Estimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfície
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UFRPE |
Texto Completo: | http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5738 |
Resumo: | The remote sensing is a tool that has enabled major advances in studies of agrometeorology and application to areas with different types of coverage, can be used to estimate the radiation balance and its applications. Therefore this study aimed to estimate the balance of radiation to the surface, from the sensor data Thematic Mapper (TM) satellite LANDSAT 5, with the use of the algorithm SEBAL. The estimate data were compared with data from two stations in agrometeorological: one in the cerrado region, and another in sugar cane. In the study area, located in the municipality of Santa Rita do Passa Quatro - SP, Brazil. To carry out the study were obtained six orbital images from the satellite Landsat 5 TM sensors in orbit 220 in section 75, the dates of 22/02, 11/04, 29/05, 01/08, 17/08 and 21/11 all in the year 2005, the matching DJ of 53, 101, 149, 213, 229 and 325, respectively. We performed the geometric correction for images, then were generated the letters of albedo, the Normalised Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), leaf area Index (LAI), surface temperature (Ts), Long Wave Radiation of Issued and Balance of Radiation (Rn). The estimated values of Rn showed correlations r of 0,994 and 0,984 with data from the stations inthe area sugar cane and cerrado, respectively. It concludes that the proposed methodology of the algorithm SEBAL for estimation of Rn for the two areas, values achieved very consistent and satisfactory for this application. |
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MOURA, Geber Barbosa de AlbuquerqueSILVA, Bernardo Barbosa daPANDORFI, HélitonAZEVEDO, Marcílio dehttp://lattes.cnpq.br/7722106627371401GIONGO, Pedro Rogério2016-10-18T12:35:22Z2008-01-29GIONGO, Pedro Rogério. Estimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfície. 2008. 62 f. Dissertação (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife.http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5738The remote sensing is a tool that has enabled major advances in studies of agrometeorology and application to areas with different types of coverage, can be used to estimate the radiation balance and its applications. Therefore this study aimed to estimate the balance of radiation to the surface, from the sensor data Thematic Mapper (TM) satellite LANDSAT 5, with the use of the algorithm SEBAL. The estimate data were compared with data from two stations in agrometeorological: one in the cerrado region, and another in sugar cane. In the study area, located in the municipality of Santa Rita do Passa Quatro - SP, Brazil. To carry out the study were obtained six orbital images from the satellite Landsat 5 TM sensors in orbit 220 in section 75, the dates of 22/02, 11/04, 29/05, 01/08, 17/08 and 21/11 all in the year 2005, the matching DJ of 53, 101, 149, 213, 229 and 325, respectively. We performed the geometric correction for images, then were generated the letters of albedo, the Normalised Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), leaf area Index (LAI), surface temperature (Ts), Long Wave Radiation of Issued and Balance of Radiation (Rn). The estimated values of Rn showed correlations r of 0,994 and 0,984 with data from the stations inthe area sugar cane and cerrado, respectively. It concludes that the proposed methodology of the algorithm SEBAL for estimation of Rn for the two areas, values achieved very consistent and satisfactory for this application.O sensoriamento remoto é uma ferramenta que tem possibilitado grandes avanços a estudos da agrometeorologia, bem como aplicação a superfícies com diferentes tipos de cobertura, podendo ser utilizado para estimativas do saldo de radiação e suas aplicações. Assim este trabalho objetivou estimar o Balanço de Radiação à Superfície, a partir de dados do sensor Thematic Mapper (TM) do satélite LANDSAT 5, com a utilização do algoritmo SEBAL. Os dados estimados foram comparados com dados de duas estações agrometeorológicas em superfície: uma em região de Cerrado, e outra em Cana-de-Açúcar. A região de estudo fica localizada no município de Santa Rita do Passa Quatro – SP, Brasil. Para a realização do estudo foram obtidas seis imagens orbitais do satélite Landsat 5 sensores TM, na órbita 220 e ponto 75, nas datas de 22/02, 11/04, 29/05, 01/08, 17/08 e 21/11 todas do ano de 2005, a que correspondem aos DJ de 53, 101, 149, 213, 229 e 325, respectivamente. Foram realizadas as correções geométricas para as imagens, em seguida foram geradas as cartas de albedo, Índice de Vegetação da Diferença Normalizada (NDVI), Índice de Vegetação Ajustado ao Solo (SAVI), Índice de Área Foliar (IAF), Temperatura de superfície (Ts), Radiação de OndaLonga Emitida e Saldo de Radiação (Rn). Os valores do Rn estimados apresentaram correlações de r iguais a 0,994 e 0,984 com os dados de superfície das estações da Cana-de-açúcar e Cerrado, respectivamente. Conclui-se que a metodologia proposta do algoritmo SEBAL, para estimativa de Rn para as duas áreas, alcançou valores muito consistentes e satisfatórios para essa aplicação.Submitted by (lucia.rodrigues@ufrpe.br) on 2016-10-18T12:35:22Z No. of bitstreams: 1 Pedro Rogerio Giongo.pdf: 8561416 bytes, checksum: 9518df2b8c5f4fdab4d53cd51d03d547 (MD5)Made available in DSpace on 2016-10-18T12:35:22Z (GMT). No. of bitstreams: 1 Pedro Rogerio Giongo.pdf: 8561416 bytes, checksum: 9518df2b8c5f4fdab4d53cd51d03d547 (MD5) Previous issue date: 2008-01-29Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfporUniversidade Federal Rural de PernambucoPrograma de Pós-Graduação em Engenharia AgrícolaUFRPEBrasilDepartamento de Engenharia AgrícolaAnálise de imagensLandsat 5 - TMSaldo de radiaçãoSEBALRadiação atmosféricaImage analysisAtmospheric radiationBalance of radiationCIENCIAS AGRARIAS::ENGENHARIA AGRICOLAEstimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfícieEstimation the balance of radiation using techniques of remote sensing and surface datainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis-5347692450416052129600600600600-286211619635507967491854457215887615552075167498588264571info:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRPEinstname:Universidade Federal Rural de Pernambuco (UFRPE)instacron:UFRPELICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/5738/1/license.txtbd3efa91386c1718a7f26a329fdcb468MD51ORIGINALPedro Rogerio Giongo.pdfPedro Rogerio Giongo.pdfapplication/pdf8561416http://www.tede2.ufrpe.br:8080/tede2/bitstream/tede2/5738/2/Pedro+Rogerio+Giongo.pdf9518df2b8c5f4fdab4d53cd51d03d547MD52tede2/57382023-06-15 17:56:53.639oai:tede2: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Biblioteca Digital de Teses e Dissertaçõeshttp://www.tede2.ufrpe.br:8080/tede/PUBhttp://www.tede2.ufrpe.br:8080/oai/requestbdtd@ufrpe.br ||bdtd@ufrpe.bropendoar:2024-05-28T12:33:28.097024Biblioteca Digital de Teses e Dissertações da UFRPE - Universidade Federal Rural de Pernambuco (UFRPE)false |
dc.title.por.fl_str_mv |
Estimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfície |
dc.title.alternative.eng.fl_str_mv |
Estimation the balance of radiation using techniques of remote sensing and surface data |
title |
Estimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfície |
spellingShingle |
Estimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfície GIONGO, Pedro Rogério Análise de imagens Landsat 5 - TM Saldo de radiação SEBAL Radiação atmosférica Image analysis Atmospheric radiation Balance of radiation CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
title_short |
Estimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfície |
title_full |
Estimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfície |
title_fullStr |
Estimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfície |
title_full_unstemmed |
Estimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfície |
title_sort |
Estimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfície |
author |
GIONGO, Pedro Rogério |
author_facet |
GIONGO, Pedro Rogério |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
MOURA, Geber Barbosa de Albuquerque |
dc.contributor.referee1.fl_str_mv |
SILVA, Bernardo Barbosa da |
dc.contributor.referee2.fl_str_mv |
PANDORFI, Héliton |
dc.contributor.referee3.fl_str_mv |
AZEVEDO, Marcílio de |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/7722106627371401 |
dc.contributor.author.fl_str_mv |
GIONGO, Pedro Rogério |
contributor_str_mv |
MOURA, Geber Barbosa de Albuquerque SILVA, Bernardo Barbosa da PANDORFI, Héliton AZEVEDO, Marcílio de |
dc.subject.por.fl_str_mv |
Análise de imagens Landsat 5 - TM Saldo de radiação SEBAL Radiação atmosférica |
topic |
Análise de imagens Landsat 5 - TM Saldo de radiação SEBAL Radiação atmosférica Image analysis Atmospheric radiation Balance of radiation CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
dc.subject.eng.fl_str_mv |
Image analysis Atmospheric radiation Balance of radiation |
dc.subject.cnpq.fl_str_mv |
CIENCIAS AGRARIAS::ENGENHARIA AGRICOLA |
description |
The remote sensing is a tool that has enabled major advances in studies of agrometeorology and application to areas with different types of coverage, can be used to estimate the radiation balance and its applications. Therefore this study aimed to estimate the balance of radiation to the surface, from the sensor data Thematic Mapper (TM) satellite LANDSAT 5, with the use of the algorithm SEBAL. The estimate data were compared with data from two stations in agrometeorological: one in the cerrado region, and another in sugar cane. In the study area, located in the municipality of Santa Rita do Passa Quatro - SP, Brazil. To carry out the study were obtained six orbital images from the satellite Landsat 5 TM sensors in orbit 220 in section 75, the dates of 22/02, 11/04, 29/05, 01/08, 17/08 and 21/11 all in the year 2005, the matching DJ of 53, 101, 149, 213, 229 and 325, respectively. We performed the geometric correction for images, then were generated the letters of albedo, the Normalised Difference Vegetation Index (NDVI), Soil Adjusted Vegetation Index (SAVI), leaf area Index (LAI), surface temperature (Ts), Long Wave Radiation of Issued and Balance of Radiation (Rn). The estimated values of Rn showed correlations r of 0,994 and 0,984 with data from the stations inthe area sugar cane and cerrado, respectively. It concludes that the proposed methodology of the algorithm SEBAL for estimation of Rn for the two areas, values achieved very consistent and satisfactory for this application. |
publishDate |
2008 |
dc.date.issued.fl_str_mv |
2008-01-29 |
dc.date.accessioned.fl_str_mv |
2016-10-18T12:35:22Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
GIONGO, Pedro Rogério. Estimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfície. 2008. 62 f. Dissertação (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife. |
dc.identifier.uri.fl_str_mv |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5738 |
identifier_str_mv |
GIONGO, Pedro Rogério. Estimativa do balanço de radiação com técnicas de sensoriamento remoto e dados de superfície. 2008. 62 f. Dissertação (Programa de Pós-Graduação em Engenharia Agrícola) - Universidade Federal Rural de Pernambuco, Recife. |
url |
http://www.tede2.ufrpe.br:8080/tede2/handle/tede2/5738 |
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por |
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por |
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600 600 600 600 |
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9185445721588761555 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Universidade Federal Rural de Pernambuco |
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Universidade Federal Rural de Pernambuco |
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