@InProceedings{BonattoMartBarr:2007:UsGeCl,
               author = "Bonatto, Frederico and Martins, Alan Kardec Elias and Barros, 
                         Emmanuel Kirlian Evangelista",
          affiliation = "{Universidade Federal do Tocantins (UFT). Engenharia Ambiental.} 
                         and {Funda{\c{c}}{\~a}o Universidade do Tocantins (UNITINS)} and 
                         {Universidade Federal do Tocantins (UFT). Engenharia Ambiental.}",
                title = "Uso de geotecnologia para a classifica{\c{c}}{\~a}o de pastagens 
                         em diferentes n{\'{\i}}veis de degrada{\c{c}}{\~a}o da Bacia 
                         do Ribeir{\~a}o Matan{\c{c}}a localizada no Munic{\'{\i}}pio 
                         de Pium - TO",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "791--798",
         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 = "Image processing, mapping, pastures, Mapeamento, pastagem, 
                         processamento de imagem.",
             abstract = "The present work has for objective to qualitying and quantitying 
                         pastures degraded in the basin of the Ribeir{\~a}o Matan{\c{c}}a 
                         located in the city of Pium TO, becoming use of the techniques of 
                         the geotechnologies. Through the Cbers image with the methodology 
                         of the visual classification by means of applicatory use SPRING 
                         4.2 the use map became of which the classroom pasture had the 
                         biggest area and in the following stage the map of degradation of 
                         the pastures in three different levels was gotten. The predominant 
                         level was the 2 representing 51.47% of the pasture area. In the 
                         reached results, new perspectives for future works confide, using 
                         different e regions situations, contributing for the development 
                         of the digital processing of the images.",
  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@80/2006/11.15.22.01.04",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.15.22.01.04",
           targetfile = "791-798.pdf",
                 type = "CBERS: Avalia{\c{c}}{\~a}o e Aplica{\c{c}}{\~o}es",
        urlaccessdate = "04 jun. 2024"
}