@InProceedings{SantosKamp:2015:CoVaTe,
               author = "Santos, Jo{\~a}o Felipe Cardoso dos and Kampel, Milton",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)}",
                title = "Compara{\c{c}}{\~a}o da variabilidade da temperatura da 
                         superf{\'{\i}}cie do mar estimada pelos sensores remotos 
                         AVHRR-NOAA e MODIS-AQUA nas esta{\c{c}}{\~o}es da rede Antares",
            booktitle = "Anais...",
                 year = "2015",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5826--5833",
         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 = "Sea surface temperature (SST) is the longest oceans time series 
                         product observed from space and have been measured by different 
                         sensor during this time. To merge their databases is necessary, 
                         primarily, fit the time series with some model and quantify the 
                         performance of this adjust. This article aims to compare the AVHRR 
                         and MODIS databases in order to use them like a single time 
                         series. This evaluation was inserted inside the Antares Network 
                         project, a net of time series stations around the South America 
                         and Caribbean coastal. SST daytime, nighttime and the mean values 
                         of these 11\μm band acquisitions showed low quality 
                         measurements in nighttime data while the mean between daytime and 
                         nighttime acquisitions had the better results. Was observed a 
                         positive offset from AVHRR data to MODIS data about 2°C that was 
                         corrected by the generalized linear model created to global and 
                         local adjusts. In general the local SSTs models had a better 
                         performance than global one. Stations located near the Equator had 
                         higher quality in the adjust while stations apart Equator had a 
                         higher quality in the correlation. This maybe cause by the 
                         amplitude and variance differences between these stations. This 
                         first approach to reach a comparison of SST time series suggest a 
                         linear regression like a good model to adjust the SST datas for 
                         the Antares users.",
  conference-location = "Jo{\~a}o Pessoa",
      conference-year = "25-29 abr. 2015",
                 isbn = "978-85-17-0076-8",
                label = "1196",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3JM4EM4",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4EM4",
           targetfile = "p1196.pdf",
                 type = "Oceanografia",
        urlaccessdate = "27 abr. 2024"
}