This project explores lunar surface slope mapping through remote sensing data from NASA’s Lunar Reconnaissance Orbiter mission. The work focuses on visualizing slope variation across the Moon at 16 m/pixel resolution, using a slope-degree raster map to identify terrain steepness, crater rims, basin margins, high-relief zones, and smoother mare-like regions. The study also reviews the LRO sensor suite, including LROC for high-resolution imaging, LOLA for elevation and topographic mapping, Diviner for thermal analysis, Mini-RF for surface texture and ice-related investigations, and additional instruments for radiation, frost, and hydrogen detection. The final map translates raw lunar terrain information into a clear geospatial product, combining planetary remote sensing, slope analysis, cartographic layout, and scientific visualization for lunar surface interpretation.