Spectral data set factor analysis and end-member recovery: Application to analysis of Martian atmospheric particulates

Joshua L. Bandfield, Philip Christensen, Michael D. Smith

Research output: Contribution to journalArticle

106 Citations (Scopus)

Abstract

A method is described that uses target transformation factor analysis techniques to determine the number of independently variable components and recover the spectral end-members present in a set of mixed spectra. These techniques were tested on two sets of synthetic spectral mixtures and several subsets of Thermal Emission Spectrometer (TES) data. In both synthetic mixture sets, the correct numbers of components were determined, and the original spectral end-members were accurately recovered. An initial application of this method was used with several subsets of TES apparent emissivity spectra that contain only minor surface spectral components. This method has demonstrated that the spectra can be modeled using linear combinations of three spectral end-members: atmospheric dust (with atmospheric gas absorptions that vary in unison with the dust shape), water ice cloud, and blackbody. The atmospheric dust and water ice cloud spectral shapes were recovered from several orbits with a wide variety of atmospheric dust opacities during the southern spring and summer seasons. The atmospheric dust spectral shape is nearly constant except for the relative contribution of atmospheric gasses that vary in unison with the dust shape. The water ice spectral shape is also constant with the exception of a small shift in the position of the ∼800 cm-1 absorption that was observed during a period of high opacity.

Original languageEnglish (US)
Pages (from-to)9573-9587
Number of pages15
JournalJournal of Geophysical Research E: Planets
Volume105
Issue numberE4
StatePublished - Apr 25 2000

Fingerprint

factor analysis
Factor analysis
particulates
Dust
dust
recovery
Recovery
Ice
ice clouds
Opacity
thermal emission
opacity
ice
set theory
Spectrometers
Water
spectrometer
spectrometers
water
Gas absorption

ASJC Scopus subject areas

  • Earth and Planetary Sciences (miscellaneous)
  • Atmospheric Science
  • Geochemistry and Petrology
  • Geophysics
  • Oceanography
  • Space and Planetary Science
  • Astronomy and Astrophysics

Cite this

Spectral data set factor analysis and end-member recovery : Application to analysis of Martian atmospheric particulates. / Bandfield, Joshua L.; Christensen, Philip; Smith, Michael D.

In: Journal of Geophysical Research E: Planets, Vol. 105, No. E4, 25.04.2000, p. 9573-9587.

Research output: Contribution to journalArticle

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AB - A method is described that uses target transformation factor analysis techniques to determine the number of independently variable components and recover the spectral end-members present in a set of mixed spectra. These techniques were tested on two sets of synthetic spectral mixtures and several subsets of Thermal Emission Spectrometer (TES) data. In both synthetic mixture sets, the correct numbers of components were determined, and the original spectral end-members were accurately recovered. An initial application of this method was used with several subsets of TES apparent emissivity spectra that contain only minor surface spectral components. This method has demonstrated that the spectra can be modeled using linear combinations of three spectral end-members: atmospheric dust (with atmospheric gas absorptions that vary in unison with the dust shape), water ice cloud, and blackbody. The atmospheric dust and water ice cloud spectral shapes were recovered from several orbits with a wide variety of atmospheric dust opacities during the southern spring and summer seasons. The atmospheric dust spectral shape is nearly constant except for the relative contribution of atmospheric gasses that vary in unison with the dust shape. The water ice spectral shape is also constant with the exception of a small shift in the position of the ∼800 cm-1 absorption that was observed during a period of high opacity.

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