This paper focused on identifying and describing geological-geophysical signatures of iron ore occurrences associated southern Espinhaco in the State of Minas Gerais, Brazil. The work aimed at combining and analyzing digital spatial data to predict and select iron mineralization. Aerogeophysical and multispectral orbital data, in addition to geological and iron occurrence maps, were employed both separately and in an integrated approach. The digital processing steps involved several enhancements techniques – conventional (pseudocolor compositions and principal component analysis), as well as techniques originally developed for the classification of hyperspectral remote sensing data (Spectral Angle Mapper and Mixture Tuned Matched Filtering), which were here adapted to aerogeophysical data processing. The results yielded by the processing, integration and interpretation steps proved the classification methods to be effective in the selection of targets potentially mineralized in iron. Sites with known occurrences of iron ore, associated to Serra do Sapo Ridge were successfully mapped. Additionally, other key areas, where no iron ore occurrences are known, were also individualized and great part were ground thruted in the field.