مرکز منطقه ای اطلاع رساني علوم و فناوري -

چكيده لاتين :

Recently, remote sensing technology represents useful information in mineral exploration. Since satellite images provide data in different parts of electromagnetic spectrum, they can be widely used in geological applications. The main goal of this paper is to demonstrate the superiority of the remote sensing technology in mineral exploration in Khoy-Oshnavieh area located in the north-west of Iran. Two primary components, VMS and Au, were considered to be explored in the region . Variety kinds of remote sensing data were used to prepare different information layers which play important roles in mineral exploration. The most important layers are lineaments and structures of the study area as well as alteration. Although there are some restrictions related to the quality of the remotely sensed data, they seemed to be the only reliable data in this project. This paper mainly focuses on techniques used to process different remote sensing data to extract different types of alteration which were clay and iron-oxide, using ETM+ and ASTER. The processing methods used were Crosta, selective principal component analysis and band ratio for alteration. The alteration information with the other information layers such as geology maps, geophysics and geochemistry data were then used to produce the primary exploration model in GIS. Two different models included index overlay and fuzzy logic were tested to find the promised areas as targets to be checked. Checking the field, the quality of the results was evaluated. Remote sensing alteration mapping proved to be the most reliable source of information.