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Remote sensing for mineral exploration in central Portugal

2017-10-01Artigo científico Acesso aberto
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dc.contributor.authorManuel, Ricardo
dc.contributor.authorBrito, Maria da Graça
dc.contributor.authorChichorro, Martim
dc.contributor.authorRosa, Carlos
dc.contributor.institutionGeoBioTec - Geobiociências, Geoengenharias e Geotecnologias
dc.contributor.pblMDPI - Multidisciplinary Digital Publishing Institute
dc.date.accessioned2018-11-29T23:20:07Z
dc.date.available2018-11-29T23:20:07Z
dc.date.issued2017-10-01
dc.descriptionGeoBiotec (UID/GEO/04035/2013/FCT)
dc.description.abstractCentral Portugal is well known for the existence of Sn-W and Au-Ag mineral occurrences primarily associated with hydrothermal processes. Despite the economic and strategic importance of such occurrences, the detailed geology of this particular region is poorly known and there is an obvious absence of geological mapping at an adequate scale. Remote sensing techniques were used in order to increase current geological knowledge of the Góis-Castanheira de Pêra area (600 km2) and to guide future exploration stages by targeting and prioritising potential locations. Digital image processing algorithms, such as Red, Green, Blue (RGB) colour composites, digital spatial filters, band ratios and Principal Components Analysis, were applied to Landsat 8 imagery and elevation data. Lineaments were extracted relying on geological photointerpretation criteria, allowing the identification of new geological-structural elements. Fieldwork was carried out in order to validate the remote sensing interpretations. Integration of remote sensing data with other information sources led to the definition of locations possibly suitable for hosting Sn-W and Au-Ag mineral occurrences. These areas were ranked according to their mineral potential. Targeting the most promising locations resulted in a reduction to less than 10% of the original study area (50.5 km2).en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent29164170
dc.identifier.doi10.3390/min7100184
dc.identifier.issn2075-163X
dc.identifier.otherPURE: 3366881
dc.identifier.otherPURE UUID: 6009f360-3382-4e75-83d3-681897dc402b
dc.identifier.otherScopus: 85031401519
dc.identifier.otherWOS: 000414912300008
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85031401519&origin=resultslist&sort=plf-f&src=s&st1
dc.identifier.urifile:///C:/Users/imp/Downloads/minerals-07-00184-v3.pdf
dc.identifier.urlhttps://www.scopus.com/record/display.uri?eid=2-s2.0-85031401519&origin=resultslist&sort=plf-f&src=s&st1
dc.identifier.urlfile:///C:/Users/imp/Downloads/minerals-07-00184-v3.pdf
dc.language.isoeng
dc.peerreviewedyes
dc.subjectDigital image processing
dc.subjectGold
dc.subjectLineaments
dc.subjectMineral exploration
dc.subjectPortugal
dc.subjectRemote sensing
dc.subjectTin
dc.subjectTungsten
dc.subjectGeotechnical Engineering and Engineering Geology
dc.subjectGeology
dc.titleRemote sensing for mineral exploration in central Portugalen
dc.typejournal article
degois.publication.issue10
degois.publication.titleMinerals
degois.publication.volume7
dspace.entity.typePublication
rcaap.rightsopenAccess

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