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Estimates of the Lunar Surface Composition with Clementine Images and LSCC DataThere have been several approaches to develop remote sensing technique to estimate composition of the lunar surface using multispectral observations. We present a new approach based on statistical analysis of spectral and compositional data for lunar samples by the Lunar Soil Characterization Consortium (LSCC) and using the UVVIS Clementine data with 1 km resolution. This technique allows us to estimate and map the abundance of TiO2, SiO2, and FeO, pyroxene and plagioclase content, and maturity degree (Is/FeO).
Document ID
20030110973
Document Type
Conference Paper
Authors
Shkuratov, Yu. (Kharkov Astronomical Observatory Kharkov, Ukraine)
Pieters, C. (Brown Univ. Providence, RI, United States)
Omelchenko, V. (Kharkov Astronomical Observatory Kharkov, Ukraine)
Stankevich, D. (Kharkov Astronomical Observatory Kharkov, Ukraine)
Kaydash, V. (Kharkov Astronomical Observatory Kharkov, Ukraine)
Taylor, L. (Tennessee Univ. Knoxville, TN, United States)
Date Acquired
August 21, 2013
Publication Date
January 1, 2003
Publication Information
Publication: Lunar and Planetary Science XXXIV
Subject Category
Lunar and Planetary Science and Exploration
Funding Number(s)
CONTRACT_GRANT: INTAS-2000-0792
CONTRACT_GRANT: NAG5-10469
Distribution Limits
Public
Copyright
Public Use Permitted.

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