Mapping land surface temperature using AVHRR/NOAA sensor
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/7559 |
Resumo: | The objective of this work was to evaluate the suitable use of AVHRR/NOAA (Advanced Very High Resolution Radiometer/National Oceanic and Atmospheric Administration) on land surface temperature (LST) mapping in Rio Grande do Sul State by means of the comparison of three classic algorithms. The methods of Becker & Li, Sobrino et al. and Kerr et al. were compared for the minimum LST estimation, using nocturnal and predawn images. Both emissivity and LST data were obtained by means of mathematical combinations of the visible, near-infrared and thermal detected radiation of the AVHRR/NOAA sensor. The AVHRR sensor is suitable for LST mapping for the overall conditions of soil coverage in Rio Grande do Sul, once the estimated LST, by the three tested methods, was close to the measured air temperature at the selected locations. Sobrino et al. was the most adequate method. |
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Mapping land surface temperature using AVHRR/NOAA sensorMapeamento da temperatura da superfície terrestre com uso do sensor AVHRR/NOAAremote sensing; split-window; air temperature; infrared; thermalsensoriamento remoto; janela dividida; temperatura do ar; infravermelho; termalThe objective of this work was to evaluate the suitable use of AVHRR/NOAA (Advanced Very High Resolution Radiometer/National Oceanic and Atmospheric Administration) on land surface temperature (LST) mapping in Rio Grande do Sul State by means of the comparison of three classic algorithms. The methods of Becker & Li, Sobrino et al. and Kerr et al. were compared for the minimum LST estimation, using nocturnal and predawn images. Both emissivity and LST data were obtained by means of mathematical combinations of the visible, near-infrared and thermal detected radiation of the AVHRR/NOAA sensor. The AVHRR sensor is suitable for LST mapping for the overall conditions of soil coverage in Rio Grande do Sul, once the estimated LST, by the three tested methods, was close to the measured air temperature at the selected locations. Sobrino et al. was the most adequate method.O objetivo deste trabalho foi avaliar a adequação do uso do sensor AVHRR/NOAA (Advanced Very High Resolution Radiometer/National Oceanic and Atmospheric Administration) para mapeamento da temperatura da superfície terrestre (TST) no Estado do Rio Grande do Sul, por meio da comparação entre três algoritmos clássicos. Foram comparados os métodos de Becker & Li, Sobrino et al. e Kerr et al. para estimativa das TST mínimas, utilizando imagens noturnas e logo após o amanhecer. Os dados de emissividade e TST foram obtidos por meio de combinações matemáticas da radiação detectada nas faixas do visível, infravermelho próximo e termal do sensor AVHRR/NOAA. O sensor AVHRR é adequado para o mapeamento de TST para as condições do tipo de cobertura do solo que predominam no Rio Grande do Sul, visto que a TST estimada pelos três métodos testados foi próxima à temperatura do ar medida nos locais selecionados. O método de Sobrino et al. foi o mais adequado.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraGusso, AníbalFontana, Denise CybisGonçalves, Glauber Acunha2007-02-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/7559Pesquisa Agropecuaria Brasileira; v.42, n.2, fev. 2007; 231-237Pesquisa Agropecuária Brasileira; v.42, n.2, fev. 2007; 231-2371678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/7559/4478info:eu-repo/semantics/openAccess2010-09-20T11:51:21Zoai:ojs.seer.sct.embrapa.br:article/7559Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2010-09-20T11:51:21Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Mapping land surface temperature using AVHRR/NOAA sensor Mapeamento da temperatura da superfície terrestre com uso do sensor AVHRR/NOAA |
title |
Mapping land surface temperature using AVHRR/NOAA sensor |
spellingShingle |
Mapping land surface temperature using AVHRR/NOAA sensor Gusso, Aníbal remote sensing; split-window; air temperature; infrared; thermal sensoriamento remoto; janela dividida; temperatura do ar; infravermelho; termal |
title_short |
Mapping land surface temperature using AVHRR/NOAA sensor |
title_full |
Mapping land surface temperature using AVHRR/NOAA sensor |
title_fullStr |
Mapping land surface temperature using AVHRR/NOAA sensor |
title_full_unstemmed |
Mapping land surface temperature using AVHRR/NOAA sensor |
title_sort |
Mapping land surface temperature using AVHRR/NOAA sensor |
author |
Gusso, Aníbal |
author_facet |
Gusso, Aníbal Fontana, Denise Cybis Gonçalves, Glauber Acunha |
author_role |
author |
author2 |
Fontana, Denise Cybis Gonçalves, Glauber Acunha |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Gusso, Aníbal Fontana, Denise Cybis Gonçalves, Glauber Acunha |
dc.subject.por.fl_str_mv |
remote sensing; split-window; air temperature; infrared; thermal sensoriamento remoto; janela dividida; temperatura do ar; infravermelho; termal |
topic |
remote sensing; split-window; air temperature; infrared; thermal sensoriamento remoto; janela dividida; temperatura do ar; infravermelho; termal |
description |
The objective of this work was to evaluate the suitable use of AVHRR/NOAA (Advanced Very High Resolution Radiometer/National Oceanic and Atmospheric Administration) on land surface temperature (LST) mapping in Rio Grande do Sul State by means of the comparison of three classic algorithms. The methods of Becker & Li, Sobrino et al. and Kerr et al. were compared for the minimum LST estimation, using nocturnal and predawn images. Both emissivity and LST data were obtained by means of mathematical combinations of the visible, near-infrared and thermal detected radiation of the AVHRR/NOAA sensor. The AVHRR sensor is suitable for LST mapping for the overall conditions of soil coverage in Rio Grande do Sul, once the estimated LST, by the three tested methods, was close to the measured air temperature at the selected locations. Sobrino et al. was the most adequate method. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-02-01 |
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://seer.sct.embrapa.br/index.php/pab/article/view/7559 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/7559 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/7559/4478 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.42, n.2, fev. 2007; 231-237 Pesquisa Agropecuária Brasileira; v.42, n.2, fev. 2007; 231-237 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416710590562304 |