1Megha Bhatt, 1Urs Mall, 2Christian Wöhler, 2Arne Grumpe, 1Roberto Bugiolacchi
1Max-Planck-Institut für Sonnensystemforschung, Max-Planck-Straße 2, 37191 Katlenburg-Lindau, Germany
2Image Analysis Group, Dortmund University of Technology,Otto-Hahn Str.4,44227 Dortmund, Germany
The FeO weight percentage (wt.%) abundance of the Moon’s western nearside (View the MathML source55°S-55°N and View the MathML source5°E-40°W) is estimated using data from the InfraRed Spectrometer-2 (SIR-2) and the Moon Mineralogy Mapper (M3). In this study, we modified an FeO abundance estimation algorithm (Bhatt et al., 2012) which relies exclusively on the 2-μm absorption band parameters. The modified FeO abundance estimation algorithm and the regression-based elemental abundance estimation algorithm (Wöhler et al., 2014) which is based on the 1-μm and 2-μm absorption band parameters is applied to the M3 data. We have compared results obtained from these two modified algorithms with a previously published Clementine’s FeO wt.% map (Lucey et al., 2000). The effects of topography and space weathering on FeO wt.% estimates have been successfully minimized using the modified algorithm based on the 2-μm absorption band parameters. Thus, this algorithm can be successfully applied at middle to high latitudes. Furthermore, a correction for TiO2 is applied to the FeO abundance estimation algorithm based on the 2-μm absorption band parameters using the M3 data. Our comparative study shows a good correspondence between the three algorithms discussed. There are two locations: the crater Tycho and the region around Rima Bode which show major discrepancies. Our modified algorithm based on the 2-μm absorption parameters predicts 3-4 wt.% less FeO for the ray system of Tycho than for the surrounding region. The average iron abundance for the lunar highlands is about 6 wt.% and for the mare regions is about 16 wt.% using the regression-based elemental abundance estimation algorithm and the algorithm based on the 2-μm absorption parameters. This result is consistent with the previous analysis using Lunar Prospector Gamma-Ray Spectrometer data sets. The FeO wt.% is in the range 20-24 wt.% for the high-Ti basalts using both the modified iron abundance estimation and the regression-based elemental abundance estimation algorithms.
Reference
Bhatt M, Mall U, Wöhler C, Grumpe A, Bugiolacchi R (2014) A Comparative study of iron abundance estimation methods: application to the western nearside of the moon. Icarus (in Press)
Link to Article [DOI: 10.1016/j.icarus.2014.10.023]
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