Abstract : The problem of interpolation of images is defined as-given two images at time t = 0 and t = T, one must find the series of images for the intermediate time. This problem is not well posed, in the sense that without further constraints, there are many possible solutions. However, restricting the domain of application allows us to choose the 'right' solution. We thus focus on the interpolation problem from the perspective of geoscience and remote sensing. One approach to obtain a solution to image interpolation problem is with the use of operators from Mathematical Morphology (MM). These operators have an advantage of preserving structures since the operators are defined on sets. In this work we review and consolidate existing solutions to the image interpolation problem from the perspective of geoscience and remote sensing. We also summarize several possible extensions and prospective problems of current interest.