Abstarct: Separation of geochemical anomalies from background is a crucial task in geochemical explorations and requires a conscious chosen of an appropriate method for decomposition of geochemical anomaly patterns. The concentration-area (C-A) fractal method is reliable method for identifying the anomaly populations. In this study, by using of the stream sediment geochemical data in Zarshouran province, mono element statistical analysis and Principle component analysis (PCA) was applied on all elements. Finally, 8 elements were selected which are related to Au mineralization in order to derive multi-elemnt geochemical signature. The various methods of anomaly-background separation such as C-A fractal model have been applied for delineating the geochemical patterns and then promising areas. Employing satellite imagery is a so much promising step during the regional exploratory studies of Au mineralization (e. g. epithermal deposits). Because recognition of hydrothermal alterations can lead to identify the promising areas of Au mineralization. In this regard, the current study seeks to acquire alterations associated with Au mineralization by using satellite imagery including ETM^+ and ASTER data and developed image processing approaches. Accordingly, diverse methods such as false color composite (FCC) and spectral analysis (SA) are applied to separate the iron-oxide alteration, hydroxyl minerals, well-known alterations such as phyllic, argillic, propylitic, silicification. By investigating the detected alterations and geochemical anomalies maps, there was a good relationship between these occurrences. Finally, baxsed on geochemical studies and remote sensing studies in this province, high mineral potentials related to Au mineralization were introduced in Zarshouran province.