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A remote analysis of the lunar landscape
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|Title:||A remote analysis of the lunar landscape|
show 2 morenear-infrared spectroscopy
lunar remote sensing
|Issue Date:||Dec 2014|
|Publisher:||[Honolulu] : [University of Hawaii at Manoa], [December 2014]|
|Abstract:||The integration of remote sensing data sets is important to producing accurate interpretations of geomorphological features on the lunar surface. Studies of the surface can reveal the geological history of the Moon and Earth, provide key observations to the early Solar System, assist in refining surface process models, and find important resources for future exploration. The dissertation goals are to advance current remote sensing tools and techniques and use new global data sets and products from Kaguya and the Lunar Reconnaissance Orbiter missions to better understand impact craters and volcanic features. We improved remote sensing tools by characterizing the optical properties of olivine and pyroxene and producing a technique that uses crater degradation state to determine the crater age. We used these tools along with the new data sets and derived products to understand the changes in crater morphology with time, determine the origin of concentric craters, and classify localized pyroclastic deposits based upon physical and compositional properties. From these projects, we successfully modeled the optical properties of olivine and pyroxene by using the Modified Gaussian Model. Also, we calibrated the degree of freshness scale to absolute model ages. In studying lunar geomorphology, we deduced that igneous intrusions underneath small craters (<15 km in diameter) are likely to produce concentric craters. Finally, we found a relationship between surface rock abundance, glass proportion and maximum deposit thickness of localized pyroclastic deposits, which we used to categorize these deposits into four groups.|
|Description:||Ph.D. University of Hawaii at Manoa 2014.|
Includes bibliographical references.
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|Appears in Collections:||Ph.D. - Geology and Geophysics|
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