Global mapping of iron and titanium oxides in the lunar megaregolith and subsurface

Jackson, Noel William and Carter, B. D. (2007) Global mapping of iron and titanium oxides in the lunar megaregolith and subsurface. Australian Journal of Earth Sciences, 54 (6). pp. 851-859. ISSN 0812-0099

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Abstract

[Abstract]: This paper reports mapping results obtained by remote sensing analysis of Iron and Titanium oxides in the megaregolith under the lunar Highlands regolith and in the subsurface under the Mare and South Pole Aitken basin regolith. FeO and TiO2 images were mosaicked from data extracted from the 1994 Clementine lunar orbiter mission from 600 N to 600 S, using the Lucey et al. technique (2000). These images then used to study the ejecta blanket for each of 2059 craters analysed using ISIS software (US Geological Survey). Average weight percentage values for each crater ejecta blanket were interpolated to derive underlying global Province Maps for FeO and TiO2. The Moon was divided into five (5) provinces as a balance of the needs of analysis requirements and simplicity. Division of global TiO2 weight percentages in the megaregolith /subsurface five provinces was matching the observed distribution of that at the surface. In contrast, division of lunar FeO into 5 Provinces reveals unexpectedly elevated iron concentrations (3.8 to 6.4%) in some areas of the Highland megaregolith. This Province of elevated iron oxide is termed “Highland II”.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author's version deposited in accordance with the copyright policy of the publisher.
Depositing User: Ms Debbie White
Faculty / Department / School: Historic - Faculty of Sciences - Department of Biological and Physical Sciences
Date Deposited: 06 Mar 2008 04:21
Last Modified: 02 Jul 2013 22:48
Uncontrolled Keywords: moon, Clementine, mapping, crater, ejecta, megaregolith, subsurface
Fields of Research (FOR2008): 02 Physical Sciences > 0201 Astronomical and Space Sciences > 020199 Astronomical and Space Sciences not elsewhere classified
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
Identification Number or DOI: doi: 10.1080/08120090701392713
URI: http://eprints.usq.edu.au/id/eprint/3020

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