DERIVATION AND VERIFICATION OF A STRUCTURAL 3D MODEL OF THE HASLITAL (AAR MASSIF, SWITZERLAND) FROM REMOTE SENSING AND FIELD DATA
In this study we investigate the large-scale 3D deformation pattern in the European Central Alps in Switzerland from surface data only combined with a thorough assessment of uncertainties related to input data, to extrapolation of surface data and the correlation of surface and underground information. We bank our approach on the mapping of lineaments by means of remote sensing and field work. Our uncertainty estimations concentrate on aspects related to both 2D and 3D input data. We introduce the concepts of the Central Extrapolation Surface (CES) and the Extrapolation Uncertainty Area/Volume (2D: EUA; 3D: EUV), which enable the valid projection of surface data to depth within a well-defined and data-constraint uncertainty range. The projection accuracy is evaluated using geological information from depth available from a gas pipeline tunnel. With this study we document, how geometrical correlations between surface and underground data may be used to construct a valid 3D model and we demonstrate that this approach delivers geologically relevant results. The application of the suggested work flow will help for structural predictions at depth being helpful in the case of underground constructions but also for improved geodynamic understanding of mountain building processes.