@InProceedings{FerreiraBaMaCaJoSi:2017:ApSeMS,
               author = "Ferreira, Renato Martins Passos and Barbosa, Cl{\'a}udio Clemente 
                         Faria and Martins, Vitor Souza and Carvalho, Lino Augusto Sander 
                         de and Jorge, Daniel Schaffer Ferreira and Silva, Maria Paula",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and {} 
                         and {} and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Aplica{\c{c}}{\~a}o do sensor MSI/Sentinel-2 na estimativa de 
                         componentes oticamente ativos em lagos de plan{\'{\i}}cie de 
                         inunda{\c{c}}{\~a}o amaz{\^o}nica",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "3687--3694",
         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 = "Remote sensing of inland waters relies on the retrieval of 
                         optically active constituent concentration using reflectance as 
                         input to different types of algorithms. Global carbon cycle, 
                         sediment budgets, phytoplankton primary production and water 
                         quality are among processes that can be evaluated using remote 
                         sensing imagery. Thus, Sentinel-2 MSI (Multispectral Instrument) 
                         launch increased the possibilities for mapping and monitoring 
                         aquatic environments due to high spectral, spatial and radiometric 
                         resolutions. This work tested six established algorithms for 
                         estimating absorption by colored dissolved organic matter and 
                         concentration of total suspended solids and chlorophyll-a in an 
                         Amazonian floodplain lake (Curuai). Fieldwork data was used to 
                         simulate the MSI reflectance and to adjust regression models. 
                         Based on these models, a MSI image was applied to spatialize 
                         optically active constituent distribution over Curuai lake. Small 
                         range of constituent concentration and low signal level represent 
                         a huge challenge for CDOM retrieval in Amazon turbid waters, as 
                         shown by low determination coefficient (< 0.45) and high relative 
                         error (> 10%) provided by models. The adjustment of chlorophyll 
                         model showed a high correlation between in-situ and satellite 
                         observations (Rē > 0.86), although larger errors were assessed in 
                         low chlorophyll concentration. Results were more robust for TSS 
                         retrieval, as expected in very turbid waters with wide range of 
                         concentration values. Lower accuracy was observed when models were 
                         applied to MSI image due to higher remote sensing reflectance 
                         values, therefore resulting in an overestimation of TSS and Chl-a 
                         concentration.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59910",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLTD4",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLTD4",
           targetfile = "59910.pdf",
                 type = "{\'A}reas {\'u}midas e {\'a}guas interiores",
        urlaccessdate = "27 abr. 2024"
}