Hyperspectral data is a powerful tool for mineral explorations and lithological discriminations. EO1-Hyperion is a space borne hyperspectral system for hyperspectral imaging which is capable of 220 spectral image channels within the range of 400 to 2500 nm wavelengths. It has advantages over airborne systems such as data cost and coverage area. Although it has many advantages, much more uncertainty exists in application period, of which this uncertainty does exist in all processing stages starting from the data preparation to the end of analysis stages. The aim of this thesis is to state the potential use of Hyperion data for lithological and mineralogical discriminations to further develop new hyperspectral image processing approach, and to improve existing preprocessing method in literature. The proposed algorithm is mainly based on atmospheric corrections and cross track illumination correction of Hyperion data. In order to achieve this, two test sites were selected. Site 1 located on the Central Anatolia, (Ekecek test site) is used for lithological discrimination and Site 2 located on West Anatolia (Biga test site) is used for mineralogical discrimination. The obtained results were compared and assessed with the field verifications, spectral measurements and existing spectral libraries. In the end of the study it is found that when proposed approach is followed hyperspectral data is proven to be a useful tool for mineralogical discrimination in mono minerallic outcrops and valuable for lithological mapping in relatively homogenous un-covered outcrops.

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