@InProceedings{RenóMoSaNaLoSaNo:2009:CaEsÁg,
               author = "Ren{\'o}, Vivian Fr{\'o}es and Moraes, Luiz Eduardo de Souza and 
                         Saito, {\'E}rika Akemi and Nascimento, Renata Fernandes Figueira 
                         and Lobo, Felipe de Lucia and Samizava, Tiago Matsuo and Novo, 
                         Evlyn M{\'a}rcia Le{\~a}o de Moraes",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais - INPE} and {Instituto 
                         Nacional de Pesquisas Espaciais - INPE} and {Instituto Nacional de 
                         Pesquisas Espaciais - INPE} and {Instituto Nacional de Pesquisas 
                         Espaciais - INPE} and {Instituto Nacional de Pesquisas Espaciais - 
                         INPE} and {Faculdade de Ci{\^e}ncia e Tecnologia da Universidade 
                         Estadual Paulista - FCT/UNESP} and {Instituto Nacional de 
                         Pesquisas Espaciais - INPE}",
                title = "Caracteriza{\c{c}}{\~a}o espectral das {\'a}guas da 
                         Plan{\'{\i}}cie do Rio Paran{\'a} a partir de imagens Landsat 
                         TM",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "4821--4828",
         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 = "Hydrological resources, spectral linear mixing model, image 
                         classification, recursos h{\'{\i}}dricos, modelo linear de 
                         mistura espectral, classifica{\c{c}}{\~a}o de imagem.",
             abstract = "Paran{\'a} River water types were mapped using image processing 
                         and classification techniques based on Spectral Linear Mixture 
                         Models, applied on a TM Landsat image. Spectral characterization 
                         of water types was performed using both in situ radiometric and 
                         limnological parameters sampling. Both set of attributes were 
                         employed in end-member definition for the TM image classification. 
                         Results yielded only two distinct types of water classes, the 
                         first constituted by high transparency and chlorophyll Paran{\'a} 
                         water, and the second by turbid waters from channels and lagoons, 
                         found in connected rivers like Ba{\'{\i}}a and Ivinheima Best 
                         classification results were derived from the no supervised model, 
                         yielding a more reliable map of water type distribution for the 
                         studied section of Paran{\'a} river.",
  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@80/2008/11.14.22.00",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2008/11.14.22.00",
           targetfile = "4821-4828.pdf",
                 type = "Hidrologia",
        urlaccessdate = "20 maio 2024"
}