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vol.33 número2Predictibilidad de riesgos geomorfológicos en el sistema hidroeléctrico Necaxa, Sierra Norte de Puebla, MéxicoEXPLORACIÓN DE URANIO MEDIANTE LA INTEGRACIÓN DE IMÁGENES MULTIESPECTRALES, RADAR Y RADIOMETRÍA DE CAMPO EN EL PROYECTO LAGUNA SIRVEN, PROVINCIA DE SANTA CRUZ. índice de autoresíndice de materiabúsqueda de artículos
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Serie correlación geológica

versión On-line ISSN 1666-9479

Resumen

WESTPHALEN, André Bilibio et al. IDENTIFICATION OF TITANIUM MINERALS IN THE REGIÓN OF BOJURU, SÃO JOSÉ DO NORTE, RS - BRAZIL , WTTH TECHNIQUES OF REFLECTANCE SPECTROSCOPY.. Ser. correl. geol. [online]. 2017, vol.33, n.2, pp.1-10. ISSN 1666-9479.

This paper determines the identification of titaniun (Ti) found along the coastal región of Rio Grande do Sul through the spectral classification of satellite images of the Hyperion sensor. As a contribution, it demonstrates the possibility of building mineral mapping using satellite data for coastal áreas without vegetation cover. The methodology steps were: 1) bibliographic review to determine concentration valúes typical of the mineral of interest; 2) selecting from a spectral library of signatures minerais of interest; 3) determination of the features characteristic for minerais of interest, generating endmember files; 4) obtaining and pre-processing of hyperspectral data from Hyperion to the study área; 5) reducing the dimensionality of the hyperspectral data analyzed in order to avoid redundancy and excess processing; 6) comparing the selected and endmembers this spectral response for each pixel of the image by using the spectral comparison technique known as frst-derivative; 7) determination of the presence of minerais of titanium maps for the analyzed área; and 8) comparison between the results and those described in the literature. From this method, they built up thematic images indicating the presumed presence mineral per pixel, represented in scale concentration. The work exposed the use of orbital sensor data as an important mining support tool as well as the mapping of mineral resources over large áreas and discoveries, with the coastal zones.

Palabras clave : Hyperion. Mineral mapping. Spectroscopy..

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