
The lunar surface represents a platform for investigating planetary evolution, technological innovation, and potential extraterrestrial resource utilization. This study presents a high-resolution geospatial distribution mapping of the transition metals iron (Fe), titanium (Ti), and chromium (Cr) within Dryden Crater, utilizing advanced hyperspectral remote sensing methodologies. Our research integrates hyperspectral data from NASA's Moon Mineralogy Mapper (M3) imaging spectrometer, deployed on the Chandrayaan-1 mission, in conjunction with the lunar digital elevation model (SLDEM2015) topographical dataset from the Lunar Orbiter Laser Altimeter (LOLA) and SELenological and Engineering Explorer (SELENE) Kaguya Terrain camera. Employing sophisticated spectral indexing techniques and RGB compositional analysis, we conducted a comprehensive quantitative assessment of transition metal distributions. The resultant geochemical map delineates precise spatial boundaries and concentration gradients of Fe, Ti, and Cr within the lunar crater's geological context. Our interdisciplinary approach demonstrates the efficacy of integrated international scientific collaboration through open data policy, leveraging advanced spectroscopic techniques to unravel the complex geochemical landscape of lunar surface environments. This research contributes to our understanding of planetary geological processes and potential extraterrestrial resource exploitation strategies.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
