Relationship between soil cover type and surface temperature
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por eng |
Título da fonte: | Sociedade & natureza (Online) |
Texto Completo: | https://seer.ufu.br/index.php/sociedadenatureza/article/view/47462 |
Resumo: | Microclimates are very sensitive to surface cover type. Changes in vegetation cover modify energy distribution patterns, strongly impacting essential variables such as temperature and relative humidity. Regions with high vegetal cover density channel much of the energy through evapotranspiration, thus promoting a tremendous thermo-hydroregulating effect on the environment. The mapping of climatological variables through remote sensing and geoprocessing techniques can help in dimensioning this phenomenon and has become a popular technique due to the high availability of data from orbital satellite images and lower cost. This work uses images from the Landsat 8 satellite from the United States Geological Survey to map vegetation, urbanization and surface temperature in the urban area of Coari, Amazonas - Brazil in two distinct periods (2015 and 2017), seeking a quantitative evaluation of the influence of vegetation and urbanization on the values of this temperature. This study also attempts to estimate the importance of the atmospheric correction for this estimate and the difference in general climate conditions between the dates. The research shows that there is a considerable influence of vegetation on temperature control, despite higher reflective capacity (albedo) of urbanized areas. The urbanized regions showed temperatures up to 7°C higher than densely vegetated regions. Atmospheric correction in the temperature estimation is crucial, otherwise values can be severely underestimated. Temperatures in 2015 were substantially higher on soil regions, but lower in the water bodies, which is counterintuitive . Finally, this study may suggest a greater commitment of the public power in the promotion of policies aimed at the afforestation and vegetation of urban centers. |
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Relationship between soil cover type and surface temperatureRelação entre tipo de cobertura do solo e temperatura de superfícieSensoriamento remotoMapeamento de temperaturaUrbanizaçãoCoari - AMTemperature mappingRemote sensingUrbanizationCoari - AMMicroclimates are very sensitive to surface cover type. Changes in vegetation cover modify energy distribution patterns, strongly impacting essential variables such as temperature and relative humidity. Regions with high vegetal cover density channel much of the energy through evapotranspiration, thus promoting a tremendous thermo-hydroregulating effect on the environment. The mapping of climatological variables through remote sensing and geoprocessing techniques can help in dimensioning this phenomenon and has become a popular technique due to the high availability of data from orbital satellite images and lower cost. This work uses images from the Landsat 8 satellite from the United States Geological Survey to map vegetation, urbanization and surface temperature in the urban area of Coari, Amazonas - Brazil in two distinct periods (2015 and 2017), seeking a quantitative evaluation of the influence of vegetation and urbanization on the values of this temperature. This study also attempts to estimate the importance of the atmospheric correction for this estimate and the difference in general climate conditions between the dates. The research shows that there is a considerable influence of vegetation on temperature control, despite higher reflective capacity (albedo) of urbanized areas. The urbanized regions showed temperatures up to 7°C higher than densely vegetated regions. Atmospheric correction in the temperature estimation is crucial, otherwise values can be severely underestimated. Temperatures in 2015 were substantially higher on soil regions, but lower in the water bodies, which is counterintuitive . Finally, this study may suggest a greater commitment of the public power in the promotion of policies aimed at the afforestation and vegetation of urban centers.O microclima é bastante sensível ao tipo de cobertura da superfície. Alterações na cobertura vegetal modificam os padrões de distribuição da energia, impactando fortemente em variáveis importantes, como a temperatura e umidade relativa. Basicamente, regiões com alta densidade de cobertura vegetal canalizam boa parte da energia para o processo de evapotranspiração, promovendo assim um grande efeito termohidrorregulador no ambiente. O mapeamento de variáveis climatológicas através de técnicas de sensoriamento remoto e de geoprocessamento pode ajudar no dimensionamento deste fenômeno, e tem se tornado uma técnica popular devido à grande disponibilidade de dados por imagens de satélites orbitais e pelo custo reduzido. Neste trabalho, usamos imagens do satélite Landsat 8, do Serviço Geológico dos Estados Unidos, para o mapeamento da vegetação, da urbanização e da temperatura de superfície na zona urbana (e entorno) do município de Coari-AM em dois períodos distintos (2015 e 2017), buscando uma avaliação quantitativa da influência da vegetação e da urbanização nos valores desta temperatura. Procurou-se também estimar a importância da correção atmosférica para esta estimativa e a diferença de panorama geral entre as datas. Foi mostrado que há uma influência considerável da vegetação no controle da temperatura, mesmo as áreas urbanizadas mostrando maior capacidade refletiva (albedo). Regiões urbanizadas apresentaram temperaturas até 7 °C a mais que regiões densamente vegetadas. A necessidade de se utilizar a correção atmosférica na estimativa da temperatura é crucial, pois os valores podem ser muito subestimados sem sua aplicação. As temperaturas em 2015 foram substancialmente maiores nas regiões de solo, mas menores nos corpos de água, o que se mostra não intuitivo. Por fim, este estudo pode sugerir um maior empenho do poder público na promoção de políticas que visem a arborização e vegetação de centros urbanos.Universidade Federal de Uberlândia2020-08-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://seer.ufu.br/index.php/sociedadenatureza/article/view/4746210.14393/SN-v32-2020-47462Sociedade & Natureza; Vol. 32 (2020); 539-550Sociedade & Natureza; v. 32 (2020); 539-5501982-45130103-1570reponame:Sociedade & natureza (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUporenghttps://seer.ufu.br/index.php/sociedadenatureza/article/view/47462/29614https://seer.ufu.br/index.php/sociedadenatureza/article/view/47462/29615Copyright (c) 2020 Adriano Pereira Guilherme, Marcelo Sacardi Biudes, Deniz dos Santos Mota, Carlo Ralph de Musisinfo:eu-repo/semantics/openAccessGuilherme, Adriano PereiraBiudes, Marcelo SacardiMota, Deniz dos Santosde Musis, Carlo Ralph2021-07-01T16:18:20Zoai:ojs.www.seer.ufu.br:article/47462Revistahttp://www.sociedadenatureza.ig.ufu.br/PUBhttps://seer.ufu.br/index.php/sociedadenatureza/oai||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br1982-45130103-1570opendoar:2021-07-01T16:18:20Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Relationship between soil cover type and surface temperature Relação entre tipo de cobertura do solo e temperatura de superfície |
title |
Relationship between soil cover type and surface temperature |
spellingShingle |
Relationship between soil cover type and surface temperature Guilherme, Adriano Pereira Sensoriamento remoto Mapeamento de temperatura Urbanização Coari - AM Temperature mapping Remote sensing Urbanization Coari - AM |
title_short |
Relationship between soil cover type and surface temperature |
title_full |
Relationship between soil cover type and surface temperature |
title_fullStr |
Relationship between soil cover type and surface temperature |
title_full_unstemmed |
Relationship between soil cover type and surface temperature |
title_sort |
Relationship between soil cover type and surface temperature |
author |
Guilherme, Adriano Pereira |
author_facet |
Guilherme, Adriano Pereira Biudes, Marcelo Sacardi Mota, Deniz dos Santos de Musis, Carlo Ralph |
author_role |
author |
author2 |
Biudes, Marcelo Sacardi Mota, Deniz dos Santos de Musis, Carlo Ralph |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Guilherme, Adriano Pereira Biudes, Marcelo Sacardi Mota, Deniz dos Santos de Musis, Carlo Ralph |
dc.subject.por.fl_str_mv |
Sensoriamento remoto Mapeamento de temperatura Urbanização Coari - AM Temperature mapping Remote sensing Urbanization Coari - AM |
topic |
Sensoriamento remoto Mapeamento de temperatura Urbanização Coari - AM Temperature mapping Remote sensing Urbanization Coari - AM |
description |
Microclimates are very sensitive to surface cover type. Changes in vegetation cover modify energy distribution patterns, strongly impacting essential variables such as temperature and relative humidity. Regions with high vegetal cover density channel much of the energy through evapotranspiration, thus promoting a tremendous thermo-hydroregulating effect on the environment. The mapping of climatological variables through remote sensing and geoprocessing techniques can help in dimensioning this phenomenon and has become a popular technique due to the high availability of data from orbital satellite images and lower cost. This work uses images from the Landsat 8 satellite from the United States Geological Survey to map vegetation, urbanization and surface temperature in the urban area of Coari, Amazonas - Brazil in two distinct periods (2015 and 2017), seeking a quantitative evaluation of the influence of vegetation and urbanization on the values of this temperature. This study also attempts to estimate the importance of the atmospheric correction for this estimate and the difference in general climate conditions between the dates. The research shows that there is a considerable influence of vegetation on temperature control, despite higher reflective capacity (albedo) of urbanized areas. The urbanized regions showed temperatures up to 7°C higher than densely vegetated regions. Atmospheric correction in the temperature estimation is crucial, otherwise values can be severely underestimated. Temperatures in 2015 were substantially higher on soil regions, but lower in the water bodies, which is counterintuitive . Finally, this study may suggest a greater commitment of the public power in the promotion of policies aimed at the afforestation and vegetation of urban centers. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-08-10 |
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://seer.ufu.br/index.php/sociedadenatureza/article/view/47462 10.14393/SN-v32-2020-47462 |
url |
https://seer.ufu.br/index.php/sociedadenatureza/article/view/47462 |
identifier_str_mv |
10.14393/SN-v32-2020-47462 |
dc.language.iso.fl_str_mv |
por eng |
language |
por eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/sociedadenatureza/article/view/47462/29614 https://seer.ufu.br/index.php/sociedadenatureza/article/view/47462/29615 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
publisher.none.fl_str_mv |
Universidade Federal de Uberlândia |
dc.source.none.fl_str_mv |
Sociedade & Natureza; Vol. 32 (2020); 539-550 Sociedade & Natureza; v. 32 (2020); 539-550 1982-4513 0103-1570 reponame:Sociedade & natureza (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Sociedade & natureza (Online) |
collection |
Sociedade & natureza (Online) |
repository.name.fl_str_mv |
Sociedade & natureza (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
||sociedade.natureza.ufu@gmail.com|| lucianamelo@ufu.br |
_version_ |
1799943981211058176 |