@InProceedings{MontanherNovoBarb:2015:QuEfRe,
               author = "Montanher, Ot{\'a}vio Cristiano and Novo, Evlyn M{\'a}rcia 
                         Le{\~a}o de Moraes and Barbosa, Claudio Clemente Faria",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Qual {\'e} o efeito da resolu{\c{c}}{\~a}o radiom{\'e}trica na 
                         estimativa da concentra{\c{c}}{\~a}o de sedimentos suspensos via 
                         dados orbitais? Experimento com modelos da bacia amaz{\^o}nica",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "6602--6609",
         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 = "Recently were developed empirical models for estimation of 
                         suspended sediment concentration (SSC) in Amazonian rivers 
                         optically dominated by suspended sediments, typically the white 
                         waters, from Landsat 5/TM radiometric data. Taking into account 
                         the well-know limitations of TM sensor concerning radiometric 
                         resolution, some questions have emerged: how these models are 
                         affected by radiometric discretization? How is the estimation 
                         performance by supposing different radiometric resolutions? So, 
                         this paper has the following objectives: i) to account the SSC 
                         estimative errors of empirical models of Amazonian with water 
                         rivers, originated only from radiometric discretization of TM 
                         sensor; and ii) to simulate the estimative errors for other 
                         radiometric resolution. The experiment includes: the TM sensor 
                         (which is the data used for the modeling in the original models), 
                         MSS - 7 bits - MODIS - 10 bits - OLI - 12 bits and ALI - 15 bits. 
                         As assumed in the hypothesis, our results show that an increase in 
                         the radiometric resolution induces an increase in the estimation 
                         accuracy. The results show great estimation errors from MSS and TM 
                         radiometric resolution, while MODIS, OLI and ALI sensors have an 
                         accurate estimation. Although the using of 12 and 15 bits of 
                         resolution makes high accuracy SSC estimation, when one take into 
                         account the following constraints of remote sensing data: 
                         acquisition, transmission, storage, distribution and processing, 
                         the 10 bits resolution seems to be more appropriate for the 
                         application presented in this study.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "1442",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4J42",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4J42",
           targetfile = "p1442.pdf",
                 type = "Sistemas sensores: projeto, calibra{\c{c}}{\~a}o e 
                         avalia{\c{c}}{\~a}o",
        urlaccessdate = "27 abr. 2024"
}