author = "Igor, Ogashawara and Mishra, Deepak R. and Nascimento, Renata F. 
                         F. and Alc{\^a}ntara, Enner H. and Kampel, Milton and Stech, 
                         Jos{\'e} Luiz",
          affiliation = "{Indiana University} and {University of Georgia} and Geopixel and 
                         {Universidade de S{\~a}o Paulo (USP)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)}",
                title = "Re-parameterization of a quasi-analytical algorithm for colored 
                         dissolved organic matter dominant inland waters",
              journal = "International Journal of Applied Earth Observation and 
                 year = "2016",
               volume = "53",
                pages = "128--145",
                month = "Dec.",
             keywords = "Bio-optical model, Colored dissolved organic matter, Inland 
                         waters, Quasi-analytical algorithm, Inherent optical properties, 
                         Absorption coefficient of phytoplankton, Remote sensing 
             abstract = "Quasi-Analytical Algorithms (QAAs) are based on radiative transfer 
                         equations and have been used to derive inherent optical properties 
                         (IOPs) from the above surface remote sensing reflectance (R-rs) in 
                         aquatic systems in which phytoplankton is the dominant optically 
                         active constituents (OACs). However, Colored Dissolved Organic 
                         Matter (CDOM) and Non Algal Particles (NAP) can also be dominant 
                         OACs in water bodies and till now a QAA has not been parametrized 
                         for these aquatic systems. In this study, we compared the 
                         performance of three widely used QAAs in two CDOM dominated 
                         aquatic systems which were unsuccessful in retrieving the spectral 
                         shape of IOPS and produced minimum errors of 350% for the total 
                         absorption coefficient (a), 39% for colored dissolved matter 
                         absorption coefficient (a(CDM)) and 7566.33% for phytoplankton 
                         absorption coefficient (a(phy)). We re-parameterized a QAA for 
                         CDOM dominated (hereafter QAA(CDOM)) waters which was able to not 
                         only achieve the spectral shape of the OACs absorption 
                         coefficients but also brought the error magnitude to a reasonable 
                         level. The average errors found for the 400-750nm range were 30.71 
                         and 14.51 for a, 14.89 and 8.95 for a(CDM) and 25.90 and 29.76 for 
                         a(phy) in Funil and Itumbiara Reservoirs, Brazil respectively. 
                         Although QAA(CDOM) showed significant promise for retrieving IOPs 
                         in CDOM dominated waters, results indicated further tuning is 
                         needed in the estimation of a(lambda) and a(phy)(lambda). 
                         Successful retrieval of the absorption coefficients by QAA(CDOM) 
                         would be very useful in monitoring the spatio-temporal variability 
                         of IOPS in CDOM dominated waters.",
                  doi = "10.1016/j.jag.2016.09.001",
                  url = "http://dx.doi.org/10.1016/j.jag.2016.09.001",
                 issn = "0303-2434",
             language = "en",
           targetfile = "ogashawara_re.pdf",
        urlaccessdate = "17 jan. 2021"