Currently available high resolution lunar maps are 5 m/pixel. These products are derived from LOLA data (https://pgda.gsfc.nasa.gov/products/78). The goal of this project was to take the source data and generate an accurate, higher resolution version of the elevation maps. This should be done for a small region of high interest for future human lunar landing. NASA has established a set of landing locations for evaluation(https://www.nasa.gov/news-release/nasa-identifies-candidate-regions-for-landing-next-americans-on-moon/). The pipeline created should be capable of repeating the same work with additional lunar regions of interest, if successful.

Potential use cases for this higher resolution data product include servings as training data sets for neural nets and other algorithms that require lunar maps as inputs. This includes terrain relative navigation, hazard detection and avoidance, crater navigation, simulation visualization, and other tool sets. This work has the potential to positively impact any mission that lands on the Moon, operates on the Moon, or uses the Moon for navigation. This includes CLPS, HLS, Gateway, and EHP. An additional potential use case is the broad availability of lunar terrain data sets for use in academic/university navigation R&D.