@InProceedings{MoreiraRuhoCorrPaiv:2017:EsBaHí,
               author = "Moreira, Adriana Aparecida and Ruhoff, Anderson Luis and 
                         Corr{\^e}a, Dairan Severo and Paiva, Rodrigo Cauduro Dias",
                title = "Estimativa de Balan{\c{c}}o H{\'{\i}}drico por meio de dados 
                         multi-sensores",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5804--5811",
         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 study aimed to use remote sensing data of different missions, 
                         to estimate the waterbalance in four drainage areas, delimitated 
                         from flow measuring stations, in different basins in 
                         Brazil.Through the results it was possible to verify that three 
                         out of the four areas; in the Amazonas, Tocantinsand S{\~a}o 
                         Francisco basins; significant results were verified between the 
                         terms of the water balance dS/dTand (P-ET-Q). In these areas, 
                         correlation coefficients (r) ranged, from 0.77 to 0.90; and 
                         determination(R2), from 0.60 to 0.83. In Tocantins basin, the flow 
                         measuring station Ira{\'{\i}}, which has the smallestarea, was 
                         where they obtained the worst estimates. The evapotranspiration, 
                         for all drainage areas,was the component that presented the worst 
                         estimates, primarily to the areas of the Amazonas andUruguai 
                         basins. In Tocantins and S{\~a}o Francisco basins areas, it was 
                         observed a highly seasonalbehavior of all variables for both 
                         areas. In addition, it was noted a relation between the 
                         precipitationand evapotranspiration dynamics with the water 
                         storage. Finally, despite the differences; of missions,spatial and 
                         temporal resolutions; the remote sensing data, applied to the 
                         water balance estimates, hasshown satisfactory results especially 
                         for large areas, presenting itself as a promising alternative 
                         abouthydrological studies.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59797",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMBNP",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMBNP",
           targetfile = "59797.pdf",
                 type = "Hidrologia",
        urlaccessdate = "27 abr. 2024"
}