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@MastersThesis{Oliveira:2008:AvMeCa,
               author = "Oliveira, Lu{\'{\i}}s Gon{\c{c}}alves Longo de",
                title = "Avalia{\c{c}}{\~a}o de metodologias de 
                         caracteriza{\c{c}}{\~a}o atmosf{\'e}rica na convers{\~a}o de 
                         dados radiom{\'e}tricos digitais em valores f{\'{\i}}sicos",
               school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                 year = "2008",
              address = "S{\~a}o Jos{\'e} dos Campos",
                month = "2008-05-26",
             keywords = "sensoriamento remoto, corre{\c{c}}{\~a}o atmosf{\'e}rica, 
                         fot{\^o}metro solar, Landsat, MODIS, radiometria, atmospheric 
                         correction, sun photometer, landsat, MODIS, radiometry.",
             abstract = "A convers{\~a}o de n{\'u}meros digitais (NDs) de imagens 
                         orbitais em quantidades f{\'{\i}}sicas relacionadas {\`a} 
                         superf{\'{\i}}cie terrestre {\'e} dependente de fiel 
                         caracteriza{\c{c}}{\~a}o atmosf{\'e}rica, a qual tem sido 
                         realizada com medidas obtidas por bal{\~o}es meteorol{\'o}gicos 
                         ou por fot{\^o}metros solares posicionados em 
                         superf{\'{\i}}cie. Recentemente, alguns sensores orbitais 
                         v{\^e}m produzindo dados que tamb{\'e}m permitem caracterizar a 
                         atmosfera, como os oferecidos pelo MODIS. Neste trabalho, valores 
                         de Fatores de Reflet{\^a}ncia Bidirecional de superf{\'{\i}}cie 
                         (FRBs) determinados em campo foram comparados com aqueles 
                         estimados a partir de imagens TM/Landsat-5 utilizando-se modelos 
                         de transfer{\^e}ncia radiativa (MTR), sendo que os dados de 
                         entrada destes modelos referentes {\`a} 
                         caracteriza{\c{c}}{\~a}o da atmosfera foram estimados a partir 
                         do emprego de um fot{\^o}metro solar CIMEL e de produtos 
                         atmosf{\'e}ricos MODIS. Na faixa espectral do vis{\'{\i}}vel, 
                         as estimativas de FRB realizadas com as 
                         caracteriza{\c{c}}{\~o}es MODIS foram sempre melhores que as 
                         realizadas com dados do fot{\^o}metro solar CIMEL. Os RMSE 
                         encontrados utilizando-se o MTR 5s para as 
                         caracteriza{\c{c}}{\~o}es com o fot{\^o}metro solar CIMEL foram 
                         de 0,0316 (TM1), 0,0237 (TM2) e 0,0218 (TM3) e para as 
                         caracteriza{\c{c}}{\~o}es com dados MODIS (em m{\'e}dia) foram 
                         de 0,0246 (TM1), 0,0217 (TM2) e (0,0206) TM3. Nas faixas 
                         espectrais do infravermelho pr{\'o}ximo e m{\'e}dio, os valores 
                         de FRB estimados com dados MODIS se confundem {\`a}queles obtidos 
                         com o fot{\^o}metro CIMEL. Utilizando-se o MTR 5s, para a 
                         caracteriza{\c{c}}{\~a}o CIMEL os RMSE encontrados foram 0,0410 
                         (TM4), 0,0614 (TM5) e 0,0433 (TM7) e para as 
                         caracteriza{\c{c}}{\~o}es com dados MODIS (em m{\'e}dia) foram 
                         de 0,0442 (TM4), 0,0654(TM5) e 0,0451 (TM7). Os resultados 
                         demonstraram que os dados MODIS s{\~a}o aplic{\'a}veis na 
                         convers{\~a}o de dados orbitais para valores de FRB de 
                         superf{\'{\i}}cie. ABSTRACT: The conversion of digital numbers 
                         (DN) of orbital images to physical quantities of the Earth surface 
                         is dependent on a good atmospheric characterization, which has 
                         been performed through the use of data collected by meteorological 
                         balloons or by sun photometers positioned at the surface. Recently 
                         some orbital sensors have generated useful data that can be 
                         utilized in this characterization like those generated by the 
                         sensor MODIS. Here, surface Bidirectional Reflectance Factors 
                         (BRF) estimated from field data were compared to those calculated 
                         from TM/Landsat-5 images converted through radiative transfer 
                         codes. The input data to run these codes were estimated 
                         considering two different sources: a sun photometer and the MODIS 
                         sensor. In the visible region the BRF estimated by MODIS data were 
                         always quite similar to those based on the sun photometer. The 
                         RMSE values determined using MTR 5S based on the sun photometer 
                         data were 0.0316 (TM1), 0.0237 (TM2) and 0.0218 (TM3) and for 
                         those based on MODIS data 0.0246 (TM1), 0.0217 (TM2) e (0.0206) 
                         TM3. In the NIR and SWIR spectral regions, the BRF values 
                         estimated through MODIS data were also quite similar to those 
                         calculated through solar photometer data. Applying MTR 5S to the 
                         sun photometer the RMSE values were 0.0410 (TM4), 0.0614 (TM5) and 
                         0.0433 (TM7); and 0.0442 (TM4), 0.0654(TM5) and 0.0451 (TM7) to 
                         the characterizations performed through MODIS data. The results 
                         have indicated that the MODIS data can be used to convert the DN 
                         into surface BRF.",
            committee = "Lorenzetti, Jo{\~a}o Antonio (presidente) and Ponzoni, 
                         Fl{\'a}vio Jorge (orientador) and Moraes, Elisabete Caria 
                         (orientadora) and Zullo Junior, Jurandir and Novo, Evlyn 
                         M{\'a}rcia Le{\~a}o de Moraes",
           copyholder = "SID/SCD",
         englishtitle = "Orbital Radiometric data conversion through differente atmospheric 
                         characterization methodologies",
             language = "pt",
                pages = "133",
                  ibi = "6qtX3pFwXQZGivnK2Y/TRVj7",
                  url = "http://urlib.net/rep/6qtX3pFwXQZGivnK2Y/TRVj7",
           targetfile = "publicacao.pdf",
        urlaccessdate = "2020, July 11"
}


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