@InProceedings{BordinSilvGarcMach:2017:AvPeAl,
               author = "Bordin, Lu{\'{\i}}s Henrique and Silva, Gabriel Serrato de 
                         Mendon{\c{c}}a and Garcia, Carlos Eira and Machado, Eunice da 
                         Costa",
                title = "Avalia{\c{c}}{\~a}o da performance do algoritmo para a 
                         determina{\c{c}}{\~a}o das concentra{\c{c}}{\~o}es de Carbono 
                         Org{\^a}nico Particulado atrav{\'e}s de sensoriamento remoto em 
                         {\'a}reas costeira e oce{\^a}nica no Oceano Atl{\^a}ntico 
                         Sudoeste",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "4367--4373",
         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 = "To understand the influence of ocean in carbon biogeochemical 
                         cycle and their consequences in global climate changes advances of 
                         ocean-color satellite mission has progressed beyond the estimation 
                         of chlorophyll-a concentrations. One of recent products provided 
                         by NASA is particulate organic carbon (POC) concentration. To 
                         evaluate the performance of standard NASA POC algorithm (Stramski 
                         et al. 2008) in coastal and oceanic areas of the Southwestern 
                         Atlantic Ocean, comparisons of simultaneous in situ and satellite 
                         POC determinations were carried out in this paper. The results 
                         indicate that the POC algorithm overestimate in situ data. 
                         Nevertheless, the algorithm proved to be satisfactory in estimate 
                         POC concentrations, both in coastal and oceanic areas, moreover, 
                         to be an important tool to investigate the spatial and temporal 
                         variability of POC in the global oceans. However, the necessity of 
                         increase the efforts in collect in situ data is unquestionable and 
                         essential to improve the results of algorithm validation 
                         processes.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59302",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSM2UE",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSM2UE",
           targetfile = "59302.pdf",
                 type = "Oceanografia e sistemas costeiros",
        urlaccessdate = "27 abr. 2024"
}