Chapter 10
Remote Sensing and Field Data Based Structural 3D Modelling (Haslital, Switzerland) in Combination with Uncertainty Estimation and Verification by Underground Data
Roland Baumberger,
Marco Herwegh,
Edi Kissling,
Roland Baumberger
Institute of Geological Sciences, University of Bern, Baltzerstrasse 1+3, CH-3012 Bern
Federal Office of Topography, Swiss Geological Survey, Seftigenstrasse 264, CH-3084 Wabern
Search for more papers by this authorMarco Herwegh
Institute of Geological Sciences, University of Bern, Baltzerstrasse 1+3, CH-3012 Bern
Search for more papers by this authorEdi Kissling
ETH Zürich, Institute of Geophysics, Sonneggstrasse 5, CH-8092, Zürich
Search for more papers by this authorRoland Baumberger,
Marco Herwegh,
Edi Kissling,
Roland Baumberger
Institute of Geological Sciences, University of Bern, Baltzerstrasse 1+3, CH-3012 Bern
Federal Office of Topography, Swiss Geological Survey, Seftigenstrasse 264, CH-3084 Wabern
Search for more papers by this authorMarco Herwegh
Institute of Geological Sciences, University of Bern, Baltzerstrasse 1+3, CH-3012 Bern
Search for more papers by this authorEdi Kissling
ETH Zürich, Institute of Geophysics, Sonneggstrasse 5, CH-8092, Zürich
Search for more papers by this authorBook Editor(s):Andrea Bistacchi,
Matteo Massironi,
Sophie Viseur,
Andrea Bistacchi
Department of Environmental and Earth Sciences, University of Milano-Bicocca, Milan, Italy
Search for more papers by this authorMatteo Massironi
Department of Geosciences, University of Padua, Padua, Italy
Search for more papers by this authorSummary
Ideally, the three-dime nsional (3D) representation of the subsurface relies on both underground and surface data. Commonly, the former is scarcely available or entirely lacking and, therefore, the latter has to be used when projecting surface information to depth. We present an approach to investigate the large-scale 3D deformation pattern in the Central Alps (Switzerland) from surface data only, while assessing uncertainties. Up to now, little attention has been paid to the assessment of uncertainties related to input data, the extrapolation of surface data, and the correlation of surface and underground information. 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). With this study, we document how (i) geometrical correlations between surface and underground data within their respective EUA/EUV may be used to construct a 3D model and (ii) we demonstrate that this approach delivers geologically relevant results. The suggested workflow allows the generation of reliable structural 3D models. The workflow will help to predict geology at depth in various fields (e.g. underground constructions and improved geodynamic understanding of mountain building processes).
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