@InProceedings{SantosKamp:2017:AsOcCo,
               author = "Santos, Jo{\~a}o Felipe Cardoso dos and Kampel, Milton",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Assessment of ocean colour remote sensing photosynthetically 
                         available radiation in the Southeastern Brazilian margin",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3491--3498",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Photosynthetically available radiation (PAR) comprises the 
                         integrated irradiance between 400700 nm which reaches the sea 
                         surface. Its importance in the marine environment is directly 
                         related to primary productivity, which uses light in the 
                         atmospheric carbon assimilation reactions. The algorithm for 
                         estimating PAR with Sea-viewing Wide Field-of-View Sensor 
                         (SeaWiFS) data was evaluated in relation to in situ measurements 
                         during the summer and winter of 2001 and 2002. Estimates showed a 
                         mean RMSE of ~1.77 Einstein m-2 d-1 and bias ~1.63 Einstein m-2 
                         d-1 for the complete dataset (summer + winter). A generalized 
                         linear model (GLM) was applied to the complete dataset decreasing 
                         the RMSE values for < 0.7 Einstein m-2 d-1 and bias approaching 
                         zero. PAR estimates with SeaWiFS, MODerate Imaging 
                         Spectroradiometer (MODIS-Aqua) and MEdium Resolution Imaging 
                         Spectrometer (MERIS) data were also compared during the winter of 
                         2002. All three satellite estimates overestimated the in situ 
                         measurements with a bias of ~1.5 Einstein m-2 d-1. Statistical 
                         analyzes (RMSE, bias and r2) indicated a systematic error 
                         corrected by GLM. After the adjustments, the estimates showed 
                         values of bias close to zero and lower RMSE. The best performance 
                         was observed with MODIS-Aqua data followed by SeaWiFS and MERIS, 
                         consecutively. In general, the estimations of PAR showed a good 
                         correlation with the in situ measurements and the linear 
                         adjustments corrected the observed systematic error making 
                         possible its application to other ocean colour sensors in 
                         operation.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59598",
             language = "en",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLT3L",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLT3L",
           targetfile = "59598.pdf",
                 type = "Oceanografia e sistemas costeiros",
        urlaccessdate = "27 abr. 2024"
}