@InProceedings{NunesSouzFerrVice:2009:UtDaSA,
               author = "Nunes, Gustavo Manzon and Souza Filho, Carlos Roberto de and 
                         Ferreira Junior, Laerte Guimar{\~a}es and Vicente, Luiz Eduardo",
          affiliation = "{Universidade Federal do Mato Grosso} and {Universidade Estadual 
                         de Campinas} and {Universidade Federal de Goi{\'a}s} and 
                         {Universidade Estadual de Campinas}",
                title = "Utiliza{\c{c}}{\~a}o de Dados SAR R99-B na an{\'a}lise e 
                         caracteriza{\c{c}}{\~a}o de Florestas de V{\'a}rzea e de Terra 
                         Firme em Ecossistemas Amaz{\^o}nicos",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "7361--7367",
         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 = "synthetic aperture radar, remote sensing, tropical forest mapping, 
                         radar de abertura sint{\'e}tica, sensoriamento remoto, mapeamento 
                         de florestas tropicais.",
             abstract = "The development of Remote Sensing technologies and methodologies 
                         is becoming increasingly essential in the analysis and monitoring 
                         of vast areas dominated by the Amazon rainforest. This study seeks 
                         to evaluate the capability of data generated by Synthetic Aperture 
                         Radar (SAR)/R99-B sensor, in mapping phytophysiognomies found in 
                         the Aman{\~a} and Mamirau{\'a} Sustainable Development Reserves 
                         (RDSA and RDSM). By means of L band (1.28 GHz), full polarimetric 
                         (HH, VV, VH, HV), SAR-amplitude data acquired with the SAR R99-B 
                         sensor, distinctions among flooded forest phytophysiognomies in 
                         the RDSA and RDSM was pursued. The Iterated Conditional Modes 
                         (ICM) algorithm was employed to perform the local/contextual 
                         polarimetric classification of the data. Results showed that the 
                         use of multivariate distributions in amplitude with a band of 
                         texture produced classifications of superior quality in relation 
                         to those obtained with the uni / bivariate polarimetric data.",
  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@80/2008/11.17.22.42.15",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.17.22.42.15",
           targetfile = "7361-7367.pdf",
                 type = "Radar: Pesquisa, Desenvolvimento e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "09 maio 2024"
}