@InProceedings{MacielFCCLCMBN:2019:MoSuSe,
               author = "Maciel, Daniel Andrade and Flores J{\'u}nior, Rog{\'e}rio and 
                         Cairo, Carolline Tressmann and Carvalho, Lino Augusto Sander de 
                         and Lobo, Felipe de L{\'u}cia and Carlos, Felipe Menino and 
                         Martins, Vitor Souza and Barbosa, Cl{\'a}udio Clemente Faria and 
                         Novo, Evlyn M{\'a}rcia Le{\~a}o de Moraes",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)} and {Universidade Federal do Rio de 
                         Janeiro (UFRJ)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Iowa State University (ISU)} and {Instituto Nacional de Pesquisas 
                         Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais 
                         (INPE)}",
                title = "Modeling suspended sediments in amazon foodplains using orbital 
                         moderate resolution sensors",
            booktitle = "Anais...",
                 year = "2019",
               editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco 
                         and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
                pages = "1492--1495",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "Curuai Lake, CBERS, Landsat, Sentinel, TSS.",
             abstract = "Remote sensing (RS) images can improve the knowledge on the 
                         exchanges of sediment between the main rivers and floodplains as 
                         it provides a synoptic view of water bodies, at local and regional 
                         scales. The monitoring of total suspended solids (TSS) is 
                         important because the proportion of organic to inorganic particles 
                         varies in time and space and is linked to biogeochemistry of 
                         floodplain environments. Moreover, this proportion maybe affected 
                         by climate change as well as land use and land cover change. In 
                         order to grasp the spatial distribution of suspended sediments in 
                         Amazon Floodplains lakes, we have applied Monte Carlo simulation 
                         for calibrating several empirical and semi-analytical algorithms 
                         to estimate TSS based on in-situ Rrs and TSS concentration 
                         measured between 2015-2017. Calibrated models were then applied to 
                         atmospheric corrected Landsat/8, Sentinel 2-A, and CBERS-4 scenes. 
                         The results showed that is possible to estimate TSS on the 
                         floodplains using these three satellites, with errors lower than 
                         30%.",
  conference-location = "Santos",
      conference-year = "14-17 abril 2019",
                 isbn = "978-85-17-00097-3",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3UA4FBH",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3UA4FBH",
           targetfile = "97883.pdf",
                 type = "Sensoriamento remoto de {\'a}guas interiores",
        urlaccessdate = "27 abr. 2024"
}