Bridging from MESSENGER to BepiColombo - surface composition from visual and near-infrared observations and simulation of thermal infrared data

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Scientific paper

Retrieving information about the surface composition of Mercury from visual or infrared remote sensing data is a challenging task. Apart from observational difficulties, the high temperatures on the surface of Mercury affect the spectral characteristics of the constituent minerals. In order to address the latter issue we have used measurements of spectra of thermally cycled minerals taken at DLR's Planetary Emissivity Laboratory to analyze spectral reflectance data obtained during the first two Mercury flybys of Mercury by the MESSENGER spacecraft. Here we use the retrieved compositions to simulate spectra at mid-infrared wavelengths for comparison with future observations by the ESA BepiColombo mission and with ground-based observations.

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