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Classification of surface composition on the surface of Mercury

Short description

Data returned from space missions has grown immensely in the last decade. Our goal is to understand the composition and evolution of planetary surfaces. We plan to extract the underlying information from this huge data set using unsupervsed classification spectral data, chemical composition, and ages from the surface of Mercury.

Aim of the science case

On the one hand, we would like to have an assessment if current remote sensing data from NASA/MESSENGER could resolve different surface regions of Mercury an ideas on the potential of upcoming ESA/BepiColombo mission for improvement. The ultimate goal would be to have a classifciation of Mercury's surface regions with uncertainty assessments, matching with laboratory measurements.

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science_cases/dlr_science_case.1606483539.txt.gz · Last modified: 2020/11/27 14:25 by admin