The main objective of this study is to develop methods for optimizing and merging different types of digital data for visual interpretation of geological lineaments and geomorphology. Two test areas with different topographic variability were selected in the Scandinavian mountain region.
Different methods for enhancement based on convolution, both directional and non-directional, were applied on elevation data to detect subtle structural features. An excellent product for visual interpretation of lineaments is the artificial stereo pairs, using raw elevation data for the topography and spatially enhanced elevation data as background.
The best spatial enhancement of Landsat TM images was achieved by unsharp masking and adaptive contrast stretch. To visualize the topography when analyzing satellite imagery, artificial stereo pairs were created using elevation data with Landsat TM data as background.
Using synthetic stereo pairs solely based on magnetic data it was possible to find subtle magnetic anomalies. Also, together with elevation data, artificial stereo pairs were created with magnetic data as background color. This product allows interpretation of the relationship between topographic lineaments and magnetic anomalies.
The image products presented here will not replace traditional maps and mapping methods; however, used as supplementary tools they may increase the understanding of many various geological and geomorphological phenomena. The techniques can provide some of the useful products needed for a complete environmental site characterizations.