@InProceedings{KampelGaetLorePomp:2005:CoAlSe,
               author = "Kampel, Milton and Gaeta, Salvador Airton and Lorenzzetti, 
                         Jo{\~a}o Ant{\^o}nio and Pompeu, Mayza",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Oceanogr{\'a}fico da Universidade de S{\~a}o Paulo - IOUSP} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Oceanogr{\'a}fico da Universidade de S{\~a}o Paulo - IOUSP}",
                title = "Estimativa por sat{\'e}lite da concentra{\c{c}}{\~a}o de 
                         clorofila a superficial na costa sudeste brasileira, regi{\~a}o 
                         oeste do Atl{\^a}ntico Sul: compara{\c{c}}{\~a}o dos algoritmos 
                         SeaWiFS",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "3633--3642",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "phytoplankton biomass, chlorophyll a concentration, remote 
                         sensing, ocean colour, SeaWiFS, SW Atlantic, biomassa 
                         fitoplanct{\^o}nica, concentra{\c{c}}{\~a}o de clorofila a, 
                         sensoriamento remoto, cor do oceano, SeaWiFS, Atl{\^a}ntico 
                         Sudoeste.",
             abstract = "Comparisons between in situ measurements of surface chlorophyll a 
                         concentration and ocean colour remote sensing (SeaWiFS) estimates 
                         were conducted in the Brazilian Southeast coast, Southwestern 
                         South Atlantic. In situ data were acquired from 4 seasonal 
                         hydrographic cruises carried out during the summer and winter of 
                         2001 and 2002. Four algorithms were used to estimate chlorophyll 
                         concentrations: 2 empirical - OC4 and OC2; 1 semi-analytical - 
                         GSM01; and 1 based on neural network - NN. Chlorophyll 
                         concentration was fairly well estimated by all the SeaWiFS 
                         algorithms. The OC4 algorithm performed better (R2 = 0.71; rms = 
                         0.22) then the other chlorophyll retrieval algorithms. The OC2 
                         algorithm also showed a good performance with R2 = 0.67 and rms = 
                         0.23. The neural network algorithm performed better than the 
                         semi-analytical one (R2 = 0.62 and 0.55, respectively), but with a 
                         higher rms (0.34 and 0.2, respectively).",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "Portugu{\^e}s",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/11.18.17.30",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/11.18.17.30",
           targetfile = "3633.pdf",
                 type = "Oceanografia",
        urlaccessdate = "13 maio 2024"
}