Abstarct: Abstract Porphyry-epineural copper-gold mineralization Daghi Mosque is located in the east of Jolfa city and in East Azarbaijan province and is geologically located in Arasbaran mextallurgical zone and Alborz-Azerbaijan magmatic zone. Mineralization host rocks include Eocene flysch and trachyandesite and Oligocene monozodiorite quartz intrusive mass. Important alterations in the region include potash, phyllite, medium and advanced argillic, political and propylitic, and gold mineralization is formed in the form of siliceous-barite veins in the upper part of the porphyry massif. Different methods such as false color combination, band ratio and least regression squares method have been used to detect alterations on Sentinel-2 and Landsat-8 satellite images. Also, three supervised neural network classifications, maximum similarity and support vector machine, and a combination of three classifications with the maximum voting approach were used. The results of these studies show that the band ratio method in Landsat-8 and Sentinel-2 sensors and the least regression squares in Sentinel-2 and Landsat-8 satellites in the reconstruction of iron oxide areas and areas of argillic, film and propylitic alterations It worked well. Comparison of classification methods shows; The backup vector machine has higher accuracy than other classifications. The combined results show that the maximum voting method is more accurate than the backup vector machine. According to the methods applied on the Landsat-8 satellite and the Sentinel-2 sensor, the Sentinel-2 sensor has been more accurate for reconstructing alterations in the study area and has shown a more appropriate adaptation to the geological evidence of the area.