Mapping landforms on the Moon is of great interest and importance for future human settlements and resources exploration. One of the first steps is to map their topography and investigate their shape and geometry in great detail and resolution, which would provide the first conditions for assessing their suitability for future on-site analysis. However, data from the Lunar Orbiter Laser Altimeter (LOLA) provide low resolution elevation maps in comparison to the size of detailed geological features. To improve resolution, we developed an inverse method to upscale topographic maps to a higher resolution constraining with photographic data from the Lunar Reconnaissance Orbiter Camera (LROC). The method, which exploits the relation between topographic gradients and degrees of shading of incoming sunlight, shows an improvement of the order of 70 times or more, bringing it to the same resolution as the optical images from LROC, and it is also potentially a way to remove shades from features such as caves. It was also possible to estimate the error of the model, considering uncertainties in the albedo. The reconstructed maps provide a remote and cheap alternative to better investigate regions of interest on planetary bodies in greater details without the aid of new and expensive engineering feats.