Analysis of United States Geological Survey spectral library of silicate minerals: implication for remote sensing applications

Chaojun Fan; Joan Wu; Hongjie Xie; Stuart Birnbaum

doi:10.1117/1.JRS.6.063514

20 March 2012 Analysis of United States Geological Survey spectral library of silicate minerals: implication for remote sensing applications

Chaojun Fan, Joan Wu, Hongjie Xie, Stuart Birnbaum

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 6, Issue 1, 063514 (March 2012). https://doi.org/10.1117/1.JRS.6.063514

Abstract

Hyperspectral imaging is broadly used in the identification of hydroxylated and hydrated silicate minerals, especially at the wavelengths of 1.0 to 2.5 µm. The vibrations of the hydroxyl (OH) molecule, water molecule (H−O−H), and metal−OH bonds, or their combinations, produce prominent absorption features at ∼ 1.40, ∼ 1.91, and 2.20 to 2.40 μm wavelengths. In remote sensing applications, minerals showing one or two of these absorption features are usually categorized as hydroxylated and/or hydrated, and minerals showing all three absorption features are usually categorized as hydrated phyllosilicates. We examine the USGS spectral library of common silicate minerals and find that some showing these absorption features are not hydroxylated and/or hydrated but with slight alteration or impurities. This implies that the identification of hydroxylated and/or hydrated silicate minerals may not be merely based on these absorption features. Rather, incorporation of geological and environmental background is also important. We further calculate the absorption depths and silicate mineral ratios in these absorption features as references for discrimination. This study provides a cautionary perspective on the identification of hydrated phyllosilicate minerals with respect to mineralogical interpretations of Mars and other planets.

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Chaojun Fan, Joan Wu, Hongjie Xie, and Stuart Birnbaum "Analysis of United States Geological Survey spectral library of silicate minerals: implication for remote sensing applications," Journal of Applied Remote Sensing 6(1), 063514 (20 March 2012). https://doi.org/10.1117/1.JRS.6.063514

Published: 20 March 2012

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