spatial and temporal variability of surface temperature, land use and land cover change: a case study in Campinas, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | |
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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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 |
status_str |
publishedVersion |
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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1754839542574088192 |