期刊
ECONOMIC GEOLOGY
卷 113, 期 7, 页码 1587-1601出版社
SOC ECONOMIC GEOLOGISTS, INC
DOI: 10.5382/econgeo.2018.4604
关键词
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WorldView 3 (WV3) standard 2A visible near-infrared (VNIR) and short-wave infrared (SWIR) data of Mountain Pass, California, were calibrated to reflectance and used to map rock types and minerals using true- and false-color composite images, band ratios, and logical operator algorithms. VNIR true-color composite (V5 = red, V3 = green, and V2 = blue) and band ratio imagery were useful for mapping Fe3+-rich Proterozoic gneiss, the Aztec Sandstone, and carbonatite rocks in the Sulphide Queen rare earth element (BEE) mine pit but were unable to map neodymium-rich rocks due to low spectral resolution at VNIR wavelengths and overlap of BEE spectral absorption features with those of Fe3+-bearing minerals. SWIR false-color composite images, band ratio grayscale images, band ratio false-color composite images, and logical operator-derived mineral maps were able to map muscovite-rich Proterozoic granitic gneiss and Jurassic hydrothermally altered granites using the Al-O-H spectral absorption feature, chlorite-epidote-rich Protercrzoic schist and Jurassic skarn deposits using the ferrous iron and Fe, Mg-O-H spectral absorption features, and calcite-rich Paleozoic limestone and dolomite-rich Paleozoic dolostone using the CO32- spectral absorption feature. In addition, logical operator algorithms were able to discriminate Fe-bearing muscovite from muscovite in the polymetallic (gold and silver) Morning Star mine, which supports previous studies that suggest Fe-bearing muscovite is closely associated with mineralization.
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