To evaluate the applicability of reanalysis and satellite-derived precipitation data in the Yangtze River Basin, ground-based meteorological station observations were used as a reference. This study employed evaluation metrics such as correlation coefficient, root mean square error, relative bias, probability of detection, false alarm rate, and critical success index to compare the daily-scale applicability of ERA5-Land reanalysis precipitation data and IMERG-Final satellite-derived precipitation data in the region. The results indicate that compared to IMERG-Final, ERA5-Land performs poorly in the upstream plateau areas of the Yangtze River Basin, primarily due to significant overestimation of precipitation intensity and a higher false alarm rate. In the middle and lower reaches of the Yangtze River Basin, both ERA5-Land and IMERG-Final have their respective strengths and weaknesses. While ERA5-Land generally exhibits superior overall capability in capturing precipitation events, its ability to simulate precipitation intensity is weaker than that of IMERG-Final. During winter, ERA5-Land significantly outperforms IMERG-Final in detecting precipitation events and shows stronger correlation with ground-based meteorological observations. Conversely, IMERG-Final demonstrates much higher accuracy than ERA5-Land in summer, indicating that satellite-derived methods are more reliable than reanalysis-based methods for estimating precipitation during seasons with higher precipitation intensity.