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Mineral and Lithologic Mapping Capability of WorldView 3 Data at Mountain Pass, California, Using True- and False-Color Composite Images, Band Ratios, and Logical Operator Algorithms
Author(s) -
John C. Mars
Publication year - 2018
Publication title -
economic geology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.672
H-Index - 113
eISSN - 1554-0774
pISSN - 0361-0128
DOI - 10.5382/econgeo.2018.4604
Subject(s) - vnir , geology , remote sensing , proterozoic , mineralogy , gneiss , absorption (acoustics) , hyperspectral imaging , geochemistry , metamorphic rock , optics , paleontology , physics , tectonics
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 trueand 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 (REE) mine pit but were unable to map neodymium-rich rocks due to low spectral resolution at VNIR wavelengths and overlap of REE 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 Proterozoic 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 CO3 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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