@InProceedings{MarinhoDuaiFili:2017:InAmCo,
               author = "Marinho, Rog{\'e}rio Ribeiro and Duailibe, Nayara Soares and 
                         Filizola Junior, Naziano Pantoja",
                title = "Influ{\^e}ncia da amostragem na constru{\c{c}}{\~a}o de 
                         superf{\'{\i}}cie batim{\'e}trica de grandes rios ? estudo de 
                         caso no Baixo Rio Negro - AM",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1416--1423",
         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 = "This article investigates the representation of Negro River 
                         morphology near to Manaus city (Brazil) using bathymetric data 
                         acquired by an acoustic Doppler device with a GPS system in a 25 
                         km2 of water surface area. Geostatistical analysis methods were 
                         used to produce bathymetric maps in different sampling designs. 
                         The results in this study area indicated a average depth of 23.19 
                         meters and amplitude up to 51.64 meters for the different sampling 
                         designs. Cross-validation was performed using Root mean square 
                         error (RMSE) to analyze the influence of sampling design in the 
                         depths estimative. Data evaluated with spacing profiles ranging 
                         from 100 to 500 meters showed RMSE varying from 1.01 to 2.21 
                         meters. These results indicate that the methodology used in this 
                         article can be an alternative in collection and processing 
                         bathymetric data for Amazon large rivers.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59648",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4GLM",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4GLM",
           targetfile = "59648.pdf",
                 type = "Recursos h{\'{\i}}dricos",
        urlaccessdate = "27 abr. 2024"
}