsen, 305, MSFaculdade de Ciências e Tecnologia Universidade Estadual Paulista “Júlio de Mesquita Filho, Rua Roberto Simonsen, 305, MSUniversidade Federal do Mato Grosso do SulUniversidade Estadual Paulista (UNESP)Porangaba, Gislene Figueiredo OrtizDe Costa Trindade Amorim, Margarete Cristiane [UNESP]2023-07-29T12:24:58Z2023-07-29T12:24:58Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article2041-2050http://dx.doi.org/10.26848/rbgf.v12.6.p2041-2050Revista Brasileira de Geografia Fisica, v. 12, n. 6, p. 2041-2050, 2019.1984-2295http://hdl.handle.net/11449/24585210.26848/rbgf.v12.6.p2041-20502-s2.0-85104600503Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Brasileira de Geografia Fisicainfo:eu-repo/semantics/openAccess2023-07-29T12:24:58Zoai:repositorio.unesp.br:11449/245852Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-07-29T12:24:58Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Heat islands in cities in the interior of the state of são paulo, brazil Geotecnologias Aplicadas à Análise de Ilhas de Calor de Superfície em Cidades do Interior do Estado de São Paulo |
title |
Heat islands in cities in the interior of the state of são paulo, brazil |
spellingShingle |
Heat islands in cities in the interior of the state of são paulo, brazil Porangaba, Gislene Figueiredo Ortiz NDVI Remote sensing Surface temperature Urban climate |
title_short |
Heat islands in cities in the interior of the state of são paulo, brazil |
title_full |
Heat islands in cities in the interior of the state of são paulo, brazil |
title_fullStr |
Heat islands in cities in the interior of the state of são paulo, brazil |
title_full_unstemmed |
Heat islands in cities in the interior of the state of são paulo, brazil |
title_sort |
Heat islands in cities in the interior of the state of são paulo, brazil |
author |
Porangaba, Gislene Figueiredo Ortiz |
author_facet |
Porangaba, Gislene Figueiredo Ortiz De Costa Trindade Amorim, Margarete Cristiane [UNESP] |
author_role |
author |
author2 |
De Costa Trindade Amorim, Margarete Cristiane [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Federal do Mato Grosso do Sul Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Porangaba, Gislene Figueiredo Ortiz De Costa Trindade Amorim, Margarete Cristiane [UNESP] |
dc.subject.por.fl_str_mv |
NDVI Remote sensing Surface temperature Urban climate |
topic |
NDVI Remote sensing Surface temperature Urban climate |
description |
The quality of urban environments has proven inappropriate for a significant portion of the population due to a failure to consider, in their territorial expansion process, the physical characteristics of these environments. In order to mitigate issues related to the quality of these environments, particularly regarding characteristics of temperature and generation of surface heat islands, the scientific community has developed analysis methods to assist in the environmental planning of cities, using remote sensing as a key ally. In the analysis of surface heat islands, remote sensing assists in the representation of the temperature of urban targets in relation to the near surroundings and the assessment of the vegetation, which is a key element to mitigate surface heat islands. In this sense, this paper aims to analyze the vegetation cover using the Normalized Difference Vegetation Index (NDVI) and its interference on surface temperature in the cities of Assis, Cândido Mota, Maracaí and Tarumã (São Paulo, Brazil). To do that, we used images from the Landsat 8 satellite, band 10, to calculate the temperature of the targets, and bands 4 and 5, to calculate the NDVI. It can be concluded through the NDVI analysis that the exuberant and/or active vegetation (high NDVI) plays a key role in reducing temperatures in the targets. On the other hand, a low NDVI, due to the high building density in urban areas or the dry season, particularly in nearby rural areas, favors surface heating. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-01-01 2023-07-29T12:24:58Z 2023-07-29T12:24:58Z |
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://dx.doi.org/10.26848/rbgf.v12.6.p2041-2050 Revista Brasileira de Geografia Fisica, v. 12, n. 6, p. 2041-2050, 2019. 1984-2295 http://hdl.handle.net/11449/245852 10.26848/rbgf.v12.6.p2041-2050 2-s2.0-85104600503 |
url |
http://dx.doi.org/10.26848/rbgf.v12.6.p2041-2050 http://hdl.handle.net/11449/245852 |
identifier_str_mv |
Revista Brasileira de Geografia Fisica, v. 12, n. 6, p. 2041-2050, 2019. 1984-2295 10.26848/rbgf.v12.6.p2041-2050 2-s2.0-85104600503 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
Revista Brasileira de Geografia Fisica |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
2041-2050 |
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 |
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1799964515774758912 |