Planetary Regolith Surface Analogs and Mesoscale Topography: Optimized Determination of Hapke Parameters Using Multi-Angular Spectro-Imaging Laboratory Data

Mathematics – Logic

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Planetary Surfaces, Spectral Reflectance, Computerized Simulation, Genetic Algorithms, Soils, Angular Resolution, Grain Size, Mineralogy, Topography

Scientific paper

Reflectance spectroscopy is now a tool widely used for remote sensing applications, both in planetary and terrestrial observation. Among the large number of possibilities offered by this technique, the investigation of the surface mineralogy of a target is often explored. However, with the considerable increase of the spatial resolution of optical experiments on and near the planetary surfaces, it becomes more and more important to understand the physics that control the light interaction process with soils, in order to better interpret the physical (nature, texture, surface roughness, maturity, degree of cristallinity) and mineralogical properties of the surface at subpixel scale. Over the years, a number of semi-empirical models have been developed for analyzing the bidirectional reflectance of particulate surfaces on the basis of the scattering and absorption properties of minerals and rocks. In particular, Hapke developed an approximate analytical solution, which provides a description of the photometric behavior in terms of physically meaningful parameters. This work uses a method, founded on a genetic algorithm, for a determination of the global set of parameters involved in Hapke's model for planetary surface analogs when dealing with a set of angular conditions representative of the usual range of observation in planetary exploration for spaceborne optical instruments.

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