Abstarct: Geothermal energy can be a good replacement for any kind of energy we has been used today. Estimation of Curie point depth (CPD) is a one of the first steps in geothermal exploration. Using spectral analysis of aeromagnetic data can provide important information about temperature distribution in depth. Above the Curie temperature ( ), magnetic minerals lose their ferromagnetism. This means that deeper laxyers at greater temperatures are essentially non-magnetic. The methods used to estimate CPD in different parts of the world, mostly consider the crustal rocks magnetization as a random function of the position (x, y) while the crustal rocks magnetization shows a fractal behavior. In this study we estimate the Curie point depth (CPD) assuming the crustal rock has a fractal behavior. To achieve this goal the reduced-to-pole aero magnetic data were divided into overlapping windows of the size of km (overlapped with the adjacent window). The power spectrum of aeromagnetic data for each window was computed with fast Furrier transform (FFT) method. Then the top and bottom to the depth of magnetic sources estimate and bottom to the depth of magnetic sources assume as a Curie point depth. According to the results the depth to the top of magnetic sources estimate between and km. the depth to the bottom of magnetic sources estimate between and km and fractal parameter estimate between and . Then by mapping the Curie point depth, thermal gradient and heat flow of study are we concluded that the all of study area has potential for more geothermal exploration.