Abstract: To address the problem of difficulty in obtaining soil moisture content data in no data areas, we proposed a combination scheme based on satellite inversion, phase space reconstruction, and unsaturated infiltration calculation.Based on the soil moisture content of the 110-day surface layer in the study area, the distribution law of soil moisture content of the surface layer and internal part in the next 100-day no data period was predicted.The calculation results show that the time series of soil moisture content in the study area has chaotic characteristics, which can be topologically stretched to a phase space with embedding dimension m of 5 and delay τ of 10.The minimum relative error of the soil surface moisture content predicted by this phase space during the validation period is 0.7%,the maximum relative error is 2.4%,the minimum relative error during the prediction period is 2.2%,and the maximum relative error is 8.3%,all of which meet the engineering requirements.Therefore, it is used as the boundary condition for subsequent unsaturated infiltration calculation, and the result is realistic and effective.Compared with traditional studies, the prediction scheme proposed in this paper has dynamical characteristics and physical-mechanical meanings, which can provide a new reference for soil moisture content estimation in no data areas.