author = "Alc{\^a}ntara, Enner Herenio and Ogashawara, Igor and Curtarelli, 
                         Marcelo Pedroso and Fernandes, Renata and Kampel, Milton and 
                         Stech, Jos{\'e} Luiz",
          affiliation = "{} and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)} 
                         and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Avalia{\c{c}}{\~a}o do QAA (Quasi-Analytical Algorithm) na 
                         estimativa do coeficiente de absor{\c{c}}{\~a}o total (at) da 
                         {\'a}gua do reservat{\'o}rio de Itumbiara (GO)",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "239--246",
         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 water represents a complex mixture of a variety of dissolved 
                         or particulate materials. These materials have different optical 
                         properties that interact with light in different ways in function 
                         of their nature and concentration. Quantitative interpretations of 
                         the detected signal by remote sensors in terms of water materials 
                         require that the effects caused by variations in the incident 
                         light field should be also considered. Optical properties of 
                         inland water vary spatially and temporally corresponding to 
                         changes in the concentration of water materials. Thereupon, the 
                         water color modeling aims to express the remote sensing 
                         reflectance in terms of Inherent Optical Properties (IOPs), such 
                         as total absorption coefficient (at). The development of models 
                         for deriving IOPs from Apparent Optical Properties (AOPs) has been 
                         essential for achieving determinations of water IOPs. One 
                         algorithm used to estimate the (at) is the Quasi-Analytical 
                         Algorithm (QAA). The aim of this paper was to apply the QAA in a 
                         tropical hydroelectric reservoir, during the dry reason, and 
                         evaluate their sensibility in estimate (at) using the remote 
                         sensing reflectance (Rrs). The results showed that for shorter 
                         wavelengths (443 e 560nm) the absorption was dominated by 
                         non-algal particle (aNAP) and for 665 e 700nm the absorption by 
                         phytoplankton was dominant (aphy). The QAA tends to underestimate 
                         the (at) for wavelengths from 450 to 600nm and superestimate for 
                         wavelengths from 650 to 700nm. The highest errors were found at 
                         wavelengths 400 and 700nm and the lowest at 600-650nm. We can 
                         conclude that QAA starts to lose its potential when the 
                         concentration of non-algal particle increases.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "51",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM454H",
                  url = "http://urlib.net/rep/8JMKD3MGP6W34M/3JM454H",
           targetfile = "p0051.pdf",
                 type = "Sensoriamento remoto de {\'a}guas interiores",
        urlaccessdate = "04 dez. 2020"