Accurate soil moisture retrieval is very important for understanding and solving scientific and practical problems in agricultural production, ecological planning, and water resources management. At present, a large number of inversion algorithms are widely used in soil moisture estimation, and global soil moisture remote sensing inversion products are constantly published, but inversion algorithms and the application prospects of product datasets need to be systematically combed. Soil moisture retrieval methods based on remote sensing technology in different spectral ranges have their own characteristics, advantages, and limitations. In addition to inversion methods, the research hotspots of remote sensing inversion of soil moisture can be summarized into three aspects: evaluation of remote sensing soil moisture products, application in related fields, and data assimilation. A large number of studies show that remote sensing inversion products for soil moisture have shown great potential in ecological, hydrological, drought, and other research, and have been applied in some research. However, there is still a gap between the remote sensing observations and application in soil moisture. Thus, this paper finally summarizes and forecasts the precision and accuracy of Soil Moisture Remote Sensing Inversion and its solutions.