Alireza Mohammadpour - M.Sc. Student, Faculty of Mining Engineering, Amirkabir University of Technology,Tehran, Iran
Morteza Hasiri - M.Sc. Student, Faculty of Mining Engineering, Amirkabir University of Technology,Tehran, Iran
Seyed Saeed Ghannadpour - Assistant Professor, Faculty of Mining Engineering, Amirkabir University ofTechnology, Tehran, Iran

This research focuses on the ۱:۴۰۰۰۰ map of the Anar area, intending to determinehydrothermal zones using remote sensing satellite imagery. Satellite images contain a lot ofinformation about the material of the surface layers and can be very useful in the explorationof surface mines. For this purpose, necessary corrections were applied to satellite images, andvarious techniques were implemented on the ASTER satellite image, including band ratioprocessing, false color composition, and selected principal component analysis (Crosta) toemphasize alterations. Ultimately, the Crosta method proved superior to other approaches inidentifying hydrothermal zones related to porphyry copper in the southwestern section of theAnar area.

Anar area, Remote sensing, ASTER, Hydrothermal, Crosta