<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>marte2.sid.inpe.br 802</site>
		<holdercode>{isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}</holdercode>
		<identifier>8JMKD3MGP6W34M/3PSLQ2M</identifier>
		<repository>sid.inpe.br/marte2/2017/10.27.12.34.31</repository>
		<lastupdate>2017:10.27.12.34.31 dpi.inpe.br/marte2/2013/05.17.15.03.06 banon</lastupdate>
		<metadatarepository>sid.inpe.br/marte2/2017/10.27.12.34.32</metadatarepository>
		<metadatalastupdate>2018:06.06.03.04.56 dpi.inpe.br/marte2/2013/05.17.15.03.06 administrator {D 2017}</metadatalastupdate>
		<isbn>978-85-17-00088-1</isbn>
		<label>59785</label>
		<citationkey>RiosLeitRochSilv:2017:InDaGe</citationkey>
		<title>Integração de dados geofísicos e de sensores remotos aplicada ao mapeamento de óxido de ferro no Vale do Rio Curaçá, Bahia-Brasil</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>1067 KiB</size>
		<author>Rios, Neida Ilana Cardoso,</author>
		<author>Leite, Cândida Caroline Souza de Santana,</author>
		<author>Rocha, Washington de Jesus Sant'Anna da Franca,</author>
		<author>Silva, Ardemírio de Barros,</author>
		<electronicmailaddress>rios.ilana@gmail.com</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>daniela.seki@inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>28-31 maio 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>2123-2130</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The Curaçá River Valley is economically important due to occurrences of mafic-ultramafic bodies containing cooper sulphide mineralization. The mineralization consists of copper sulphides with predominance of chalcopyrite and bornite. The sulphides shows unusual characteristics, as the high percentage of iron oxides associated, therefore the mapping of iron oxides can help to identify new copper mineralization targets. The integration of geophysical and remote sensing data supports a geological knowledge by analysis of physical properties of rocks, being used as a tool for mining exploration. Band ratio were achieved on RapidEye imagery, allowing the recognition of iron oxides index and has been integrated with airborne geophysical data, as magnetometry and gamma-ray spectrometry. The integration proved to be an adequate alternative for mapping iron oxides and recognize mineralized areas.</abstract>
		<area>SRE</area>
		<type>Geologia</type>
		<language>pt</language>
		<targetfile>59785.pdf</targetfile>
		<usergroup>banon</usergroup>
		<visibility>shown</visibility>
		<mirrorrepository>urlib.net/www/2011/03.29.20.55</mirrorrepository>
		<nexthigherunit>8JMKD3MGP6W34M/3PMFNUS</nexthigherunit>
		<citingitemlist>sid.inpe.br/marte2/2017/09.25.14.55 2</citingitemlist>
		<hostcollection>dpi.inpe.br/marte2/2013/05.17.15.03.06</hostcollection>
		<username>banon</username>
		<lasthostcollection>dpi.inpe.br/marte2/2013/05.17.15.03.06</lasthostcollection>
		<url>http://marte2.sid.inpe.br/rep-/sid.inpe.br/marte2/2017/10.27.12.34.31</url>
	</metadata>
</metadatalist>