Remote sensing has been studied by many scientists and engineers today. Ground station data are stationary and there is insufficient data in large areas and difficult areas. But satellite data can be used for all regions. In this study, the precipitation data of four synoptic stations in Gamasiab basin are compared with the precipitation data of CHRIPS, ERA5, PERSIAN_CDR, GPM, GSM, TRMM, TERRA satellites. The results show that although CHRIPS satellite had a lower value of false alarm rate and relative deviation in the probabilistic criteria and PERSIAN and GSM have a higher probability of detection, but considering all the criteria, for Harsin and Kangavar stations, TERRA satellite with higher correlation coefficient and Pierce correlation coefficient and the lower the value in the error criteria and the better probability criteria, had the more accurate the estimate. ERA5 satellite also had the best estimate for Sararud and Songhor stations.This satellite has estimated the maximum precipitation at Sararud and Songhor stations, which was 351.7 and 147.9 mm, respectively, with a decrease of 178 and 155 mm by 49 and 5%, respectively.