@InProceedings{SantosSiBrLiEiKo:2007:UsImCB,
               author = "Santos, Ronaldo Medeiros dos and Silva, Eloy de Souza and Brito, 
                         Ronai Soares de and Lima, Jorge Enoch Furquim Werneck and Eid, 
                         Nabil Joseph and Koide, Sergio",
          affiliation = "{Universidade de Bras{\'{\i}}lia (UnB). Depto. Engenharia Civil 
                         e Ambiental.} and {Companhia de Desenvolvimento dos Vales do 
                         S{\~a}o Francisco e do Parna{\'{\i}}ba (CODEVASF)} and 
                         {Universidade Estadual de Montes Claros (Unimontes)} and 
                         {Universidade de Bras{\'{\i}}lia (UnB). Depto. Engenharia Civil 
                         e Ambiental. Embrapa Cerrados. CPAC.} and {Universidade de 
                         Bras{\'{\i}}lia (UnB). Depto. Engenharia Civil e Ambiental.} and 
                         {Universidade de Bras{\'{\i}}lia (UnB). Depto. Engenharia Civil 
                         e Ambiental.}",
                title = "Uso de imagens CBERS-2/CCD no mapeamento das {\'a}reas irrigadas 
                         e estimativa da demanda h{\'{\i}}drica bruta no projeto de 
                         irriga{\c{c}}{\~a}o Vale do Gorutuba, Jana{\'u}ba - MG",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "1095--1101",
         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 = "remote sensing, water resources, irrigated areas, agriculture, 
                         sensoriamento remoto, recursos h{\'{\i}}dricos, {\'a}reas 
                         irrigadas, agricultura.",
             abstract = "The present work had as objective the mapping of the irrigated 
                         areas, by means of remote sensing and the rough estimate of the 
                         gross water demand in the Valley of the Gorutuba Project of 
                         Irrigation, in Nova Porteirinha - MG. CBERS-2/CCD imagery was used 
                         (free access) and taken data of literature, beyond traditional 
                         techniques of classification of orbital images. The supervised 
                         classification based in the maximum likelihood was used, your 
                         outcomes indicated satisfactory performance (overall accuracy 86%, 
                         kappa 0.81%) in the classification of the features limited to the 
                         irrigation perimeter. The land use was estimated from each mapped 
                         class, from which it was gotten the irrigated area and, from 
                         values collected in literature, the rough estimate of annual 
                         average water demand for the study area. This study was the 
                         starting point to future works with the goal to supply data to 
                         better management of the water in the region.",
  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@80/2006/11.15.17.21",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.15.17.21",
           targetfile = "1095-1101.pdf",
                 type = "CBERS: Avalia{\c{c}}{\~a}o e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "2024, May 02"
}