Image processing techniques (band rationing, color composite, Principal Component Analyses)

are widely used by many researchers to describe various mines and minerals. The primary aim of

this study is to use remote sensing data to identify iron deposits and gossans located in Kaman,

Kırşehir region in the central part of Anatolia, Turkey. Capability of image processing techniques is

proved to be highly useful to detect iron and gossan zones. Landsat ETM+ was used to create remote

sensing images with the purpose of enhancing iron and gossan detection by applying ArcMap image

processing techniques. The methods used for mapping iron and gossan area are 3/1 band rationing,

3/5 : 1/3 : 5/7 color composite, third PC and PC4 : PC3 : PC2 as RG B which obtained result from

Standard Principal Component Analysis and third PC which obtained result from Developed Selected

Principal Component Analyses (Crosta Technique), respectively. Iron-rich or gossan zones were mapped

through classification technique applied to obtained images. Iron and gossan content maps were

designed as final products. These data were confirmed by field observations. It was observed that iron

rich and gossan zones could be detected through remote sensing techniques to a great extent. This

study shows that remote sensing techniques offer significant advantages to detect iron rich and gossan

zones. It is necessary to confirm the iron deposites and gossan zones that have been detected for the

time being through field observations.

Traditional methods of mineral exploration are mainly based on very expensive drilling and seismic methods. The proposed approach assumes the preliminary recognition of prospecting areas using satellite remote sensing methods. Maps of mineral groups created using Landsat 8 images can narrow the search area, thereby reducing the costs of geological exploration during mineral prospecting. This study focuses on the identification of mineralized zones located in the southeastern part of Europe (Kosovo, area of Selac) where hydrothermal mineralization and alterations can be found. The article describes all the stages of research, from collecting in-situ rock samples, obtaining spectral characteristics with laboratory measurements, preprocessing and analysis of satellite images, to the validation of results through field reconnaissance in detail. The authors introduce a curve-index fitting technique to determine the degree of similarity of a rock sample to a given pixel of satellite imagery. A comparison of the reflectance of rock samples against surface reflectance obtained from satellite images allows the places where the related type of rock can be found to be determined. Finally, the results were compared with geological and mineral maps to confirm the effectiveness of the method. It was shown that the free multispectral data obtained by the Landsat 8 satellite, even with a resolution of 30 meters, can be considered as a valuable source of information that helps narrow down the exploration areas.