@InProceedings{MouraCunTerBesCas:2017:InDiFo,
               author = "Moura, Ma{\'{\i}}ra Martim de and Cunha, Zandra Almeida da and 
                         Terra, Fabr{\'{\i}}cio Silva and Beskow, Samuel and Cassalho, 
                         Fel{\'{\i}}cio",
                title = "Influ{\^e}ncia de diferentes fontes e escalas de 
                         informa{\c{c}}{\~a}o do relevo na caracteriza{\c{c}}{\~a}o de 
                         bacias hidrogr{\'a}ficas",
            booktitle = "Anais...",
                 year = "2017",
               editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz 
                         Eduardo Oliveira e Cruz de",
                pages = "5575--5582",
         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 = "Delineating watersheds is the first and most important step in 
                         most of hydrological analyses. This procedure is usually based on 
                         Digital Elevation Model (DEM). In Brazil, DEMs are generally 
                         derived from contour lines and elevation points. However, because 
                         of their scale, especially for more detailed analysis, remote 
                         sensing data sets have been used. Among them, data sets from 
                         Shuttle Radar Topography Mission (SRTM), ASTER satellite, and 
                         TOPODATA database can be highlighted. Considering that 
                         hydrological models strongly depend on reliable watershed 
                         topographical characteristics, the present study aimed to evaluate 
                         the effect of DEMs obtained from different sources and their 
                         respective spatial resolution over both automatic watershed 
                         delineation and identification of drainage network. Therefore, 
                         five watersheds located in the states of Rio Grande do Sul and 
                         Minas Gerais were taken as reference for all the analyses. The 
                         automatic watershed delineation, the derivation of the drainage 
                         network, and the watershed physiographic characterization, e.g. 
                         drainage area, perimeter, maximum and minimum altitude, flow 
                         direction, and mean slope, were conducted with the aid of ArcGIS. 
                         Based on the results obtained in the present study, it was 
                         concluded that in general: i) the TOPODATA DEMs presented better 
                         precision for greater altitudes, ii) DEMs from ASTER resulted in 
                         overestimation of the drainage network total length, iii) slope 
                         varied significantly at the watershed scale, and iv) DEMs derived 
                         from the SRTM 90m were not able to properly reproduce the 
                         physiographic characteristics of smaller watersheds due to their 
                         low spatial resolution and accuracy.",
  conference-location = "Santos",
      conference-year = "28-31 maio 2017",
                 isbn = "978-85-17-00088-1",
                label = "59843",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "8JMKD3MGP6W34M/3PSMBBQ",
                  url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSMBBQ",
           targetfile = "59843.pdf",
                 type = "Modelagem espacial",
        urlaccessdate = "27 abr. 2024"
}