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@Article{AndradeBerCarAlcKam:2018:AsQuAl,
               author = "Andrade, Caroline and Bernarde, Nariane and Carmo, Alisson and 
                         Alc{\^a}ntara, Enner and Kampel, Milton",
          affiliation = "{Universidade de S{\~a}o Paulo (USP)} and {Universidade de 
                         S{\~a}o Paulo (USP)} and {Universidade de S{\~a}o Paulo (USP)} 
                         and {Universidade Estadual Paulista (UNESP)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Assessment of quasi-analytical algorithm for estimating the 
                         inherent optical properties in a complex cascade system",
              journal = "Journal of Applied Remote Sensing",
                 year = "2018",
               volume = "12",
               number = "3",
                pages = "e036014",
                month = "Sept.",
             keywords = "bio-optical models, water quality, water resources monitoring, 
                         remotely sensed data.",
             abstract = "Several quasi-analytical algorithm (QAA) versions were developed 
                         to make it suitable for different inland water systems. QAA(BBHR) 
                         and QAA(OMW) were reparameterized based on two reservoirs from the 
                         Tiete River cascading system (Sao Paulo State, Brazil), which 
                         present widely differing compositions. Considering the purpose of 
                         monitoring the entire cascade through a unique QAA version, we 
                         aimed to assess the suitability of these two QAA versions and, in 
                         addition, another two QAA native forms (versions 5 and 6), for 
                         retrieving inherent optical properties (IOPs) in Ibitinga 
                         hydroelectric reservoir (IHR), situated in the same cascading 
                         system. In addition to that, we addressed bio-optical 
                         characterization of IHR, using spectral and water quality data 
                         collected in a field campaign conducted in July 2016. Wide spatial 
                         variability of optically significant constituent (OSC) in IHR and 
                         colored dissolved organic matter predominance in its absorption 
                         budget was observed. None of the tested QAA versions were 
                         completely suitable in retrieving absorption coefficients for IHR 
                         in all wavelengths. However, results for wavelengths commonly used 
                         as proxy for OSC concentration retrieval were satisfactory in some 
                         of the models. Therefore, the results obtained in this study shows 
                         that QAAs versions can be used for specific purposes (e.g., 
                         chlorophyll-a mapping), by employing the best model for IOPs 
                         retrieval at a specific wavelength. This highlights the challenge 
                         of copying with high optical variability in cascading systems. In 
                         this sense, further research is necessary, for either achieving a 
                         QAA reparameterized version appropriate for aquatic systems with 
                         widely differing optical properties or another analytical scheme. 
                         (C) 2018 Society of Photo-Optical Instrumentation Engineers 
                         (SPIE).",
                  doi = "10.1117/1.JRS.12.036014",
                  url = "http://dx.doi.org/10.1117/1.JRS.12.036014",
                 issn = "1931-3195",
             language = "en",
           targetfile = "andrade-assessment.pdf",
        urlaccessdate = "25 nov. 2020"
}


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