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		<citationkey>PereiraBatiRobe:1997:CaCoVe</citationkey>
		<title>Caracterizacao da cobertura vegetal e uso da terra na Amazonia imagens de proporcao de componentes derivadas de imagens TM Landsat</title>
		<year>1997</year>
		<secondarytype>PRE CI</secondarytype>
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		<author>Pereira, Jorge Luis Glavina,</author>
		<author>Batista, Getulio Teixeira,</author>
		<author>Roberts, Dar A,</author>
		<group>DSR-INPE-MCT-BR</group>
		<group>DSR-INPE-MCT-BR</group>
		<affiliation></affiliation>
		<affiliation></affiliation>
		<affiliation>Depto. de Geografia — Universidade da Califórnia, Santa Barbara, CA, EUA.</affiliation>
		<conferencename>Simpósio Latino-Americano de Percepcion Remota, 8.</conferencename>
		<conferencelocation>Merida, VE</conferencelocation>
		<date>02-07 nov. 1997</date>
		<organization>SELPER</organization>
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		<contenttype>External Contribution</contenttype>
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		<keywords>AGRONOMIA, MARABA (PA)Amazônia (Região), MAPEADOR TEMATICO (LANDSAT), IMAGENS LANDSAT, SATELITES LANDSAT, COBERTURA VEGETAL, USO DA TERRA, AGRICULTURA, FLORESTA TROPICAL, BABACU, CAPOEIRA, COMPORTAMENTO ESPECTRAL, FLORESTAS, MISTURAS, MODELO.</keywords>
		<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).</abstract>
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		<language>pt</language>
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