This work focused on identifying and describing geological-geophysical signatures of iron ore occurrences in the southern part of the Serra do Espinhaço in the State of Minas Gerais, Brazil. The work aimed at combining and analyzing digital spatial data to predict and select iron mineralization. Airborne geophysical 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 and interpretation involved conventional techniques (ternary compositions and principal component analysis) and models of the mineral potential achieved by fuzzy logic.
aerogeophysical data; digital image processing; remote sensing; iron ore