Application of remote sensing and fuzzy logic techniques for studying Abgarm travertines in Qazvin province

In this research, we have used ASTER-Terra satellite images were used for spatial analysis of Abgarm geothermal basin to study travertine formation of the north west of Qazvin. All Synthetic photo-maps generated with band Ratios and PCA applied in images for introducing the location of hydrothermal alterations. Remotely sensed evidences indicate the patches of iron oxides and hydroxides mineral facies in aggregation with clayey minerals as a common mineralization sequence in hydrothermal environment. Many of geological features and Aster- sets such as faults, lineaments and multispectral images have been used and processed for potential mapping of Abgarm mineralization with focuses on formation of solution-related Travertines locations as well as preparing a Fuzzy-based prognostic map for exploration. As a rule, in the membership functions, many of weighted variables were used before scoring them according to spatial data modeler algorithms applied in lithological evidences (on the basis of diversities in sexes and ages) as well as weighting the structures (on the basis of densities). Also, all evidences were integrated with changes in geological formations according to “And” operator applied. Our innovative results not only represented several patterns of the hidden structures but indicated their associations with spatially altered formations. Moreover, a fuzzy-based gamma operator was used for final mapping of Abgarm Travertines based on our future plan for geochemical explorations.