Modelo exploratorio para depositos auriferos do tipo Morro do Ouro com base em dados e tecnicas de sensoriamento remoto

AUTOR(ES)
DATA DE PUBLICAÇÃO

2000

RESUMO

A method for the identification of metallotects related to Morro do Ouro-type gold deposits (DTMO) is proposed, based on remote sensing data and techniques. Samples from this type of deposit, collected at Paracatu (Minas Gerais State) and Luziânia (Goiás State), were studied through reflectance spectroscopy and petrography. The results showed that iron oxides and hydroxides, organic matter, phyllosilicates (mainly muscovite and clay mineraIs, such as smectite, kaolinite and illite) are the main constituents, responsible for the spectraI signature of the phyllites which host the mineralization (Morro do Ouro and Serra da Anta units) and aIso that these two units can be mapped as a function of the intensity variation in the 2.2 J.U1l spectra1 absorption feature. Remote sensors with bands located at this wavelength region are therefore the best choice for exploration ofthis type of deposit. A vailable geologica1 data were integrated with spectral data, forming the basis for the exploration model. The spatiaI dimensions of metallotects and spectral resolution of the sensors were also taken into account in the model. Spectra1 cwves ofthe samples were modeled according to the spectra1 resolution ofLandsatrTM and ASTER This latter sensor showed to be potentia11y important for the detection of DTMO meta1lotects, due to its better spectral resolution than TM. The exploration model was tested on a TM scene of the Paracatu region, using image processing techniques. Color composites of band ratios and band subtractions, principal component anaIysis and spectral c1assification routines such as SAM and SFF were used for enhancing spectral and spatial attributes related to the Morro do Ouro unit. The conception and application of the remote sensing exploration model for DTMO aIlowed the identification of the most suitable sensor for the task, to predict the detectability of structures and mineraIs assemblages associated with the mineraIization and to establish an appropriate image processing strategy

ASSUNTO(S)

analise espectral processamento de imagens - tecnicas digitais ouro

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