@InProceedings{ValérioKampGaet:2015:EsAn,
               author = "Val{\'e}rio, Larissa and Kampel, Milton and Gaeta, Salvador 
                         Airton",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "An{\'a}lise comparativa da concentra{\c{c}}{\~a}o de 
                         clorofila-a estimada pelo sensor MODIS-Aqua e medidas in situ no 
                         litoral norte de S{\~a}o Paulo: Esta{\c{c}}{\~a}o 
                         Antares-Ubatuba",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5530--5537",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             abstract = "Ocean-color products from remote sensing have become fundamental 
                         measurements to understand and model climate, biogeochemical and 
                         physical changes on oceans surface in a long-term perspective. 
                         However the accuracy of the remote sensing measurements depend on 
                         reliably, truthful and accurate in situ measures to calibrate and 
                         validate ocean color algorithms. Regarding coastal waters, this 
                         accuracy can be compromised, since there are external sources of 
                         variability of the main optical active constituents of the water. 
                         The Antares network was created with the objective of monitor and 
                         detect long-term changes on coastal waters around Latin America, 
                         with the main approach of developing time series of in situ 
                         oceanographic measurements to integrate with remote sensing ones. 
                         Thus, bio-optical algorithms for ocean-colour estimates can be 
                         improved regionally. This paper describes the comparison exercise 
                         for the chlorophyll-a concentration collected monthly from 2006 to 
                         2012 at the Antares Station in Ubatuba, Brazil and its comparison 
                         with MODIS-Aqua daily products. When in situ and satellite data 
                         were taken exactly on the same day, the dispersion was low (R2 
                         0,02) because of the limited number of samples available. 
                         Otherwise when satellite data was taken on an interval of more or 
                         less one day from the in situ sampling, there was higher 
                         dispersion (R2 0,40) because of the larger number of samples and 
                         on both cases no average significant differences were observed. 
                         Thus we can conclude that MODIS-Aqua default algorithm for 
                         chlorophyll-a estimation is performing quite accurate at the 
                         Antares-Ubatuba Station, north shore of S{\~a}o Paulo, Brazil. 
                         However, a more robust database is requested for better 
                         quantifying this accuracy.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "1109",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4EBG",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4EBG",
           targetfile = "p1109.pdf",
                 type = "Oceanografia",
        urlaccessdate = "27 abr. 2024"
}