 This paper reviews the current state of spatiotemporal data fusion methods used in remote sensing. It categorizes existing methods according to their underlying principles and discusses their potential applications. The authors also propose directions for future research in this area. This article was authored by Xiaolin Zhu, Fanyi Kai, Jiechi Tian, and others.