Hapke mixture modeling applied to VNIR spectra of mafic mineral mixtures and shergottites: Implications for quantitative analysis of satellite data

Hapke mixture modeling applied to VNIR spectra of mafic mineral mixtures and shergottites: Implications for quantitative analysis of satellite data
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Hapke 混合物模型应用于镁铁质矿物混合物和镁铁矿的 VNIR 光谱:对卫星数据定量分析的影响

DOI:
10.1111/maps.13065
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发表时间:
2018
影响因子:
2.2
通讯作者:
Harris J
Harris J
中科院分区:
地球科学3区
文献类型:
--
作者:
Harris J

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由于卫星数据,火星的矿物学在全球范围内得到了很好的定性理解。可见光和近红外(VNIR)卫星数据的定量分析是一项理想但不平凡的任务,部分原因是火星表面矿物混合物的VNIR反射光谱的非线性。在这项研究中,我们研究了使用的Hapke辐射传输模型,以产生线性混合的单次散射的非线性混合VNIR反射率数据,然后定量分析它们使用线性光谱混合模型。对Hapke方程的简化进行了测试,考虑到使用卫星数据时未知的变量。矿物混合物光谱从RELAB光谱库被降级,以测试的鲁棒性的unmixing技术在面对的数据,模仿一些复杂的卫星光谱数据收集在火星上。最后的测试是对shergottite陨石的光谱进行的,以评估该技术对真实的火星矿物混合物的影响。简化的Hapke程序产生了强大的丰度估计在5-10%的准确度时,适用于实验室标准光谱的合成混合物的火成岩矿物与以前的研究一致。然而,涉及退化数据以模拟火星表面的低光谱对比度和缺乏组成矿物光谱端元的先验知识的测试结果不太令人鼓舞,丰度估计的误差大于25%。这些结果对Hapke分解用于火星表面VNIR数据定量分析的实用性提出了质疑。
The mineralogy of Mars is well understood on a qualitative level at a global scale due to satellite data. Quantitative analysis of visible and near‐infrared (VNIR) satellite data is a desirable but nontrivial task, due partly to the nonlinearity of VNIR reflectance spectra from the mineral mixtures of the Martian surface. In this study, we investigated the use of the Hapke radiative transfer model to generate linearly mixed single scattering albedo data from nonlinearly mixed VNIR reflectance data and then quantitatively analyzed them using the linear spectral mixture model. Simplifications to the Hapke equation were tested accounting for variables that would be unknown when using satellite data. Mineral mixture spectra from the RELAB spectral library were degraded to test the robustness of the unmixing technique in the face of data that mimic some of the complexities of satellite spectral data collected at Mars. A final test was performed on spectra from shergottite meteorites to assess the technique against real Martian mineral mixtures. The simplified Hapke routine produced robust abundance estimates within 5–10% accuracy when applied to laboratory standard spectra from the synthetic mixtures of igneous minerals in agreement with previous studies. The results of tests involving degraded data to mimic the low spectral contrast of the Martian surface and the lack of a priori knowledge of the constituent mineral spectral endmembers, however, were less encouraging, with errors in abundance estimation greater than 25%. These results cast doubt on the utility of Hapke unmixing for the quantitative analysis of VNIR data of the surface of Mars.
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