[Objective] Rainfall erosivity is an important index to evaluate soil erosion, to solve the problems of spatial differentiation and poor accuracy in estimating rainfall erosivity by meteorological stations and satellite precipitation products. [Methods] This research developed a station-satellite fusion calculation method of rainfall erosivity based on the rainfall data of 96 meteorological stations and precipitation products of GPM IMERG and ERA5. The rainfall erosivity of Jiangsu Province from 2001 to 2023 was reconstructed, and its erosivity density and prone area division were further studied. [Results]① This method was reliable because the fusion rainfall erosivity had a higher correlation coefficient, lower deviation, and lower root mean square error compared with rainfall erosivity calculated by satellite and station. This method will capture the high value of rainfall erosivity and reduce uncertainty and error. ② The mean annual rainfall erosivity in Jiangsu Province from 2001 to 2023 was 4709.39 MJ·mm/(hm2·h·a) and the spatial distribution was low in the north and high in the south. Seasonal rainfall ?erosivity was obviously different: more in summer and less in winter, and the same in spring and autumn. ③ The annual rainfall erosivity in Jiangsu Province showed an increasing trend from 2001 to 2023. The climate tendency rate showed a significant increasing trend in the south of Jiangsu Province and an insignificant decreasing trend in the north in spring and summer, which was the opposite in winter. ④ The annual erosivity density of Jiangsu Province was 4.96 MJ/(hm2·h), and the spatial distribution was high in the north and low in the south. The most vulnerable areas of rainfall erosivity were the east of Xuzhou, the north of Lianyungang, the west of Zhenjiang and the northern part of Nanjing. The less vulnerable areas were Yangzhou, Taizhou and the eastern part of Nantong. [Conclusion] The research can provide scientific basis for regional rainfall erosion prediction, soil loss prevention and soil and water conservation measures.