Hydrology plays a vital role in protection and management of water above and below the ground surface. Rainfall runoff is important component contributing significantly to the hydrological cycle. In India, the availability of accurate information on runoff is scarcely available at few selected sites. Therefore, estimation of runoff is needed for water resource planning, environmental impact analysis and for effective management of a watershed. In this present study, integration of remote sensing data of Sudha watershed area of Indrayani Sub-basin and application of the SCS CN model in a GIS environment has helped us to provide a powerful tool for estimation of runoff at the selected site. RS and GIS were effectively used to manage spatial and non-spatial data base that represent the hydrologic characteristics of a watershed. The land use and land cover map, soil map, rainfall data were collected from different sources and processes. The Soil Conservation Service Curve Number (SCS – CN) method were used to estimate runoff. It is simple, predictable and stable conceptual method. It combines the watershed parameters and climatic factor in one entity called the curve number P. The present study were successfully demonstrated an integrated remote sensing and GIS technique to suggest the suitable zone for future artificial recharge structures in the Sudha River sub watershed in Indrayani river basin.