Other
Scientific paper
Jan 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002mbns.conf...15e&link_type=abstract
The Moon Beyond 2002: Next Steps in Lunar Science and Exploration, p. 15
Other
Remote Sensing, Titanium, Lunar Surface, Lunar Resources, Spectral Reflectance, Data Processing
Scientific paper
Lunar mare basalt classification schemes have relied on titanium content as a principal classifier owing to its considerable variability in returned samples. Ti is an indicator of the mineral ilmenite, a potential lunar resource and a major player in mare basalt petrogenesis. Since lunar mare basalt samples (and associated soils) come from only a few nearside sites, it is important to determine if the sample collection accurately reflects the global distribution of titanium in mare basalts. Mare basalt soils in the sample suite suggest two fundamental populations of basalts, high-Ti and low-Ti, while global estimates based on spectral reflectance techniques reveal a continuous gradation of titanium abundance. In addition, there have been disagreements between optical and nuclear remote sensing techniques used to estimate TiO2 abundance. Recent efforts to refine spectral reflectance techniques have provided better agreement with both samples and neutron-spectrometry techniques, but there are still differences in the estimates. Here we report on new results for TiO2 obtained by the Lunar Prospector Gamma Ray Spectrometer data analysis, and compare them to estimates provided by other techniques.
Elphic Richard C.
Feldman William C.
Gasnault Olivier
Gillis Jeffery J.
Jolliff Brad L.
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