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New maps of major oxides and Mg # of the lunar surface from additional geochemical data of Chang’E-5 samples and KAGUYA multiband imager data
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  • Liang Zhang,
  • Xubing Zhang,
  • Maosheng Yang,
  • Xiao Xiao,
  • Denggao Qiu,
  • Jianguo Yan,
  • Long Xiao,
  • Jun Huang
Liang Zhang
China University of Geosciences (Wuhan)
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Xubing Zhang
China University of Geosciences
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Maosheng Yang
China University of Geosciences (Wuhan)
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Xiao Xiao
China University of Geosciences
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Denggao Qiu
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University
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Jianguo Yan
Wuhan University
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Long Xiao
China University of Geosciences
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Jun Huang
China University of Geosciences

Corresponding Author:[email protected]

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Abstract

In the past, global maps of major oxides and Mg # of the lunar surface had been derived from spectral data with “ground truth” geochemical information from Apollo and Luna samples. These compositional maps provide insights into the chemical variations of different geologic units, thus the regional and global geologic evolution. In this study, we produced new global maps of major oxides (Al2O3, CaO, FeO, MgO, and TiO2) and Mg # with imaging spectral data of KAGUYA multiband imager (MI) with the one dimensional-convolutional neural network(1D-CNN)algorithm, taking advantage of recently acquired geochemical information of China’s Chang’E-5 (CE-5) samples. The coefficients of determination (R2) and Root Mean Squared Error (RMSE) were selected as the model evaluation indicators, and compared with the models used by Wang et al. (2021) and Xia et al. (2019), the results showed that the 1D-CNN algorithm model used in this study had a higher degree of fit and smaller dispersion between the ground true value and the predicted value. The 1D-CNN algorithm generally performs better in describing the complex nonlinear relationship between spectra and chemical components. In addition, we present regions of mare domes in Mairan Dome (43.76°N, 49.90°W), and irregular mare patches (IMPs) in Sosigenes (8.34°N, 19.07°E) to demonstrate the geologic implications of these new maps. With the highest spatial resolution (~ 59 m / pixel), these new maps of major oxides and Mg # will serve as an important guide in the future study of lunar geology.