 This study evaluated the applicability of three satellite rainfall data sets, CMRPH, GPM, and TRM, for predicting floods and landslides in Shaanxi Province, China. The study found that the three data sets provided similar spatial distributions of annual rainfall, with the lowest being CMRPH and the highest being TRMM. The three data sets also produced similar discharge predictions at four hydrological stations, with the highest correlation coefficient being 0.61 for TRMM. Additionally, the three data sets had high accuracy in predicting landslide events, with the highest accuracy being 0.973 for GPM. Finally, the three data sets provided similar results when compared to the classical intensity duration, i.e., rainfall threshold method. Overall, this study suggests that the three satellite rainfall data sets can be used to accurately predict flooding and landsliding in Shaanxi Province. This article was authored by Shang Wang, Kuzheng, Li Junchao, and others. We are article.tv, links in the description below.