TY - JOUR
T1 - Simplified Automatic Atmospheric Correction for THEMIS Infrared Data
AU - Ye, Cheng
AU - Pan, Cong
AU - Edwards, Christopher S.
AU - Rogers, A. Deanne
N1 - Publisher Copyright:
© 2022. The Authors. Earth and Space Science published by Wiley Periodicals LLC on behalf of American Geophysical Union.
PY - 2022/9
Y1 - 2022/9
N2 - Thermal infrared spectral data from the Thermal Emission Imaging System (THEMIS) on Mars Odyssey can provide diagnostic information to characterize Martian surface compositions. Accurately isolating the atmospheric contribution from the thermal radiance of THEMIS data is essential for surface mineralogy analysis. In this work, we present improved semi-automatic and fully automated tools to simplify the traditional atmospheric correction method for THEMIS data. Both methods use the Thermal Emission Spectrometer surface emissivity data but in different ways. These two methods are applied to several locations that have been well documented in previous studies, to assess their capability of determining surface spectral features. The fully automatic method demonstrates its simplicity, viability, and robustness by which more consistent results have been generated for the same area across multiple THEMIS images and for areas with large topographic gradients. The tools developed in this work will broaden the utilization of THEMIS infrared spectral data to the wider planetary science community.
AB - Thermal infrared spectral data from the Thermal Emission Imaging System (THEMIS) on Mars Odyssey can provide diagnostic information to characterize Martian surface compositions. Accurately isolating the atmospheric contribution from the thermal radiance of THEMIS data is essential for surface mineralogy analysis. In this work, we present improved semi-automatic and fully automated tools to simplify the traditional atmospheric correction method for THEMIS data. Both methods use the Thermal Emission Spectrometer surface emissivity data but in different ways. These two methods are applied to several locations that have been well documented in previous studies, to assess their capability of determining surface spectral features. The fully automatic method demonstrates its simplicity, viability, and robustness by which more consistent results have been generated for the same area across multiple THEMIS images and for areas with large topographic gradients. The tools developed in this work will broaden the utilization of THEMIS infrared spectral data to the wider planetary science community.
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U2 - 10.1029/2022EA002471
DO - 10.1029/2022EA002471
M3 - Article
AN - SCOPUS:85139102605
SN - 2333-5084
VL - 9
JO - Earth and Space Science
JF - Earth and Space Science
IS - 9
M1 - e2022EA002471
ER -