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		<isbn>85-17-00018-8</isbn>
		<citationkey>FidalgoBuen:2005:UsImAS</citationkey>
		<title>Uso de imagens ASTER para o mapeamento do uso e cobertura da terra na Bacia Hidrográfica do Rio São Domingos, RJ</title>
		<format>CD-ROM, On-line.</format>
		<year>2005</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>381 KiB</size>
		<author>Fidalgo, Elaine Cristina Cardoso,</author>
		<author>Bueno de Abreu, Marcelo,</author>
		<affiliation>Empresa Brasileira de Pesquisa Agropecuária - Embrapa Solos</affiliation>
		<affiliation>Universidade Federal do Rio de Janeiro (UFRJ). Instituto de Geociências.</affiliation>
		<editor>Epiphanio, José Carlos Neves,</editor>
		<editor>Fonseca, Leila Maria Garcia,</editor>
		<e-mailaddress>efidalgo@cnps.embrapa.br, buenodeabreu@yahoo.com.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 12 (SBSR)</conferencename>
		<conferencelocation>Goiânia</conferencelocation>
		<date>16-21 abr. 2005</date>
		<publisher>INPE</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>3747-3754</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigos</tertiarytype>
		<organization>Instituto Nacional de Pesquisas Espaciais</organization>
		<transferableflag>1</transferableflag>
		<keywords>remote sensing, ASTER image, land use, sensoriamento remoto, imagem ASTER, uso da terra.</keywords>
		<abstract>This work presents the use of VNIR and SWIR images of ASTER sensor to map land use and land cover of São Domingos river basin, RJ. To map the classes of interest, digital image processing techniques were applied, including Principal Components Analysis, segmentation and supervised region classification. The classification result was edited to correct errors observed in field. The methodology adopted allowed to map land use and land cover of the study area. The map accuracy analysis showed that the classification had a good performance for the whole map, but not for some classes like urban areas.</abstract>
		<area>SRE</area>
		<type>Planejamento Urbano e Regional</type>
		<language>Português</language>
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