Abstarct: The method of Ground Penetrating Radar (GPR) is one of high resolution geophysical methods that use high frequency electromagnetic waves for detection of shallow subsurface targets. Subsurface waters and buried pipes have a good contrast in their electromagnetic properties with surrounding media. In this study, we have focused on processing and interpretation of GPR data for the detection of the above targets. In order to investigate the advantages and disadvantages of GPR method in comparison with resistivity method, electrical surveys using resistivity method have been carried out in areas containing these subsurface targets. GPR data have been processed using Win_EKKO Pro and EKKO_Mapper software programs, and then, displayed using Transform software. Also for modeling and quantitative interpretation of resistivity data, we have used Res2dinv software. GPR method has a higher resolution than resistivity method. However, resistivity has not been able to distinct structures near together with high resistivity contrasts. The resolution and especially the depth of penetration of GPR method are affected strongly by subsurface electromagnetic properties. The conductivities of subsurface structures have limited the depth of penetration of GPR method, and detection of water qanat in depth greater than 2 meters has not been possible due to high conductivity of the overburden soil on the qanat. Because of proximity of resistivity of the resistivity of water qanat and surrounding sediments, resistivity method has not considerably been successful in detection of qanat, but has been more successful than GPR method. In detection of sharp boundaries, which electromagnetic properties change rapidly, GPR method has been more successful. Since man-made structure have such boundaries, GPR method remarkably capable of detection of these structures. A problem that should be noted considerably in use of GPR method is processing of data. The processing of GPR data is carried out considering the expected results. Using correct processing methods on the GPR dataset, we can obtain considerable information from the subsurface.