@InProceedings{PazCollTucc:2007:ExAuCo,
               author = "Paz, Adriano Rolim da and Collischonn, Walter and Tucci, Carlos 
                         Eduardo Morelli",
          affiliation = "{Universidade Federal do Rio Grande do Sul (UFRGS). Instituto de 
                         Pesquisas Hidr{\'a}ulicas (IPH).} and {Universidade Federal do 
                         Rio Grande do Sul (UFRGS). Instituto de Pesquisas Hidr{\'a}ulicas 
                         (IPH).} and {Universidade Federal do Rio Grande do Sul (UFRGS). 
                         Instituto de Pesquisas Hidr{\'a}ulicas (IPH).}",
                title = "Extra{\c{c}}{\~a}o autom{\'a}tica de comprimentos de trechos de 
                         rio a partir do Modelo Num{\'e}rico do Terreno para modelagem 
                         hidrol{\'o}gica distribu{\'{\i}}da",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "2985--2992",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 13. (SBSR).",
            publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "river length, river drainage network, digital elevation model, 
                         comprimento de rios, rede de drenagem, modelo num{\'e}rico do 
                         terreno.",
             abstract = "Large-scale hydrologic modeling often requires a great number of 
                         input data, including Digital Elevation Model (DEM), drainage 
                         network, accumulated drainage area and slope and length of river 
                         reaches. The last two input data are useful to flow routing 
                         between model grid cells. Due to increase in remote sensing data 
                         availability, effortless of geoprocessing methods and large scale 
                         of the modeled area, the employment of algorithms to automatically 
                         extract and prepare input data to hydrologic modeling becomes even 
                         more recommended. This paper presents a methodology to 
                         automatically derive length of river reaches, using as input data 
                         a DEM with resolution higher than hydrological model cells. 
                         Application of such methodology to Uruguay river basin (206.000 
                         km2) is presented, and the results are analysed comparing with 
                         drainage network digitized from satellite images. Acceptable 
                         results were achieved and showed the suitability of proposed 
                         method.",
  conference-location = "Florian{\'o}polis",
      conference-year = "21-26 abr. 2007",
                 isbn = "978-85-17-00031-7",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
                  ibi = "dpi.inpe.br/sbsr@80/2006/11.03.22.41",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.03.22.41",
           targetfile = "2985-2992.pdf",
                 type = "Geoprocessamento: Aplica{\c{c}}{\~o}es e Modelagem Ambiental",
        urlaccessdate = "17 maio 2024"
}