Due to the economic and industrial importance of iron in the development of human societies, in recent decades, extensive explorations have been carried out on minerals containing this valuable metal. Remote sensing techniques are known as one of the most powerful tools for regional exploration of this mineral. In this study, various methods of remote sensing such as band ratios (BR), false color combinations (FCC), least square fitting (LS-Fit), spectral angle mapper (SAM), and finally principal components analysis (PCA) for mapping iron minerals in the Hana district, south of Kerman province, were used. The results of these methods were compared with each other as well as with the results of studies and field surveys. After reviewing and comparing the results, it was determined that in the studied region, spectral angle mapper (SAM) method has higher accuracy for mapping of oxidation regions and iron minerals.