@InProceedings{VibransPellRefo:2005:CoFlBa,
               author = "Vibrans, Alexander Christian and Pellerin, Joel and Refosco, 
                         J{\'u}lio C{\'e}sar",
          affiliation = "{Universidade Regional de Blumenau - FURB} and {Universidade 
                         Federal de Santa Catarina - UFSC} and {Universidade Regional de 
                         Blumenau - FURB}",
                title = "A cobertura florestal da Bacia do Rio Itaja{\'{\i}} em Santa 
                         Catarina",
            booktitle = "Anais...",
                 year = "2005",
               editor = "Epiphanio, Jos{\'e} Carlos Neves and Fonseca, Leila Maria 
                         Garcia",
                pages = "1691--1698",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 12. (SBSR)",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "remote sensing, image processing, secondary forests, sensoriamento 
                         remoto, processamento de imagens, florestas secund{\'a}rias.",
             abstract = "This paper focuses on land use and forest cover analysis in 
                         Itaja{\'{\i}} river basin, in southern Brazilian Santa Catarina 
                         state, comparing the results of supervised classification with 
                         those of visual interpretation of Landsat data. Analysis shows 
                         that visual interpretation frequently cannot distinguish early and 
                         intermediate regrowth stages of secondary vegetation from 
                         cultivated land. On the other hand, both methods achieve exactly 
                         the same results of advanced stages of secondary forests and 
                         primary ones. The basin of 15,000 kmē has about 54% of secondary 
                         and primary forests in 2000, according to both methods; cultivated 
                         lands including afforestations are estimated in 25% by 
                         classification and 41% by visual interpretation. Early and medium 
                         regrowth stage areas achieve 13% and 0,3% respectively. In a 
                         regional scale, supervised classification seams to be more 
                         adequate for forest cover mapping than visual image 
                         interpretation.",
  conference-location = "Goi{\^a}nia",
      conference-year = "16-21 abr. 2005",
                 isbn = "85-17-00018-8",
             language = "pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "ltid.inpe.br/sbsr/2004/10.21.15.05",
                  url = "http://urlib.net/ibi/ltid.inpe.br/sbsr/2004/10.21.15.05",
           targetfile = "1691.pdf",
                 type = "Floresta",
        urlaccessdate = "12 maio 2024"
}