In‐Flight Calibration of Near‐Infrared Reflectance Spectra Measured by the Zhurong Mars Rover

Author:

Lin Honglei1ORCID,Xu Rui2,Lin Yangting1ORCID,Xu Xuesen23,Wu Bing2ORCID,Gou Sheng1,Wei Yong1ORCID

Affiliation:

1. Key Laboratory of Earth and Planetary Physics Institute of Geology and Geophysics Chinese Academy of Sciences Beijing China

2. Key Laboratory of Space Active Opto‐Electronics Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai China

3. Hangzhou Institute for Advanced Study University of Chinese Academy of Sciences Hangzhou China

Abstract

AbstractThe Zhurong rover of the China's first Mars Exploration Mission successfully landed on the northern plain of Mars and measured near‐infrared (NIR) reflectance spectra with the Mars Surface Composition Detector (MarSCoDe). There was only orbital NIR hyperspectral data before the success of the Zhurong and Perseverance rovers in 2021. The in situ spectral measurements by the rover face different problems when compared with orbital measurements in data analysis, and thus need a new process pipeline. We analyzed the factors affecting the quality of the NIR spectra acquired by the Zhurong rover, including temperature variation of the detector, non‐homogeneous properties of the calibration panels, the atmosphere transmission and Martian dust buildup on the calibration panels. We then identified that the Martian dust buildup on the calibration panels is the main factor affecting the spectra, causing significant discrepancies between the reflectance calibrated with the white and gray panels, respectively, and the systematically higher reflectance values of the Martian soils measured by the Zhurong rover than those by other missions. We proposed a spectral unmixing strategy to restore the radiance of clean calibration panels on the rover and then derived the reflectance spectra with an uncertainty of ∼14%. The method has been tested by simulation experiments in laboratory. The data quality of the in situ NIR spectra of the Zhurong rover is significantly improved after the calibrations based on our pipeline, which is critical for mineral identification on small scales and calibrations of the orbital remote sensing data.

Funder

Key Research Program of Frontier Science, Chinese Academy of Sciences

Publisher

American Geophysical Union (AGU)

Subject

General Earth and Planetary Sciences,Environmental Science (miscellaneous)

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