Surface runoff is an important component contributing significantly to the hydrological cycle, design of hydrological structures and morphology of the drainage system. Due to advancement in computational power and growing availability of geographical data, predicting the surface runoff has become more accurate. The Soil Conservation Service - Curve Number (SCS-CN, 1985) method is a versatile and universally accepted approach for quick and accurate runoff estimation. The advance application of Remote Sensing (RS) and Geographic Information System (GIS) techniques lends to estimate surface runoff based on different parameters. The study area, Mehsana district watershed area, is a water scarce semi arid region. The daily rainfall data was collected and used to forecast the daily runoff using SCS-CN method and GIS. IRS P6 LISS III satellite data was visually interpreted for the identification of different geomorphologic features and land uses in the study area. The present research is mainly intended to evaluate different rainfall-runoff characteristics on agricultural watershed area. The result indicates that the minimum and maximum value of yearly average runoff is 20 mm and 307 mm respectively. The analysis shows that the variation in runoff potential depends on various important properties of watershed i.e. land use, antecedent soil moisture conditions, soil permeability etc. The research reveals that the coarse textured soil of the study area is enhancing soil permeability, which generates less runoff. The developed rainfall-runoff model can be used to recognize the watershed and its runoff flow pattern integrating with remote sensing and GIS application.