Aim at the frequent soil drought disasters and the limited monitoring area of ground soil moisture monitoring stations in Henan Province, the meteorological drought index and remote sensing monitoring model were combined to predict soil drought. It was based on the standardized precipitation evapotranspiration index calculated by meteorological data from 2012 to 2021, and the drought monitoring effects of four indices of commonly used remote sensing models, namely crop water scarcity index, vegetation supply water index, temperature vegetation drought index and vegetation temperature condition index were evaluated. Taking 2019 as a typical drought year, the differences among the four indices were compared, and the spatial distribution and change trend of TVDI in Henan Province from 2012 to 2021 were analyzed. Finally, ARIMA model was used to predict soil drought in 2022. The results showed that the research results of CWSI, VSWI and VTCI were different from the actual results. Only the TVDI value was consistent with the change trend of soil moisture recorded in the field, and showed an increasing trend with time in the northwest, central and northern parts of Henan Province. The spatial evolution results showed that the coverage pixels of arid areas in 2019 accounted for 76%, which accounted for the largest proportion in this decade, and the soil moisture predicted by the ARIMA model in 2022 was consistent with the reality. On the basis of soil drought prediction, it can provide reference for the precise management of agricultural production in Henan Province.