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		<isbn>978-85-17-00044-7</isbn>
		<citationkey>PerrottaASBCSRB:2009:NoArAM</citationkey>
		<title>Geobotânica por sensoriamento remoto como ferramenta de mapeamento geológico em áreas de floresta amazônica, uma aplicação na região de Apuí - Nova Aripuanã (AM)</title>
		<format>DVD, On-line.</format>
		<year>2009</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>4200 KiB</size>
		<author>Perrotta, Mônica Mazzini,</author>
		<author>Almeida, Teodoro Isnard Ribeiro de,</author>
		<author>Souza Filho, Carlos Roberto de,</author>
		<author>Bahia, Ruy Benedito Calliari,</author>
		<author>Costa, Ulisses Antonio Pinheiro da,</author>
		<author>Splendor, Fabio,</author>
		<author>Reis, Nelson Joaquim,</author>
		<author>Betiollo, Leandro Menezes,</author>
		<affiliation>CPRM - Serviço Geológico do Brasil/DF</affiliation>
		<affiliation>Instituto de Geociências - USP/SP</affiliation>
		<affiliation>Instituto de Geociências - UNICAMP/SP</affiliation>
		<affiliation>CPRM - Serviço Geológico do Brasil/DF</affiliation>
		<affiliation>CPRM - Serviço Geológico do Brasil/DF</affiliation>
		<affiliation>CPRM - Serviço Geológico do Brasil/DF</affiliation>
		<affiliation>CPRM - Serviço Geológico do Brasil/DF</affiliation>
		<affiliation>CPRM - Serviço Geológico do Brasil/DF</affiliation>
		<electronicmailaddress>perrotta@sp.cprm.gov.br</electronicmailaddress>
		<electronicmailaddress>talmeida@usp.br</electronicmailaddress>
		<electronicmailaddress>beto@ige.unicamp.br</electronicmailaddress>
		<electronicmailaddress>ruybahia@pv.cprm.gov.br</electronicmailaddress>
		<electronicmailaddress>ucosta@ma.cprm.gov.br</electronicmailaddress>
		<electronicmailaddress>fsplendor@ma.cprm.gov.br</electronicmailaddress>
		<electronicmailaddress>reis@ma.cprm.gov.br</electronicmailaddress>
		<electronicmailaddress>lbetiollo@ma.cprm.gov.br</electronicmailaddress>
		<editor>Epiphanio, José Carlos Neves,</editor>
		<editor>Galvão, Lênio Soares,</editor>
		<e-mailaddress>perrotta@sp.cprm.gov.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 14 (SBSR)</conferencename>
		<conferencelocation>Natal</conferencelocation>
		<date>25-30 abr. 2009</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>3293-3300</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Artigo</tertiarytype>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<keywords>multispectral remote sensing, geobotany, geology, ASTER sensor, sensoriamento remoto multiespectral, geobotânica, geologia, floresta tropical, sensor ASTER.</keywords>
		<abstract>This paper evaluates a geobotany enhancement technique applied to multispectral VNIR and SWIR data from ASTER imagery. The aim is to map the geology of a virtually inaccessible area, covered by tropical rainforest, and for which no airborne geophysical data are available. The technique is based on the premise that the vegetation characteristics and distribution are influenced by the underlying bedrock, and its spectral response can reveal the lithologic arrangement. The technique is straightforward and comprises band ratios using a fixed near infrared band on the numerator and individual visible and shortwave infrared bands on the denominator. These band ratios were subsequently submitted to principal component analysis (PCA) in order to segregate noise, to decorrelate possible redundant information and to concentrate the information of interest into some specific principal components. The high frequency information produced was smoothed by low pass filtering. Statistical analysis of PCA results and visual check of the filtered components individually (and in false colour composites) allowed the selection of the best RGB triplets. These were sharpened by the first principal component of the original VNIR ASTER bands through an IHS transform, in order to add albedo/texture information - lost through band rationing - back to the imagery. The interpretation of the products shows a plausible coherence with field observations and existing small-scale maps, demonstrating that the proposed processing strategy can provide useful geologic information in inaccessible vegetated areas.</abstract>
		<area>SRE</area>
		<subject>Geologia</subject>
		<session>oral</session>
		<type>Geologia</type>
		<language>pt</language>
		<targetfile>3293-3300.pdf</targetfile>
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