Infrared reflectance spectra of particulate mixtures

Details Infrared reflectance spectra of particulate mixtures Infrared reflectance spectra of particulate mixtures

Jun 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010jgre..11506003f&link_type=abstract

Journal of Geophysical Research, Volume 115, Issue E6, CiteID E06003

Physics

Planetary Sciences: Solid Surface Planets: Physical Properties Of Materials, Planetary Sciences: Solid Surface Planets: Surface Materials And Properties

Scientific paper

In this work we report the main results of a laboratory test program aimed to check the spectral behavior of several mixtures of particulate samples. The chosen spectral interval is from 2.5 to 25.0 μm since it is the range where many minerals have their characteristic features and it is important for the interpretation of remote sensing spectra of planetary surfaces. The present study uses directional hemispherical reflectance spectra of three particulate minerals (dolomite, olivine, and quartz), with different grain sizes (ranging from 1 to 300 μm), and of their mixtures. It was found that, in the spectral range between 2.5 μm and the Christiansen feature, the reflectance of the mixtures is a nonlinear combination of the reflectance of the single pure materials, in agreement with the results found at shorter wavelength and reported in the literature. Our experimental results also confirm that, for longer wavelength, the reflectance of the mixtures is a linear combination of the reflectance of the single pure minerals. In this work, after checking some important simplifying hypotheses, we show that the mixture spectra cannot be always accurately reproduced using the volume percentage of each component, but it has a complicate behavior requiring a careful evaluation of all the parameters involved in the process. In particular we have determined experimentally the penetration depth of the radiation at different wavelengths in some of the mixtures. In this way we have been able to address the important issue of the influence of surface composition on the observed spectra.

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