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Title Identifying lithological features using morphometric parameters derived from DEM
Author Szilard Szabo, Gabor Demeter
Abstract The study focuses on the identification of lithological features based on morphometric variables derived from a 25x25m/pixel resolution DEM of the Bükk Mts., N-Hungary. Statistical methods using SPSS were applied to evaluate a database containing 20 million data in order to promote the cost-effectiveness of geological mapping. Using IDRISI software the derived morphometric parameters were altitude above base level (m), distance from base level (m), slope steepness (in degrees), slope aspect, runoff and costpush. Using TAS and SAGA softwares additional variables were chosen as  sediment transport rate, wetness index, altitude above channel network. We investigated whether geological features (rock type, rock strength,resistance) can be identified or measured from these morphometric parameters. The reliability of the 3 softwares in this process was also tested, while the most sensitive morphometric parameters referring to geology were also identified. To test our hypothesis a control area with known geological background  was selected, and the reclassification of data was carried out. Using IDRISI 70% of the pixels was successfully regrouped into the original rock type using morphometric data, while TAS and SAGA-type variables resulted more than 66%. Using correlation matrices some elements of surface evolution were also traced emphasising the differences between rock types. 
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References
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Keywords DEM, lithological features, morphometric parameters, clusterisation, PCA, TAS, SAGA, IDRISI
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