Knowledge –driven mineral potential mapping by using fuzzy logic

Abstract :

The study area is located in Dehaj-Sardouyeh volcanic-sedimentary belt in Kerman Province that is known as a favorable zone for mineral reconnaissance. The intrusion of intrusive bodies into the volcanic rocks has given rise to an extensive alteration and mineralizations that are mainly porphyry and vein types. In this research different exploratory data such as airborne geophysics, remote sensing(ASTER data) and geological data was integrated for determining favorable mineral potential areas. Altered areas were enhanced by using 4/9 and 9/7 band ratios. In order to eliminate pseudo alteration anomalies that cause by vegetation, Normalized Difference Vegetation Index (NDVI) has been considered while delineating the altered areas. Intrusive bodies extracted from geological map of Baft area. Magnetometry and radiometric data that are produced by Atomic Energy Organization of Iran (AEOI) was used here as three information layers. In order to select mineral potential areas these data layers were integrated and analyzed in a GIS based on knowledge-driven fuzzy logic technique and finally a mineral potential map was prepared.