Spectral Unmixing of Aluminum-Rich Clay Minerals with Radiative Transfer Models and Its Implications for Martian Remote Sensing
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摘要: 火星全球风化剖面中,铝粘土矿物如高岭石与蒙脱石比例的变化反映了化学风化强度与气候条件的差异。因此,准确估算铝粘土矿物的含量对于重建火星古气候与宜居环境具有重要意义。光谱解混作为矿物丰度反演的重要手段,但受限于地面实验验证不足,尤其缺乏对具有相似光谱特征的矿物混合体系的系统评估,解混方法的适用性与反演精度仍不明确。为此,本文使用实验室获取的高岭石-蒙脱石和高岭石-蛋白石两组共12条混合光谱,采用行星表面光谱反演最常用的两种辐射传输模型(Hapke模型与Shkuratov模型)开展光谱解混研究。实验结果显示,Shkuratov模型在7条混合光谱中丰度反演误差低于10%,2条在10%~20%;Hapke模型仅有3条丰度反演误差低于10%,7条在10%~20%,表明Shkuratov模型整体精度优于Hapke模型。本研究为火星铝粘土的光谱定量反演提供了方法验证,也为更复杂的含水矿物混合体系提供了模型参考。Abstract: The relative abundances of aluminum-rich clay minerals such as kaolinite and montmorillonite in Martian weathering profiles reflect variations in chemical weathering intensity and paleoclimatic conditions. Accurate quantification of these minerals is essential for reconstructing early Martian environments and evaluating their potential habitability. Spectral unmixing provides a powerful means to retrieve mineral abundances, yet its accuracy remains uncertain due to limited laboratory validation, particularly for hydrated mineral mixtures with overlapping absorption features. In this study, two sets of laboratory-prepared mixtures (kaolinite–montmorillonite and kaolinite–opal, comprising 12 spectra) were analyzed using two widely applied radiative transfer models for planetary spectroscopy, the Hapke model and the Shkuratov model. The results show that the Shkuratov model achieved abundance errors below 10% in seven samples and between 10–20% in two samples, while the Hapke model produced only three samples below 10% and seven between 10–20%. Overall, the Shkuratov model demonstrated higher inversion accuracy. This work provides an experimental validation framework for quantitative spectral unmixing of Martian aluminum clays and offers methodological guidance for analyzing more complex hydrated mineral mixtures in future study.
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Key words:
- Spectral Unmixing /
- Hydrated Minerals /
- Radiative Transfer Model /
- Mars
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