Runoff is one of the important parameters in hydrologic cycle and water resources management of basins. In this research, Remote Sensing (RS) and Geographic Information System (GIS) techniques were used for runoff potential estimation in Khosro-Abad watershed, located in the Hamedan region. In this regard, first, the various thematic maps layers such as Digital Elevation Model (DEM), land use and land cover, slope, soil hydrologic groups and sub-basins location were prepared. Then, based on the prepared thematic layers, a weighting method was developed to runoff potential estimation of the area. To spatial runoff variability investigating, the classifieds estimated runoff potential (low, medium, high and extreme classes) was evaluated using the SCS method. The SCS method was estimated based on three previous soil moisture conditions (dry, normal and wet). The results showed that the weighting method is enable to runoff potential estimation. This method can be proposed for runoff potential estimation especially in the cases that the needed data were missed. The results also showed that with the previous soil moisture increasing (from dry to wet conditions), the CN increase about 30%.