Spatiotemporal image fusion methods, called also spatiotemporal downscaling methods, represent an efficient solution to generate fine-scale images at a high temporal resolution for more detailed land cover mapping and monitoring applications. Spatiotemporal image fusion methods can be classified into three categories: (1) reconstruction-based , (2) unmixing based and (3) learning-based methods.