@InProceedings{PereiraBatiRobe:1998:ClCoTe,
               author = "Pereira, Jorge Luis Gavina and Batista, Getulio Teixeira and 
                         Roberts, Dar A.",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {University of 
                         California (UCSB). Department of Geography.}",
                title = "Classifica{\c{c}}{\~a}o da cobertura da terra na regi{\~a}o 
                         amaz{\^o}nica atrav{\'e}s de classifica{\c{c}}{\~a}o de 
                         regi{\~o}es em imagens de propor{\c{c}}{\~a}o de componentes",
            booktitle = "Anais...",
                 year = "1998",
               editor = "Krug, Thelma and Rudorff, Bernardo Friedrich Theodor and Freitas, 
                         Ubirajara Moura de",
                pages = "1483--1494",
         organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 9. (SBSR).",
            publisher = "INPE",
              address = "S{\~a}o Jos{\'e} dos Campos",
             keywords = "VEGETACAO, FLORESTA AMAZONICA, USO DA TERRA, COBERTURA VEGETAL, 
                         MODELO DE MISTURA ESPECTRAL, SEGMENTACAO, CLASSIFICACAO.",
             abstract = "The Amazon rain forest plays an important role in the global 
                         climate. The dynamics of land use and cover change (LUCC)has a 
                         major impact on the global carbon and water cycles. However, 
                         current figures on carbon budgest associated with LUCC are not 
                         well known for the Amazon, except for annual total deforested 
                         area. Remote sensing associated with geographic information 
                         systems has the potential to improve the estimates of the areal 
                         extent of the different cover classes and therefore, improve the 
                         knowledge about carbon stocks. This paper classifies land covers 
                         of region in Eastern Amazon using a supervised classification 
                         algorithm applied to regions obtained by segmentation of fraction 
                         images derived from Landsat TM sensor. It was found that 61 of the 
                         study area (2.000 km2)is in forest, 37 is deforested and the 
                         remaining area (2) is dominated by babacu and water bodies. 
                         Primarily pasture (80) and secondary growth forest of different 
                         ages (20) composed the deforested area.",
  conference-location = "Santos",
      conference-year = "11-18 set. 1998",
                 isbn = "85-17-00015-3",
                label = "8232",
             language = "Pt",
         organisation = "Instituto Nacional de Pesquisas Espaciais",
                  ibi = "sid.inpe.br/deise/1999/02.11.10.38",
                  url = "http://urlib.net/ibi/sid.inpe.br/deise/1999/02.11.10.38",
           targetfile = "2_130p.pdf",
                 type = "Vegeta{\c{c}}{\~a}o",
        urlaccessdate = "10 maio 2024"
}