The main objective of this research is to discriminate secondary iron minerals and investigate changes caused by their relocation during mining activities using multispectral satellite data collected over an 11-year period. To achieve this aim, MF and CEM performed using USGS library spectra, field spectra and image spectra to identify secondary iron minerals and then the best result of the mineral identification stage implemented for changes detection of secondary iron minerals. The results of secondary iron minerals identification by MF method and images spectra have compatibility with the field data and laboratory analysis, so that the goethite is the most abundant secondary iron mineral in Darrehzar mine area. The change detection algorithm at the study area showed that mining activities and geochemical conditions cause change in the surface by transferring secondary iron minerals. The employed method including identifying minerals and detecting change of them allows users to find an effective technique for identifying the target material and apply it in the subtraction algorithm for change detection. Applying this method can be suggestions for future research in target change detection.