A new method for the semiquantitative determination of major rock-forming minerals with thermal infrared multispectral data

Application to THEMIS infrared data

Jun Huang, Christopher S. Edwards, Steven Ruff, Philip Christensen, Long Xiao

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

We have developed a new method (least residual iterative spectral mixture analysis (LRISMA)) to semiquantitatively determine major rock-forming minerals (feldspar, pyroxene, olivine, high-silica phases, and quartz) with multispectral thermal infrared data. Sublibraries of minerals are generated from a master library of minerals based on prior knowledge to produce a suite of realistic mineral end-member combinations to fit the target spectra. Mineral abundances that correspond to the least root-mean-square errors (best fit) generally agree best with previous petrographic studies of laboratory-measured rock samples and thermal infrared hyperspectral analysis of materials on the surface of Mars, given the greatly reduced spectral range and resolution of Thermal Emission Imaging System (THEMIS) spectra. The accuracy and reproducibility of LRISMA is ~4-16% and ~5-20%, respectively, while the accuracy of petrographic and previous hyperspectral studies is ~5-15%. LRISMA can be applied to semiquantitatively refine the bulk surface mineralogy of small-scale (~1 km2) geologic features with high-quality THEMIS spectral data (high surface temperature: >260 K, low atmospheric opacity: total ice < 0.04 and total dust < 0.15) with the ultimate goal of better understanding regional geologic processes. Key Points A new method to semiquantitatively determine minerals with multispectral data It can be applied to THEMIS data to decipher regional geologic processes on Mars

Original languageEnglish (US)
Pages (from-to)2146-2152
Number of pages7
JournalJournal of Geophysical Research E: Planets
Volume118
Issue number10
DOIs
StatePublished - Oct 2013

Fingerprint

thermal emission
Imaging systems
Minerals
Rocks
minerals
rocks
Infrared radiation
spectral mixture analysis
mineral
rock
mars
Mars
Quartz
data systems
Mineralogy
root-mean-square errors
Opacity
Ice
mineralogy
opacity

Keywords

  • major rock-forming minerals
  • Mars
  • multispectral data
  • semiquantitative spectral mixture analysis
  • THEMIS

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science

Cite this

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title = "A new method for the semiquantitative determination of major rock-forming minerals with thermal infrared multispectral data: Application to THEMIS infrared data",
abstract = "We have developed a new method (least residual iterative spectral mixture analysis (LRISMA)) to semiquantitatively determine major rock-forming minerals (feldspar, pyroxene, olivine, high-silica phases, and quartz) with multispectral thermal infrared data. Sublibraries of minerals are generated from a master library of minerals based on prior knowledge to produce a suite of realistic mineral end-member combinations to fit the target spectra. Mineral abundances that correspond to the least root-mean-square errors (best fit) generally agree best with previous petrographic studies of laboratory-measured rock samples and thermal infrared hyperspectral analysis of materials on the surface of Mars, given the greatly reduced spectral range and resolution of Thermal Emission Imaging System (THEMIS) spectra. The accuracy and reproducibility of LRISMA is ~4-16{\%} and ~5-20{\%}, respectively, while the accuracy of petrographic and previous hyperspectral studies is ~5-15{\%}. LRISMA can be applied to semiquantitatively refine the bulk surface mineralogy of small-scale (~1 km2) geologic features with high-quality THEMIS spectral data (high surface temperature: >260 K, low atmospheric opacity: total ice < 0.04 and total dust < 0.15) with the ultimate goal of better understanding regional geologic processes. Key Points A new method to semiquantitatively determine minerals with multispectral data It can be applied to THEMIS data to decipher regional geologic processes on Mars",
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AU - Christensen, Philip

AU - Xiao, Long

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N2 - We have developed a new method (least residual iterative spectral mixture analysis (LRISMA)) to semiquantitatively determine major rock-forming minerals (feldspar, pyroxene, olivine, high-silica phases, and quartz) with multispectral thermal infrared data. Sublibraries of minerals are generated from a master library of minerals based on prior knowledge to produce a suite of realistic mineral end-member combinations to fit the target spectra. Mineral abundances that correspond to the least root-mean-square errors (best fit) generally agree best with previous petrographic studies of laboratory-measured rock samples and thermal infrared hyperspectral analysis of materials on the surface of Mars, given the greatly reduced spectral range and resolution of Thermal Emission Imaging System (THEMIS) spectra. The accuracy and reproducibility of LRISMA is ~4-16% and ~5-20%, respectively, while the accuracy of petrographic and previous hyperspectral studies is ~5-15%. LRISMA can be applied to semiquantitatively refine the bulk surface mineralogy of small-scale (~1 km2) geologic features with high-quality THEMIS spectral data (high surface temperature: >260 K, low atmospheric opacity: total ice < 0.04 and total dust < 0.15) with the ultimate goal of better understanding regional geologic processes. Key Points A new method to semiquantitatively determine minerals with multispectral data It can be applied to THEMIS data to decipher regional geologic processes on Mars

AB - We have developed a new method (least residual iterative spectral mixture analysis (LRISMA)) to semiquantitatively determine major rock-forming minerals (feldspar, pyroxene, olivine, high-silica phases, and quartz) with multispectral thermal infrared data. Sublibraries of minerals are generated from a master library of minerals based on prior knowledge to produce a suite of realistic mineral end-member combinations to fit the target spectra. Mineral abundances that correspond to the least root-mean-square errors (best fit) generally agree best with previous petrographic studies of laboratory-measured rock samples and thermal infrared hyperspectral analysis of materials on the surface of Mars, given the greatly reduced spectral range and resolution of Thermal Emission Imaging System (THEMIS) spectra. The accuracy and reproducibility of LRISMA is ~4-16% and ~5-20%, respectively, while the accuracy of petrographic and previous hyperspectral studies is ~5-15%. LRISMA can be applied to semiquantitatively refine the bulk surface mineralogy of small-scale (~1 km2) geologic features with high-quality THEMIS spectral data (high surface temperature: >260 K, low atmospheric opacity: total ice < 0.04 and total dust < 0.15) with the ultimate goal of better understanding regional geologic processes. Key Points A new method to semiquantitatively determine minerals with multispectral data It can be applied to THEMIS data to decipher regional geologic processes on Mars

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