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@Article{AndradeAlcāBernKamp:2019:AsSeMo,
               author = "Andrade, Caroline and Alc{\^a}ntara, Enner and Bernardo, Nariane 
                         and Kampel, Milton",
          affiliation = "{Universidade Estadual Paulista (UNESP)} and {Universidade 
                         Estadual Paulista (UNESP)} and {Universidade Estadual Paulista 
                         (UNESP)} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "An assessment of semi-analytical models based on the absorption 
                         coefficient in retrieving the chlorophyll-a concentration from a 
                         reservoir",
              journal = "Advances in Space Research",
                 year = "2019",
               volume = "63",
               number = "7",
                pages = "2175--2188",
                month = "Apr.",
             keywords = "Trophic status, Water quality monitoring, Inland water, Satellite 
                         data.",
             abstract = "Monitoring chlorophyll-a (Chl-a) concentrations in inland waters 
                         is crucial for water quality management, since Chl-a is a proxy 
                         for phytoplankton biomass and, thus, for ecological health of a 
                         water environment. Chl-a concentration can be retrieved through 
                         the inherent optical properties (IOPs) of a water system, which, 
                         in turn, can be remotely sensed obtained. Quasi-analytical 
                         algorithm (QAA), originally developed for ocean waters, can also 
                         retrieve IOPs for inland waters after re-parameterizations. This 
                         study is aimed at assessing the performance of sixteen schemes 
                         composed by QAA original and re-parameterized versions followed by 
                         models that use absorption coefficients as inputs for estimating 
                         Chl-a concentration in Ibitinga reservoir, located at Tiete River 
                         cascading system, Sao Paulo State, Brazil. It was verified that 
                         only QAAV5 based schemes were able to obtain reasonable estimates 
                         for image data and that by four models tested presented similar 
                         and acceptable results for QAAV5 outputs. The best model were 
                         applied to a Ocean and Land Colour Instrument (OLCI) image. Light 
                         absorption in the reservoir showed to be dominated by colored 
                         dissolved organic matter (CDOM), and wide spatial and temporal 
                         variability of optical and water quality properties was 
                         observed.",
                  doi = "10.1016/j.asr.2018.12.023",
                  url = "http://dx.doi.org/10.1016/j.asr.2018.12.023",
                 issn = "0273-1177 and 1879-1948",
             language = "en",
           targetfile = "andrade_assessment.pdf",
        urlaccessdate = "03 dez. 2020"
}


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