New Algorithm for Mapping TiO2 Concentrations Using Clementine UVVIS Data Suggests a Non-uniform Global Distribution of Basalt Types.

Details New Algorithm for Mapping TiO2 Concentrations Using Clementine UVVIS Data Suggests a Non-uniform Global Distribution of Basalt Types. New Algorithm for Mapping TiO2 Concentrations Using Clementine UVVIS Data Suggests a Non-uniform Global Distribution of Basalt Types.

May 2001

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001agusm...p21a07g&link_type=abstract

American Geophysical Union, Spring Meeting 2001, abstract #P21A-07

Other

5410 Composition, 5464 Remote Sensing, 5470 Surface Materials And Properties, 5480 Volcanism (8450), 6250 Moon (1221)

Scientific paper

In both sample and remote sensing analysis of mare basalts, TiO2 is the most useful discriminator in classification because of its substantial variation in concentration, from <1 to >14wt.%. A significant discrepancy arises when comparing mare basalt sample data, which shows a bimodal distribution of TiO2 (modes at 2.5 and 12.5wt.%), with the remote sensing data, which shows a continuum (mode 2.75wt.%). It is thus important to map TiO2 accurately in order to understand whether basalts of intermediate-Ti content exist as abundantly as observed in the remote sensing data, and to determine their mode of origin (e.g., impact mixing of high and low-Ti units or derivation from intermediate-Ti source regions). Building upon earlier methods for estimating TiO2, we integrate basaltic rock and soil TiO2 concentrations with Clementine Spectral Reflectance (CSR) data to produce a more accurate algorithm for estimating TiO2. Two checks are used to test the accuracy of the modified algorithm. First, applying the algorithm to CSR data of 2x2 km regions centered on individual landing sites, we find that the algorithm faithfully reproduces the bimodal distribution of TiO2 contents as seen in the sample collection. Second, the Lunar Prospector neutron spectrometer data provide an independent test of the global estimates of TiO2 concentrations. When TiO2 concentrations from the new algorithm are coupled with the effects of other thermal neutron absorbers (e.g., Fe, Ca, Sm, Gd), they match more closely the observed epithermal-to-thermal neutron flux ratio than do the TiO2 concentrations calculated previously. Examining the global distribution of TiO2, we find that a majority of basalt flows with intermediate TiO2 concentrations occur in the western nearside maria with a minor distribution of intermediate TiO2 basalts occurring in the eastern maria. The intermediate-Ti basalts in M. Tranquillitatis appear to be caused by impact mixing between high and low-Ti basalts, whereas the basalt flows in O. Procellarum appear to have inherent intermediate-Ti contents. The heterogeneity in TiO2 between the eastern and western nearside maria suggests that mantle source regions below these areas differ significantly and that differences in mantle composition may be coupled to the crustal terranes under which they occur.

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