@InProceedings{PereiraBatiRobe:1997:CaCoVe,
               author = "Pereira, Jorge Luis Glavina and Batista, Getulio Teixeira and 
                         Roberts, Dar A",
          affiliation = "{} and {} and Depto. de Geografia — Universidade da 
                         Calif{\'o}rnia, Santa Barbara, CA, EUA.",
                title = "Caracterizacao da cobertura vegetal e uso da terra na Amazonia 
                         imagens de proporcao de componentes derivadas de imagens TM 
                         Landsat",
                 year = "1997",
         organization = "Simp{\'o}sio Latino-Americano de Percepcion Remota, 8.",
             keywords = "AGRONOMIA, MARABA (PA)Amaz{\^o}nia (Regi{\~a}o), MAPEADOR 
                         TEMATICO (LANDSAT), IMAGENS LANDSAT, SATELITES LANDSAT, COBERTURA 
                         VEGETAL, USO DA TERRA, AGRICULTURA, FLORESTA TROPICAL, BABACU, 
                         CAPOEIRA, COMPORTAMENTO ESPECTRAL, FLORESTAS, MISTURAS, MODELO.",
             abstract = "Land conversion of forest into agricultural use, especially for 
                         the establishment of pasture contributes significantly to the 
                         increasing of atmospheric C02 concentration. Secondary growth 
                         vegetation that is established after land abandonment tends to 
                         offset, in part, this effect. Landsat Thematic Mapper imagery is 
                         useful to monitor land use and cover change in the Amazon. 
                         However, the raw image data or even the pre-processed data 
                         transformed into reflectance data is of limited use due to the 
                         difficulty of interpretation of such varied land cover classes of 
                         interest in the'Amazon region. This work had the objective to 
                         characterize the several cover classes such: forest, forest with 
                         dominance of babaqu, secondary growth forest ({"}capoeiras{"})and 
                         several classes of pastures using the fractional images derived 
                         from Landsat TM images by using a linear spectral mixture analysis 
                         model taking into account four endmembers: green vegetation, 
                         nonphotosynthetic material, shade and soil. This model proved to 
                         be useful to separate several cover classes. Areas with dominance 
                         of babacu were characterized by high shade content (65.6), areas 
                         with vigorous pastures had high green vegetation proportions 
                         (60.8) and low proportions of nonphotosynthetic material (-1.4). 
                         Primary forests were distinguishing from secondary growth forest 
                         due to the shade proportions (55.4 vs. 38.6).",
  conference-location = "Merida, VE",
      conference-year = "02-07 nov. 1997",
                label = "8392",
             language = "pt",
         organisation = "SELPER",
           targetfile = "INPE 7070.pdf",
        urlaccessdate = "02 maio 2024"
}