spatial and temporal variability of surface temperature, land use and land cover change: a case study in Campinas, Brazil

Detalhes bibliográficos
Autor(a) principal: Marchezan Bezerra, Luiza
Data de Publicação: 2021
Outros Autores: Heuminski de Avila, Ana Maria
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Climatologia (Online)
Texto Completo: https://revistas.ufpr.br/revistaabclima/article/view/73611
Resumo: Deteriorating climatic conditions in urban centers of Brazil is a real concern for human security and urban livelihood sustainability.  The city of Campinas in São Paulo state/Brazil is highly vulnerable to climatic disasters. The present paper analyses the relationship between land use changes and temperature in Campinas between 1989 and 2016. The 28-year period was chosen due to the variability of climatic data in three meteorological stations (University of Campinas, Agronomic Institute of Campinas and International Airport of Viracopos). Data from five sources were used for land use land changes (LULC), and land surface temperature (LST) analysis. The data sources were: i) Landsat 5 Thermometer Mapper (TM), ii) Landsat 5 Thermal Infrared Sensor (TIRS), iii) Thermal Infrared Sensor (ETM +) sensors from Landsat 5, iv) Landsat 8 Operational Land Imager (OLI), and v) Thermal Infrared Sensor (TIRS). The results indicate consistent relations between urbanized increase area and the elevation of air and surface temperature in Campinas. In the studied period, there was an increase of 23% in urbanized areas in Campinas and around the meteorological stations. Cepagri presented the highest growth, about 22%, as well as the station with the highest air temperature. 
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spelling spatial and temporal variability of surface temperature, land use and land cover change: a case study in Campinas, BrazilSPATIAL AND TEMPORAL VARIABILITY OF SURFACE TEMPERATURE, LAND USE AND LAND COVER CHANGE: A CASE STUDY IN CAMPINAS, BRAZILUrban Climate, Remote Sensing, Land Use, Surface TemperatureUrban Climate, Remote Sensing, Land Use, Surface TemperatureDeteriorating climatic conditions in urban centers of Brazil is a real concern for human security and urban livelihood sustainability.  The city of Campinas in São Paulo state/Brazil is highly vulnerable to climatic disasters. The present paper analyses the relationship between land use changes and temperature in Campinas between 1989 and 2016. The 28-year period was chosen due to the variability of climatic data in three meteorological stations (University of Campinas, Agronomic Institute of Campinas and International Airport of Viracopos). Data from five sources were used for land use land changes (LULC), and land surface temperature (LST) analysis. The data sources were: i) Landsat 5 Thermometer Mapper (TM), ii) Landsat 5 Thermal Infrared Sensor (TIRS), iii) Thermal Infrared Sensor (ETM +) sensors from Landsat 5, iv) Landsat 8 Operational Land Imager (OLI), and v) Thermal Infrared Sensor (TIRS). The results indicate consistent relations between urbanized increase area and the elevation of air and surface temperature in Campinas. In the studied period, there was an increase of 23% in urbanized areas in Campinas and around the meteorological stations. Cepagri presented the highest growth, about 22%, as well as the station with the highest air temperature. deteriorating climatic conditions in urban centers of Brazil is a real concern for human security and urban livelihood sustainability.  The city of Campinas in São Paulo state/Brazil is highly vulnerable to climatic disasters. The present paper analyses the relationship between land use changes and temperature in Campinas between 1989 and 2016. The 28-year period was chosen due to the variability of climatic data in three meteorological stations (University of Campinas, Agronomic Institute of Campinas and International Airport of Viracopos). Data from five sources were used for land use land changes (LULC), and land surface temperature (LST) analysis. The data sources were: i) Landsat 5 Thermometer Mapper (TM), ii) Landsat 5 Thermal Infrared Sensor (TIRS), iii) Thermal Infrared Sensor (ETM +) sensors from Landsat 5, iv) Landsat 8 Operational Land Imager (OLI), and v) Thermal Infrared Sensor (TIRS). The results indicate consistent relations between urbanized increase area and the elevation of air and surface temperature in Campinas. In the studied period, there was an increase of 23% in urbanized areas in Campinas and around the meteorological stations. Cepagri presented the highest growth, about 22%, as well as the station with the highest air temperatureUniversidade Federal do ParanáMarchezan Bezerra, LuizaHeuminski de Avila, Ana Maria2021-04-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/revistaabclima/article/view/7361110.5380/rbclima.v28i0.73611Revista Brasileira de Climatologia; v. 28 (2021)2237-86421980-055X10.5380/rbclima.v28i0reponame:Revista Brasileira de Climatologia (Online)instname:ABClimainstacron:ABCLIMAenghttps://revistas.ufpr.br/revistaabclima/article/view/73611/43583CampinasCampinasDireitos autorais 2021 Luiza Marchezan Bezerra, Ana Maria Heuminski de Avilainfo:eu-repo/semantics/openAccess2021-06-30T12:16:36Zoai:revistas.ufpr.br:article/73611Revistahttps://revistas.ufpr.br/revistaabclima/indexPUBhttps://revistas.ufpr.br/revistaabclima/oaiegalvani@usp.br || rbclima2014@gmail.com2237-86421980-055Xopendoar:2021-06-30T12:16:36Revista Brasileira de Climatologia (Online) - ABClimafalse
dc.title.none.fl_str_mv spatial and temporal variability of surface temperature, land use and land cover change: a case study in Campinas, Brazil
SPATIAL AND TEMPORAL VARIABILITY OF SURFACE TEMPERATURE, LAND USE AND LAND COVER CHANGE: A CASE STUDY IN CAMPINAS, BRAZIL
title spatial and temporal variability of surface temperature, land use and land cover change: a case study in Campinas, Brazil
spellingShingle spatial and temporal variability of surface temperature, land use and land cover change: a case study in Campinas, Brazil
Marchezan Bezerra, Luiza
Urban Climate, Remote Sensing, Land Use, Surface Temperature
Urban Climate, Remote Sensing, Land Use, Surface Temperature
title_short spatial and temporal variability of surface temperature, land use and land cover change: a case study in Campinas, Brazil
title_full spatial and temporal variability of surface temperature, land use and land cover change: a case study in Campinas, Brazil
title_fullStr spatial and temporal variability of surface temperature, land use and land cover change: a case study in Campinas, Brazil
title_full_unstemmed spatial and temporal variability of surface temperature, land use and land cover change: a case study in Campinas, Brazil
title_sort spatial and temporal variability of surface temperature, land use and land cover change: a case study in Campinas, Brazil
author Marchezan Bezerra, Luiza
author_facet Marchezan Bezerra, Luiza
Heuminski de Avila, Ana Maria
author_role author
author2 Heuminski de Avila, Ana Maria
author2_role author
dc.contributor.none.fl_str_mv

dc.contributor.author.fl_str_mv Marchezan Bezerra, Luiza
Heuminski de Avila, Ana Maria
dc.subject.por.fl_str_mv Urban Climate, Remote Sensing, Land Use, Surface Temperature
Urban Climate, Remote Sensing, Land Use, Surface Temperature
topic Urban Climate, Remote Sensing, Land Use, Surface Temperature
Urban Climate, Remote Sensing, Land Use, Surface Temperature
description Deteriorating climatic conditions in urban centers of Brazil is a real concern for human security and urban livelihood sustainability.  The city of Campinas in São Paulo state/Brazil is highly vulnerable to climatic disasters. The present paper analyses the relationship between land use changes and temperature in Campinas between 1989 and 2016. The 28-year period was chosen due to the variability of climatic data in three meteorological stations (University of Campinas, Agronomic Institute of Campinas and International Airport of Viracopos). Data from five sources were used for land use land changes (LULC), and land surface temperature (LST) analysis. The data sources were: i) Landsat 5 Thermometer Mapper (TM), ii) Landsat 5 Thermal Infrared Sensor (TIRS), iii) Thermal Infrared Sensor (ETM +) sensors from Landsat 5, iv) Landsat 8 Operational Land Imager (OLI), and v) Thermal Infrared Sensor (TIRS). The results indicate consistent relations between urbanized increase area and the elevation of air and surface temperature in Campinas. In the studied period, there was an increase of 23% in urbanized areas in Campinas and around the meteorological stations. Cepagri presented the highest growth, about 22%, as well as the station with the highest air temperature. 
publishDate 2021
dc.date.none.fl_str_mv 2021-04-28
dc.type.none.fl_str_mv
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv https://revistas.ufpr.br/revistaabclima/article/view/73611
10.5380/rbclima.v28i0.73611
url https://revistas.ufpr.br/revistaabclima/article/view/73611
identifier_str_mv 10.5380/rbclima.v28i0.73611
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufpr.br/revistaabclima/article/view/73611/43583
dc.rights.driver.fl_str_mv Direitos autorais 2021 Luiza Marchezan Bezerra, Ana Maria Heuminski de Avila
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Direitos autorais 2021 Luiza Marchezan Bezerra, Ana Maria Heuminski de Avila
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.coverage.none.fl_str_mv Campinas


Campinas


dc.publisher.none.fl_str_mv Universidade Federal do Paraná
publisher.none.fl_str_mv Universidade Federal do Paraná
dc.source.none.fl_str_mv Revista Brasileira de Climatologia; v. 28 (2021)
2237-8642
1980-055X
10.5380/rbclima.v28i0
reponame:Revista Brasileira de Climatologia (Online)
instname:ABClima
instacron:ABCLIMA
instname_str ABClima
instacron_str ABCLIMA
institution ABCLIMA
reponame_str Revista Brasileira de Climatologia (Online)
collection Revista Brasileira de Climatologia (Online)
repository.name.fl_str_mv Revista Brasileira de Climatologia (Online) - ABClima
repository.mail.fl_str_mv egalvani@usp.br || rbclima2014@gmail.com
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