CRESENT-365

CRESENT-365 was first introduced in the paper “AI-enabled crater-based navigation for lunar mapping” in Astrodynamics (2026). Overview: This dataset contains images produced by Adelaide University using PANGU Planet Surface Simulation Software developed by the Space Technology Centre at the University of Dundee, Scotland. CRESENT-365 is the first public dataset that emulates a year-long lunar mapping mission. Each of its 15,283 images is rendered from high-resolution digital elevation models with SPICE-derived Sun angles and Moon motion, delivering realistic global coverage, illumination cycles, and viewing geometries. The images were rendered in PANGU with high-resolution lunar DEMs from the PDS data. How to cite: Users of this dataset are requested to cite the following paper. Reference String McLeod, S. et al. AI-enabled crater-based navigation for lunar mapping in Astrodynamics (Apr 2026) Bibtex @article{mcleod2026ai, title = {AI-enabled crater-based navigation for lunar mapping}, author = {McLeod, Sofia and Chng, Chee-Kheng and Rodda, Matthew and Chin, Tat-Jun}, journal = {Astrodynamics}, year = {2026}, doi = {10.1007/s42064-025-0294-0}, url = {https://doi.org/10.1007/s42064-025-0294-0}} DISCLAIMER: This dataset is licensed under the Creative Commons Attribution Non Commercial 4.0 International, which allows for free use in academic and research contexts. If you intend to use this code for commercial purposes, including a space mission, please contact us to obtain the appropriate licensing.