Groundwater is a respected and significant natural resource in the world and it is the mostrnfundamental for the growth and development of one country. However, estimating the potentialrnof groundwater potential zone has still uncertainty due to the natural surroundings ofrngroundwater. Therefore, this study aims to use the timely and cost effective remote sensing andrngeographical information system (GIS) methods for allocating, classify groundwater prospectrnzone in the Enderta District. To prepare GWPZAM use eight factors as a thematic map derivedrnfrom Landsat 8 Operational Land Imager (OLI) Satellite image of the year 2016, SRTM DigitalrnElevation Models (DEM) with 30 m spatial resolution and secondary sources were utilized inrnthis research. These were rainfall, slope, geomorphology, lithology, lineament density, drainagerndensity, and Land-use/land-cover and soil texture. The methods to assess the identification ofrngroundwater potential zone was using weight overlay analysis and Analytical Hierarchy Processrn(AHP) algorithm. All thematic layers were reclassified knowledge-based analysis that wasrnreviewed from different kinds of literature. Then the weight for each factor was assignedrnrendering to their relative significance as per suitable based on Saaty's scale of AHP. Thernimportant factors result show that rainfall and slope have a higher weight and lithology has thernlowest weight for identifying the possible of groundwater potential zone in the study area,rnrespectively. The GIS method output results were validated by conducting field survey byrnrandomly selecting wells in different places using GPS instruments. Coordinates of each of thernwell locations were obtained and plotted in the database. The spatial variation of the potentialrnzones indicates that groundwater occurrence is controlled by structures, landforms and slope.