@InProceedings{FadulFidaPedrPrad:2009:AnCoAt,
               author = "Fadul, Maria Julia Amaral and Fidalgo, Elaine Cristina Cardoso and 
                         Pedreira, Bernadete da Concei{\c{c}}{\~a}o Carvalho Gomes and 
                         Prado, Rachel Bardy",
          affiliation = "{Centro de Ci{\^e}ncias Sociais da Pontif{\'{\i}}cia 
                         Universidade Cat{\'o}lica/ RJ} and {Embrapa Solos/RJ} and 
                         {Embrapa Solos/RJ} and {Embrapa Solos/RJ}",
                title = "An{\'a}lise da corre{\c{c}}{\~a}o atmosf{\'e}rica de imagens 
                         Landsat em estudo multitemporal na regi{\~a}o de Mata 
                         Atl{\^a}ntica, Estado do Rio de Janeiro",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "1339--1345",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, digital image processing, multi-temporal images, 
                         sensoriamento remoto, processamento digital de iamgens, imagens 
                         multitemporais.",
             abstract = "Multitemporal, remotely sensed data applied to land use land cover 
                         dynamic studies require radiometric correction of images, in 
                         addition to geometric correction. This allow the analysis of 
                         temporal variation of targets without the influence of others 
                         factors such as the atmospheric effects. This study aims to apply 
                         the dark-object subtraction technique to correct atmospheric 
                         effects and to analyze the results on multitemporal images of 
                         rivers Macacu and Caceribu watersheds, in Rio de Janeiro state, in 
                         Atlantic Forest region. Images without clouds from sensors 
                         TM/Landsat-5 and ETM+/Landsat-7 were selected for analysis of land 
                         use land cover dynamic of two periods of interest: 1997 to 2002 
                         and 2002 to 2007. The results indicate that the correction method 
                         did not reduce the atmospheric effects in a satisfactory manner, 
                         and that these effects continued to influence in any significant 
                         way in the spectral response of the targets. The major differences 
                         between the levels of gray of the corrected images were among the 
                         images of different sensors, indicating likely influence of the 
                         response of the sensors on the final results.",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.13.12.04",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.13.12.04",
           targetfile = "1339-1345.pdf",
                 type = "An{\'a}lise e Aplica{\c{c}}{\~a}o de Imagens Multitemporais",
        urlaccessdate = "08 maio 2024"
}