%0 Conference Proceedings
%4 ltid.inpe.br/sbsr/2004/11.18.17.30
%2 ltid.inpe.br/sbsr/2004/11.18.17.30.29
%@isbn 85-17-00018-8
%T Estimativa por satélite da concentração de clorofila a superficial na costa sudeste brasileira, região oeste do Atlântico Sul: comparação dos algoritmos SeaWiFS
%D 2005
%A Kampel, Milton,
%A Gaeta, Salvador Airton,
%A Lorenzzetti, João Antônio,
%A Pompeu, Mayza,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Oceanográfico da Universidade de São Paulo - IOUSP
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Oceanográfico da Universidade de São Paulo - IOUSP
%@electronicmailaddress milton@dsr.inpe.br
%@electronicmailaddress
%@electronicmailaddress loren@dsr.inpe.br
%E Epiphanio, José Carlos Neves,
%E Fonseca, Leila Maria Garcia,
%B Simpósio Brasileiro de Sensoriamento Remoto, 12 (SBSR)
%C Goiânia
%8 16-21 abr. 2005
%I INPE
%J São José dos Campos
%P 3633-3642
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais
%K phytoplankton biomass, chlorophyll a concentration, remote sensing, ocean colour, SeaWiFS, SW Atlantic, biomassa fitoplanctônica, concentração de clorofila a, sensoriamento remoto, cor do oceano, SeaWiFS, Atlântico Sudoeste.
%X 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).
%9 Oceanografia
%@language Português
%3 3633.pdf