Reflectance Spectra of Five-Component Mineral Mixtures: Implications for Mixture Modeling

Mathematics – Logic

Scientific paper

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Reflectance Spectra, Remote Sensing, Soil, Spectral Mixture Analysis, Surfaces: Planetary

Scientific paper

The surfaces of the terrestrial planets consist largely of particulate materials, or soils, whose compositions and particle size distributions are products of geologic processes. The reflectance spectrum of a particulate surface represents a systematic combination of the mineralogy and particle size distribution of the material. Both composition and grain size information are useful in geologic interpretation of a surface, but are convolved in a single reflectance spectrum. We used spectral mixture analysis to separate these parameters by modeling the reflectance of five-component laboratory soils which vary in grain size. We find that successful prediction of endmember compositions requires some knowledge of grain size distribution, and that the fine particles dominate the mixed spectrum in excess of volume fractions and intimate mixture model predictions.

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