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@InProceedings{MontanherNovoCarvBarb:2015:SoCrFe,
               author = "Montanher, Ot{\'a}vio Cristiano and Novo, Evlyn M{\'a}rcia 
                         Le{\~a}o de Moraes and Carvalho, Lino Augusto Sander de and 
                         Barbosa, Claudio Clemente Faria",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Sobre as cr{\'{\i}}ticas feitas {\`a} modelagem 
                         emp{\'{\i}}rica para estimativa da concentra{\c{c}}{\~a}o de 
                         sedimentos suspensos via sensoriamento remoto",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3245--3252",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "The use of empirical models for water quality parameters retrieval 
                         based on orbital radiometric data has been criticized by the 
                         remote sensing scientific community. While earlier studies were 
                         widely based on empirical methods, currently, a great effort is 
                         focused in another direction: the development of analytical 
                         models. Controversially, in this paper we present a wide review of 
                         current studies (2009 2014), based on empirical models to evaluate 
                         spatial-temporal distribution of suspended sediment concentrations 
                         (SSC) in case 2 waters. As we have founded an inconsistency in the 
                         bibliography, this paper aims to discuss what are the reasons for 
                         that. In order to support our views, we carried out a residual 
                         analysis of empirical models for SSC retrieval to identify 
                         possible limiting factors. Five empirical models for Amazonian 
                         rivers, based on Landsat 5/TM data were used. The results do not 
                         demonstrate any relationship between model errors and: (i) time 
                         (1984-2011); (ii) period of the year; (iii) SWIR band 5 as a proxy 
                         of the Sun Glint effect; (iv) solar zenithal angle; (v) an index 
                         of atmospheric scattering. As the models estimates arent related 
                         with those variables, they can be applied to any scene along time, 
                         allowing for SSC monitoring. The large sample number of scenes 
                         used in those models, acquired in a wide range of acquisition 
                         geometry, atmospheric conditions among other variables should 
                         explain the success for application.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "641",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4BFN",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM4BFN",
           targetfile = "p0641.pdf",
                 type = "Sensoriamento remoto de {\'a}guas interiores",
        urlaccessdate = "02 dez. 2020"
}


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