Groundwater is a precious resource with limited extent. In many parts of the world rapid growth in population, agriculture sector and industrialization have increased the demand for ground water. With the increasing use of water for various activities, ground water declines at an accelerated rate. In order to prevent the fast depletion of ground water levels, artificial recharge is required. Various artificial recharge and water harvesting structures are required to allow the movement of rainwater from the catchment surface into the underground formations. Selection of suitable sites for artificial recharge and water harvesting structures needs a large volume of multidisciplinary data from various sources. The main objective of the present study is to identify the suitable sites for artificial recharge of ground water in Dudhganga basin of Maharashtra. Integration of remotely sensed data and field survey data on a GIS platform provides convergent analysis of diverse data sets for decision making in ground water management. For the present investigation Landsat 5 Satellite image of ETM+ sensor is used to assess land use/ land cover conditions by supervised classification technique. In conjunction with that SRTM dataset is used to evaluate the slope conditions. Strahler's method of stream ordering has been applied to assess fluvial morphometry. Buffer analysis has been carried out to analyse proximity conditions. The integrated effect of all the parameters is evaluated by applying weighted intersect overlay technique of GIS to find suitable sites for artificial ground water recharge. The analysis reveals that forty two sites are suitable for check dams and eighteen sites for percolation tanks in the study region.