Surface Reflectance Data for Mapping Lunar Swirls Using Machine Learning

Final surface reflectance data at 2.6 m/pixel resolution with floating point values (i.e., data with decimals) are available in two formats, GeoTiff and ASCII text files. See README file for further details. Data used in the research article: Chuang, F.C., M.D. Richardson, J.R. Weirich, A.A. Sickafoose, and D.L. Domingue, 2022. Mapping Lunar Swirls with Machine Learning: The Application of Unsupervised and Supervised Image Classification Algorithms in Reiner Gamma and Mare Ingenii. The Planetary Science Journal, 3:231. doi://10.3847/PSJ/ac8f4