@InProceedings{AraújoFoMeneSano:2007:PrSiHi,
               author = "Ara{\'u}jo Filho, Milton da Costa and Meneses, Paulo Roberto and 
                         Sano, Edson Eyji",
          affiliation = "{Universidade de Bras{\'{\i}}lia – UnB} and {Universidade de 
                         Bras{\'{\i}}lia – UnB} and {Empresa Brasileira de Pesquisa 
                         Agropecu{\'a}ria - Embrapa}",
                title = "Proposta de um sistema hier{\'a}rquico de 
                         classifica{\c{c}}{\~a}o de cobertura da terra baseado na 
                         an{\'a}lise de imagens de sat{\'e}lite",
            booktitle = "Anais...",
                 year = "2007",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio 
                         Soares and Fonseca, Leila Maria Garcia",
                pages = "2291--2298",
         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 = "cobertura da terra, sensoriamento remoto, Landsat, sistema de 
                         classifica{\c{c}}{\~a}o.",
             abstract = "Land cover maps are essential to conduct programs of environmental 
                         monitoring, biodiversity conservation and land occupation. In 
                         Brazil, there are no specific rules to guide the development of 
                         such maps. consequently, there is a tendency of each institution 
                         to create its own system to attend its specific needs. This study 
                         presents a new land cover classification system based on a single 
                         date, multispectral Landsat image and suitable for scales varying 
                         from 1.1,000,000 to 1:100,000. Visual image interpretation and 
                         field inspection allowed the identification of four spectral land 
                         cover classes at the 1:1,000,000 scale: water bodies, natural 
                         vegetation covers, planted vegetation covers, constructed surfaces 
                         and others. At the 1:500,000, 1:250,000 and 1:100,000 scales, 
                         these classes were splited into 10, 19 and 22 subclasses, 
                         respectively. Results showed that the Landsat imagery is useful 
                         for land cover mapping proposals in the exploratory, surveying and 
                         semidetailed levels.",
  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@80/2006/11.16.12.47",
                  url = "http://urlib.net/ibi/dpi.inpe.br/sbsr@80/2006/11.16.12.47",
           targetfile = "2291-2298.pdf",
                 type = "Geoprocessamento: Aplica{\c{c}}{\~o}es e Modelagem Ambiental",
        urlaccessdate = "13 maio 2024"
}