@InProceedings{CremonMontBaye:2017:ViEsSe,
               author = "Cremon, Edipo Henrique and Montanher, Ot{\'a}vio Cristiano and 
                         Bayer, Maximiliano",
                title = "Viabilidade de estimativa de sedimentos suspensos com dados 
                         TM/Landsat-5 para o rio Araguaia",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "2948--2954",
         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 = "The aim of this study was to evaluate the feasibility of 
                         integrating TM/Landsat 5 data and in situ suspended sediment 
                         concentration (SSC) data to generate empirical models for 
                         estimating SSC in the Araguaia River. The results of this 
                         assessment show that only 7 out of 9 SSC gauging stations can be 
                         used. These stations shows 70 samples with almost simultaneous TM 
                         sensor data ranging from 4 to 260 mg/l. Statistical distribution 
                         of these samples is similar to the distribution of the entire 
                         sample set available for the Araguaia River. There would be an 
                         increase of about 607% of SSC samples by each gauging station in 
                         the database, if remote sensing models were implemented. The 
                         results showed feasibility to develop remote sensing SSC estimates 
                         based in enough concurrent TM/Landsat-5 data and in situ measures, 
                         which could be used to increase the SSC sample density of the 
                         Araguaia River. Thus, the next step of this research is the 
                         development and test of these empirical models.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59401",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSLRGP",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLRGP",
           targetfile = "59401.pdf",
                 type = "{\'A}reas {\'u}midas e {\'a}guas interiores",
        urlaccessdate = "27 abr. 2024"
}