Analise de dados geologicos, geofisicos e de sensoriamento remoto para geração de modelos prospectivos para a região de Serra Leste, Carajas (PA)

AUTOR(ES)
DATA DE PUBLICAÇÃO

2002

RESUMO

The Serra Leste region, located in the northeast portion of the Carajás Mineral Province (State ofPará, Brazil), hosts several mineral deposits and mineralisations that are related to different geological settings. The Companhia Vale do Rio Doce holds the majority of the property claims in the region and motivated by its prospective potential, the company has built a vast data set, including geologic maps at various scales, high resolution airborne geophysical data and passive (multispectral) and active (radar) remote sensing imagery. The aim of the present work is to integrate these information, via digital data processing and analysis, in order to create a regional prospective model for PGE mineralisations in Carajás. The data set comprises a regional geological map, airborne geophysics (magnetometry, radiometry and time domain electromagnetics), Landsat 7/Enhanced Thematic Mapper Plus (including the 15m resolution panchromatic band) and RADARSAT (8m resolution fine path) imagery. Geological and geophysics data analysis indicate a good correspondence between areas with mafic-ultramafic rocks and low values in gama spectrometry, particularly in the thorium channel. The ultramafic units of the complexes, the main host rock of the mineralisation, are soundly mapped by the analytic signal from the residual magnetic field and by the apparent conductance anomalies yielded through the GEOTEM system. The ETM Plus images processed by an adapted algorithm ofthe Feature Oriented Principal Component Selection (FPCS) technique, highlighted the hydroxyl minerais, generated through weathering of ultramaftc rocks, and iron oxide-rich areas. The combination of the products of digital processing and data analysis, with updated geological data of the Serra Leste region and the Luanga deposit, supported the assembly of a regional prospective model for PGE and allowed the selection of new targets within the studied area

ASSUNTO(S)

geofisica sensoriamento remoto geologia processamento de imagens

ACESSO AO ARTIGO

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