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@InProceedings{CarvalhoGianCiotSald:2009:AvDeAl,
               author = "Carvalho, Melissa and Gianesella, S{\^o}nia Maria Flores and 
                         Ciotti, {\'A}urea Maria and Saldanha-Corr{\^e}a, Fl{\'a}via 
                         Marisa Prado",
          affiliation = "{Instituto Oceanogr{\'a}fico da Universidade de S{\~a}o Paulo} 
                         and {Instituto Oceanogr{\'a}fico da Universidade de S{\~a}o 
                         Paulo} and Universidade Estadual Paulista J{\'u}lio de Mesquita 
                         Filho, Campus do Litoral Paulista and {Instituto 
                         Oceanogr{\'a}fico da Universidade de S{\~a}o Paulo}",
                title = "Avalia{\c{c}}{\~a}o do desempenho de algoritmos 
                         emp{\'{\i}}ricos globais para a estimativa da 
                         concentra{\c{c}}{\~a}o de clorofila-a na Plataforma Continental 
                         de Santos (SP)",
            booktitle = "Anais...",
                 year = "2009",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares",
                pages = "6415--6422",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 14. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "chlorophyll-a, radiometry, continental shelf, Santos, bio-optics 
                         algorithms, clorofila-a, radiometria, plataforma continental, 
                         Santos, algoritmos bio-{\'o}pticos.",
             abstract = "This study evaluates the performance of three global algorithms: 
                         OC4V4 and OC2v4 (for SeaWiFS sensor) and OC3 (for MODIS), for 
                         chlorophyll-a estimative in the continental shelf off Santos (SP, 
                         Brazil). In situ phytoplankton pigments concentration (chlorophyll 
                         and carotenoids), colored dissolved organic matter (CDOM), and sea 
                         surface reflectance were acquired in 49 stations in October 2005 
                         and March 2006. Spectral reflectance measurements were averaged to 
                         simulate the bands from the satellite sensors, SeaWiFS and MODIS, 
                         allowing the assessment of global empirical algorithms. In situ 
                         chlorophyll concentration and chlorophyll concentration from 
                         algorithms were compared by regression analysis. The algorithms 
                         showed good performance (R2=0.74 for OC4V4, R2=0.7573 for OC2v4 
                         and R2= 0.7453 for OC3). The three algorithms underestimated 
                         chlorophyll concentration between 0 and 2 mg m-3, but a strong 
                         dependence of CDOM and carotenoids concentration was verified with 
                         the errors of estimates for all algorithms. Seasonal differences 
                         in the algorithms performances were also verified, related to 
                         local and seasonal variation in the concentration of CDOM, and the 
                         composition of phytoplankton communities Results indicate that a 
                         modified algorithm to consider these seasonal variations and the 
                         optical properties of CDOM and phytoplankton composition is 
                         required for the waters of Santos continental shelf.",
      accessionnumber = "0",
  conference-location = "Natal",
      conference-year = "25-30 abr. 2009",
                 isbn = "978-85-17-00044-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2008/11.17.17.24.57",
                  url = "http://urlib.net/rep/dpi.inpe.br/sbsr@80/2008/11.17.17.24.57",
           targetfile = "6415-6422.pdf",
                 type = "Oceanografia",
        urlaccessdate = "24 jan. 2021"
}


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