A quantitative model to estimate major oxide abundances on the Moon based on in situ reflectance spectral data of Chang'e missions
A quantitative model to estimate major oxide abundances on the Moon based on in situ reflectance spectral data of Chang'e missions
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DOI：
10.1016/j.icarus.2024.115962
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发表时间：
2024-03
期刊：
影响因子：
3.2
通讯作者：
Zhenxing Zhao;Yazhou Yang;Xing Wu;Yang Liu;Feng Zhang;Rui Xu;Zhiping He;Yangting Lin;Yongliao Zou
中科院分区：
文献类型：
--
作者：
Zhenxing Zhao;Yazhou Yang;Xing Wu;Yang Liu;Feng Zhang;Rui Xu;Zhiping He;Yangting Lin;Yongliao Zou
月壤的氧化物丰度是了解月球区域和全球地质演化的基础。基于Apollo和Luna样品的可见光和近红外（VNIR）光谱，建立了几个估算月壤氧化物含量的模型。近年来，中国成功的探月任务嫦娥三号、嫦娥四号和嫦娥五号为开发模型提供了新的地面实况数据。在这项研究中，我们提出了一种新的方法来估计FeO，TiO 2，MgO，CaO，和Al 2 O 3含量的VNIR光谱，光谱导数的基础上，遗传算法，偏最小二乘回归。我们通过比较我们估计的氧化物丰度与直接从现场或实验室测量得到的丰度来验证模型的鲁棒性。利用我们的模型，沿沿着嫦娥四号，玉兔二号导线的化学成分估计，着陆区的矿物学和地质性质提供了重要的约束。
The oxide abundances of the lunar regolith are fundamental for understanding the geological evolution of the Moon both regionally and globally. Several models have been constructed to estimate the oxide contents of lunar regolith from the visible and near-infrared (VNIR) spectra based on Apollo and Luna samples. In recent years, China's successful lunar missions, Chang'e-3, Chang'e-4, and Chang'e-5 have yielded new ground-truth data for developing the models. In this study, we propose a novel approach to estimate the FeO, TiO2, MgO, CaO, and Al2O3contents from VNIR spectra, based on spectral derivative, genetic algorithm, and partial least squares regression. We validate the model's robustness by comparing our estimated oxide abundances with those derived directly from in situ or laboratory measurements. Using our model, the chemical compositions along the Chang'e-4, Yutu-2 traverse are estimated, providing important constraints on the mineralogical and geological properties of the landing area.