@Article{CurtarelliBMFCNCS:2020:ReSeSe,
               author = "Curtarelli, Victor Pedroso and Barbosa, Cl{\'a}udio Clemente 
                         Faria and Maciel, Daniel Andrade and Flores J{\'u}nior, 
                         Rog{\'e}rio and Carlos, Felipe Menino and Novo, Evlyn M{\'a}rcia 
                         Le{\~a}o de Moraes and Curtarelli, Marcelo Pedroso and Silva, 
                         Edson Filisbino Freire da",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Green Economy Center} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Diffuse attenuation of clear water tropical reservoir: a remote 
                         sensing semi-analytical approach",
              journal = "Remote Sensing",
                 year = "2020",
               volume = "20",
               number = "17",
                pages = "e2828",
                month = "Sept.",
             keywords = "inland waters, remote sensing of water transparency, downwelling 
                         irradiance, diffuse attenuation coefficient, semi-analytical 
                         algorithm, empirical algorithm.",
             abstract = "The diffuse attenuation coefficient of downwelling irradiance (Kd) 
                         is an essential parameter for inland waters research by remotely 
                         sensing the water transparency. Lately,Kdsemi-analytical 
                         algorithms substituted the empirical algorithms widely employed. 
                         The purpose of this research was to reparametrize a 
                         semi-analytical algorithm to estimateKdand then apply it to a 
                         Sentinel-2 MSI time-series (2017-2019) for the Tres Marias 
                         reservoir, Brazil. The results for theKdsemi-analytical 
                         reparametrization achieved good accuracies, reaching mean absolute 
                         percentage errors (MAPE) for bands B2, B3 and B4 (492, 560 and 665 
                         nm), lower than 21% when derived from in-situ remote sensing 
                         reflectance (Rrs), while for MSI Data, a derived MAPE of 12% and 
                         38% for B2 and B3, respectively. After the application of the 
                         algorithm to Sentinel-2 images time-series, seasonal patterns were 
                         observed in the results, showing highKdvalues at 492 nm during the 
                         rainy periods, mainly in the tributary mouths, possibly due to an 
                         increase in the surface runoff and inflows and outflow rates in 
                         the reservoir watershed.",
                  doi = "10.3390/rs12172828",
                  url = "http://dx.doi.org/10.3390/rs12172828",
                 issn = "2072-4292",
             language = "en",
           targetfile = "remotesensing-12-02828.pdf",
        urlaccessdate = "25 abr. 2024"
}