@InProceedings{BrędaPaiv:2017:RePrRi,
               author = "Br{\^e}da, Jo{\~a}o Paulo Lyra Fialho and Paiva, Rodrigo Cauduro 
                         Dias",
                title = "Uso da altimetria espacial para corre{\c{c}}{\~a}o da cota de 
                         fundo de um modelo hidr{\'a}ulico. Resultados Preliminares no rio 
                         Madeira",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "1004--1011",
         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 = "River bottom level is an important parameter of a hydraulic model; 
                         however, this information is frequently not available. As an 
                         alternative to in situ measurements, methods based on remote 
                         sensing and geomorphologic equations are used to estimate river 
                         bottom level, despite of theirs significant errors. Therefore this 
                         paper suggests a simplified method to calibrate this model 
                         parameter using altimetry measurements of the Envisat satellite. 
                         The hydraulic model used for this test is adapted from Bates et 
                         al. (2010), called in the literature as inertial model, using a 
                         rectangular shaped cross section where the width is estimated by 
                         Landsat images. The calibration method is basically a spatial 
                         interpolation of the difference between simulated water levels and 
                         altimetry measurements. This preliminary test was taken in Madeira 
                         river, a 1.3 million km˛ basin affluent of the Amazon. The 
                         calibrated model results outperform the non-calibrated results 
                         regarding bias and mean squared error (MSE) as well. Yet, the 
                         modeled water elevation had shown higher amplitude compared to 
                         local measurements irrespective of the bottom level set. This fact 
                         indicates that the model formulation is too simplified for this 
                         system, so the model still need to be improved either by taking 
                         floodplains or variable channel form into account or calibrating 
                         other parameters as well.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "60056",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PS4G24",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PS4G24",
           targetfile = "60056.pdf",
                 type = "Hidrologia",
        urlaccessdate = "27 abr. 2024"
}