Targeting key alteration minerals in epithermal deposits in Patagonia, Argentina, using ASTER imagery and principal component analysis

dc.creatorCrosta, AP
dc.creatorDe Souza, CR
dc.creatorAzevedo, F
dc.creatorBrodie, C
dc.date2003
dc.dateNOV
dc.date2014-11-15T10:03:10Z
dc.date2015-11-26T16:10:31Z
dc.date2014-11-15T10:03:10Z
dc.date2015-11-26T16:10:31Z
dc.date.accessioned2018-03-28T22:59:08Z
dc.date.available2018-03-28T22:59:08Z
dc.identifierInternational Journal Of Remote Sensing. Taylor & Francis Ltd, v. 24, n. 21, n. 4233, n. 4240, 2003.
dc.identifier0143-1161
dc.identifierWOS:000186177900012
dc.identifier10.1080/0143116031000152291
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/79049
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/79049
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/79049
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1266893
dc.descriptionPrincipal component analysis (PCA) is an image processing technique that has been commonly applied to Landsat Thematic Mapper (TM) data to locate hydrothermal alteration zones related to metallic deposits. With the advent of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), a 14-band multispectral sensor operating onboard the Earth Observation System (EOS)-Terra satellite, the availability of spectral information in the shortwave infrared (SWIR) portion of the electromagnetic spectrum has been greatly increased. This allows detailed spectral characterization of surface targets, particularly of those belonging to the groups of minerals with diagnostic spectral features in this wavelength range, including phyllosilicates ('clay' minerals), sulphates and carbonates, among others. In this study, PCA was applied to ASTER bands covering the SWIR with the objective of mapping the occurrence of mineral endmembers related to an epithermal gold prospect in Patagonia, Argentina. The results illustrate ASTER's ability to provide information on alteration minerals which are valuable for mineral exploration activities and support the role of PCA as a very effective and robust image processing technique for that purpose.
dc.description24
dc.description21
dc.description4233
dc.description4240
dc.languageen
dc.publisherTaylor & Francis Ltd
dc.publisherAbingdon
dc.publisherInglaterra
dc.relationInternational Journal Of Remote Sensing
dc.relationInt. J. Remote Sens.
dc.rightsfechado
dc.rightshttp://journalauthors.tandf.co.uk/permissions/reusingOwnWork.asp
dc.sourceWeb of Science
dc.subjectReflection Radiometer Aster
dc.subjectSpaceborne Thermal Emission
dc.subjectMeiduk Area
dc.subjectIran
dc.titleTargeting key alteration minerals in epithermal deposits in Patagonia, Argentina, using ASTER imagery and principal component analysis
dc.typeArtículos de revistas


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