The calculation of the water balance components in the catchment and wetlands area is one of the fundamental concerns of water resource researchers. Accurate measurement of precipitation,as a key element of water balance, is essential but difficult due to high tempo- spatial variability and lack of adequate ground stations in regional scale. The current study region, Jazmourian wetland located in Jazmuiran catchment, despite of large area, lacks meteorological stations. Advancements in remote sensing and radar technologies have brought numerous rainfall datasets that can be used to assess precipitation patterns in the region with in adequate observations. In this study, four widely used rainfall datasets, including GPM, CHIRPS, PERSIANN-CDR, and TRMM, were examined to evaluate the accuracy of precipitation estimates in the Jazmurian wetland. The results of the satellite data accuracy at 70 surrounding ground stations in Jazmurian catchment were evaluated using R-squared, NRMSE, RMSE, Rp, MAE and MBE statistics. The results of the comparison showed that in the studied stations, the average values of Rp coefficient varied between 0.7 and 0.81, the R-squared coefficient between 0.51 and 0.65, the NRMSE coefficient between 10.56 and 12.87, the RMSE coefficient between 18.03 and 22.98, the MAE coefficient between 9.31 and 11.14 and the MBE[N1] coefficient between -0.18 and 0.64. Also, based on the Rp and R-squared statistics, the GPM precipitation data showed the best performance, followed by the TRMM data. The study results revelead that the precipitation data from CHIRPS and PERSIANN-CD have acceptable accuracy. An overestimation by all RS datasets comparing to interpolated ground data of station within the Jazmurian catchment was observed.