@InProceedings{CarvalhoBarbNovo:2013:AjBaMo,
               author = "Carvalho, Lino Augusto Sander de and Barbosa, Cl{\'a}udio 
                         Clemente Faria and Novo, Evlyn Marcia 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)}",
                title = "Ajuste de bandas de modelos emp{\'{\i}}ricos de estimativa de 
                         clorofila aplicados {\`a} regi{\~a}o da plan{\'{\i}}cie de 
                         inunda{\c{c}}{\~a}o do Lago Grande Curuai - PA",
            booktitle = "Anais...",
                 year = "2013",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "8924--8931",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Empirical Models to estimate chlorophyll-a concentrations are 
                         among the most used in the remote sensing community. Historically, 
                         those models were applied to ocean monitoring, but in the last 
                         decade they were tested for Case II water types studies. In 
                         particular, in tropical water bodies characterized by highly 
                         complex mixture of optically active components. This complexity, 
                         based on high concentration of colored dissolved Organic Matter 
                         (CDOM), Total of Suspended Sediments (TSS) and Chlorophyll- 
                         (Chlo-a) that varies independently, one from each other, makes it 
                         necessary the search for a set of spectral bands able to improve 
                         the accuracy of chlorophyll estimates. This work uses a 
                         computational search method to find the best band set, for 295 
                         samples distributed in 4 periods in a hydrological cycle. The 
                         samples are from the Curuai floodplain located in the Par{\'a} 
                         State in the Amazon Region. Results show good agreement to 
                         literature, but also shows some discrepancies, mostly because of 
                         tropical waters complexity. The new bands show better adjustments 
                         compared to standard bands intervals, found in literature. Models 
                         of Two and three band are adequate only for two periods with high 
                         degree of confidence. A discussion about the behavior of each 
                         period, and its empirical model best fit is also made.",
  conference-location = "Foz do Igua{\c{c}}u",
      conference-year = "13-18 abr. 2013",
                 isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
                label = "494",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "3ERPFQRTRW34M/3E7GDML",
                  url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GDML",
           targetfile = "p0494.pdf",
                 type = "Sensoriamento Remoto Hiperespectral",
        urlaccessdate = "01 maio 2024"
}