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		<label>7531</label>
		<isbn>85-17-00014-5</isbn>
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		<citationkey>MertesNoDaShRiKr:1996:ClRiSo</citationkey>
		<author>Mertes, Leal A. K.,</author>
		<author>Novo, Evlyn Márcia Leão de Moraes,</author>
		<author>Daniel, Darin L.,</author>
		<author>Shimabukuro, Yosio Edmir,</author>
		<author>Richey, Jeffrey E.,</author>
		<author>Krug, Thelma,</author>
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		<affiliation>University of California. Santa Barbara. Department of Geography.</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>University of California. Santa Barbara. Department of Geography.</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>University of Washington</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress>evlyn@dsr.inpe.br</electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress>yosio@ltid.inpe.br</electronicmailaddress>
		<electronicmailaddress></electronicmailaddress>
		<electronicmailaddress>thelma@dir.iai.int</electronicmailaddress>
		<title>Classification of rios Solimões-Amazonas wetlands through application of spectral mixture analysis to Landsat Thematic Mapper data</title>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 8 (SBSR).</conferencename>
		<year>1996</year>
		<editor>Krug, Thelma,</editor>
		<booktitle>Anais</booktitle>
		<date>14-19 abr. 1996</date>
		<publisheraddress>São José dos Campos</publisheraddress>
		<publisher>INPE</publisher>
		<conferencelocation>Salvador</conferencelocation>
		<keywords>RIO SOLIMOES (AMAZONAS), METODOLOGIA, MAPEADOR TEMATICO (LANDSAT), MOSAICO, ANALISE ESPECTRAL.</keywords>
		<abstract>This paper describes a methodology proposed for producing a digital mosaic of Solimoes-Amazonas Wetlands through the application of spectral mixture analysis to Landsat Thematic Mapper Data. The proposed methodology includes the following steps: georeferencing, calibration to surface reflectance, spectral mixture analysis, classification of fraction data, quality control through digital and visual review, accuracy assesment using visually interpreted and ground data, and addition to the mosaic.</abstract>
		<pages>199-204</pages>
		<organization>Instituto Nacional de Pesquisas Espaciais</organization>
		<language>En</language>
		<type>Análise Ambiental</type>
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		<secondarydate>19970610</secondarydate>
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