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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.
DOI: 10.5194/egusphere-egu21-16141 Bibcode: 2021EGUGA..2316141D

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…

2021 EGU General Assembly Conference Abstracts
SMART-1 0
Geological context of recent Lunar landing sites using Multispectral analysis.
DOI: 10.5194/egusphere-egu21-16055 Bibcode: 2021EGUGA..2316055M

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 …

2021 EGU General Assembly Conference Abstracts
SMART-1 0
Report from ILEWG Task Groups: Science, Technology, human aspects, roadmaps, socio-economics, young lunar explorers, MoonVillage, MoonMars synergies, EuroMoonMars, ArtMoonMars
DOI: 10.5194/egusphere-egu2020-22025 Bibcode: 2020EGUGA..2222025F

Foing, Bernard

ILEWG has been organising since 1994 ICEUM International Conferences on Exploration & Utilisation of the Moon with published proceedings, and where community declarations have been prepared and endorsed by community participants. ILEWG has co-organised and co-sponsored lunar sessions at EGU, COSPAR, EPSC.ILEWG task groups include science, tech…

2020 EGU General Assembly Conference Abstracts
Chandrayaan-1 SMART-1 0
Numerical simulation of ion reflection by lunar crustal magnetic fields
DOI: 10.5194/egusphere-egu2020-18137 Bibcode: 2020EGUGA..2218137D

Divin, Andrey; Deca, Jan; Lue, Charles +1 more

We investigate the dynamics of solar wind - Moon interaction by means of large-scale Particle-in-Cell (PIC) simulations in this study. Implicit moment PIC method and open boundaries are implemented in the code (iPIC3D) allowing to use large-scale domains in three dimensions. Even though the Moon has no global dipolar magnetic field, satellite magn…

2020 EGU General Assembly Conference Abstracts
Chandrayaan-1 0
Particle Induced X-ray Emission at Mercury and the Moon.
DOI: 10.5194/egusphere-egu2020-18423 Bibcode: 2020EGUGA..2218423G

Grande, Manuel; Cooper, Rose

Mercury and the Moon are examples of terrestrial bodies which lack an atmosphere and therefore have surfaces which interact directly with the space environment. Thus the surfaces can be reprocessed by plasma impact, and in the process can emit X-rays via the Particle Induced X-ray Emission (PIXE) process. We will present and review existing measur…

2020 EGU General Assembly Conference Abstracts
Chandrayaan-1 SMART-1 0