One of the copper potential districts in southern khorasan province is known as Dehsalm copper prospect located 17 kms south of Dehsalm village and was chosen for further geological and geochemical exploration to be used for evaluating its potential and favorability. Geochemical studies were conducted through using a square sampling grid of 100 meters for soil covers and 50 meters apart for the fresh rock outcrops. To improve and assess the quality of available geological map, Aster imagery data were employed to distinguish different rock types based on their different spectral characteristics. Due to heavily soil covered surface geology and extensive alteration and erosion imposed on the studied area we have developed a new spectral matching technique based on least square methodology. In this regard the main alteration processes normally found on such volcano-intrusive complexes such as argillic, sericitic, alunitic, iron oxide and propylitic bearing zones were detected using the newly devised image processing algorithm and was controlled through field and laboratory observations. Collecting 1094 soil plus 213 rock samples the local geochemical background and anomalous limits were estimated through three basic methods called statistical confidence limit, gap statistics and P.N. statistics. Through integrating all available geochemical anomalous maps, alteration and geological features, four distinctive zones representing different mineral potentials were found. Utilizing factor analysis of multivariate statistics there found two major mineralization procedures of whom the enrichment of molybdenum in silicified. Employing soil geochemical data we have tried the applicability of exploiting elemental patterns hidden in the data using multifractal power spectrum technique. From studying multifractality and asymmetry index on various elements it was found that there exists multifractal patterns in geochemical data and the multifractality index is better suited for the studied geochemical data.