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Machine Learning applied to Lunar Data to Characterize Potential Sites for Future Science, Mobile Exploration, Utilization, lunar Bases and Moon Villages.

Foing, Bernard; den Heijer, Daniël

The lunar south pole is of particular interest to researchers because of its unique geographical features. It contains craters where the near-constant sunlight does not reach the interior. These craters are of enormous importance in the process of human exploration of the moon.This research aims to develop an identification algorithm applied to LR…

Geological context of recent Lunar landing sites using Multispectral analysis.

Foing, Bernard; Mcilquham, Jourdain; Borst, Anouk M. +1 more

Geological context of recent lunar landing sites using multispectral analysis. (Mcilquham J, Borst A, Allender E and Foing B)The Moon Mineralogy Mapper (M3) was a guest instrument aboard the Chandrayaan-1 mission. The instrument collected spectral data, ranging from 430 nm to 3000 nm at an average resolution of 140 m/pixel. This research utilises …