TY - JOUR
T1 - Principal components analysis of Martian NIR image cubes to retrieve surface spectral endmembers
AU - Klassen, David R.
N1 - Funding Information:
This work has been supported by NASA Mars Data Analysis Program (NAG5-11076) and by both the National Science Foundation Planetary Astronomy and Research at Undergraduate Institutions programs (0307924 and 1008744).
Publisher Copyright:
© 2016. The Astronomical Society of the Pacific. All rights reserved.
PY - 2016/7
Y1 - 2016/7
N2 - Presented here is a discussion of the complete principal components analysis (PCA) performed on all photometric NASA Infrared Telescope Facility (IRTF) NSFCAM spectral image sets from 1995–2001 and Mars Reconnaissance Orbiter (MRO) Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) spectral image sets from 2006–2008, detailing the similarities and differences and overall interpretation of the PC dimensional spaces. The purpose of the analysis is to use the PCA to recover surface spectral endmembers to be used in a full radiative transfer modeling program to recover ice cloud optical depths (and thus water content) over diurnal, seasonal, and interannual timescales. The PCA results show considerable consistency across all seasons, and can be optimized to increase the consistency through both spectral and geographic restrictions on the data.
AB - Presented here is a discussion of the complete principal components analysis (PCA) performed on all photometric NASA Infrared Telescope Facility (IRTF) NSFCAM spectral image sets from 1995–2001 and Mars Reconnaissance Orbiter (MRO) Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) spectral image sets from 2006–2008, detailing the similarities and differences and overall interpretation of the PC dimensional spaces. The purpose of the analysis is to use the PCA to recover surface spectral endmembers to be used in a full radiative transfer modeling program to recover ice cloud optical depths (and thus water content) over diurnal, seasonal, and interannual timescales. The PCA results show considerable consistency across all seasons, and can be optimized to increase the consistency through both spectral and geographic restrictions on the data.
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U2 - 10.1088/1538-3873/128/965/074501
DO - 10.1088/1538-3873/128/965/074501
M3 - Article
AN - SCOPUS:84976340307
SN - 0004-6280
VL - 128
JO - Publications of the Astronomical Society of the Pacific
JF - Publications of the Astronomical Society of the Pacific
IS - 965
M1 - 074501
ER -