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Global mapping of lunar refractory elements: multivariate regression vs. machine learning
DOI: 10.1051/0004-6361/201935773 Bibcode: 2019A&A...627A.155B

Wöhler, C.; Grumpe, A.; Bhatt, M. +2 more

Context. The quantitative estimation of elemental concentrations at the spatial resolution of hyperspectral near-infrared (NIR) images of the lunar surface is an important tool for understanding the processes relevant for the origin and evolution of the Moon.
Aims: We aim to map the abundances of the elements Fe, Ca, and Mg at a typical accur…

2019 Astronomy and Astrophysics
Chandrayaan-1 17
Detection of an excessively strong 3-µm absorption near the lunar highland crater Dufay
DOI: 10.1051/0004-6361/201935927 Bibcode: 2019A&A...630L...7W

Wöhler, C.; Grumpe, A.; Bhatt, M. +3 more

Using the near-infrared spectral reflectance data of the Chandrayaan-1 Moon Mineralogy Mapper (M3) instrument, we report an unusually bright structure of 30 × 60 km2 on the lunar equatorial farside near crater Dufay. At this location, the 3-µm absorption band feature, which is commonly ascribed to hydroxyl (OH) and/or w…

2019 Astronomy and Astrophysics
Chandrayaan-1 2