Groundwater demand is rising exponentially due to several factors contrary to this groundwater assessment and evaluation in Ethiopia is preliminarily conducted through conventional hydrogeological and geophysical resistivity surveys however; such methods are well known by high time and capital demanding. Remote sensing specifically, RADAR and optical remote sensing imageries are helpful for predicting potential groundwater zones. Therefore, an attempt was made to test the application of integrated RADAR and optical remote sensing imageries with other existing data, GIS technology, and the AHP technique for potential groundwater zones mapping in the Gidabo watershed, Ethiopia. Sentinel-1A SAR microwave and sentinel-2A optical remote sensing imageries, DEM, geological map, and soil type data were used to extract criteria thematic layers influencing groundwater occurrence. A total of nine criteria thematic layers, such as LULC, slope, elevation, soil moisture, soil texture, lineament density, geology, rainfall, and drainage density factors, were selected as major governing factors for the predictive mapping of potential groundwater zones. Since all factors have no equal influence on groundwater occurrence, weight assessment is performed using a multi-criteria decision analysis based on the AHP technique. These selected and prepared thematic layers are reclassified based on standard criteria; and aggregated using the weighted overlay technique in the spatial domain of ArcGIS environment. The aggregated result shows that; the identified groundwater potential zones of the study area are very low (0.006%), low (14.951%), moderate (60.188%), and high (24.856%). A total of 135 water point inventory data of boreholes and springs with variable yield have been used for result validation. The points are overlaid on and coincide over different groundwater potential zones, and resulted in 0.91 correlations or 91.11% accuracy. Based on the results of the study, integrated optical and RADAR remote sensing with GIS techniques are very efficient, practical, timely, and cost-effective for monitoring and assessing potential groundwater zones. Finally, the study suggested that future studies on potential groundwater zone mapping should incorporate knowledge from other scientific disciplines and employ field data for validation to enhance the accuracy of the result.