Posters

TS11.1

Quantitative analysis tools have become increasingly common in structural geology. Imaging techniques such as computed tomography are used to build highly accurate, three-dimensional models of geological structures. Structural measurements are facilitated and often accelerated owing to photogrammetric methods of reconstructing the studied outcrops. Geological structures can then be classified using statistical methods. These new methods allow for the integration of observations and quantification on scales which were inaccessible before. Experimental, analytical, and numerical techniques are used to develop quantitative mechanical models of rock deformation processes, and with the advent of modern computing power, high-resolution models and systematic simulations are nowadays feasible. Remote sensing techniques, including airborne or terrestrial photogrammetry and lidar, make it possible to realize exquisitely detailed three-dimensional (3D) topographic datasets from outcrop to regional scales. These technologies allow detailed, quantitative geological analysis in inaccessible, even extra-terrestrial, terrain. The data-reduction process that transforms these rich datasets into geologically meaningful descriptions of the structure and composition of outcropping rocks is, however, a significant challenge. Recent developments in this area are paving the way for novel geological analysis, incorporating data analysis techniques such as 3D interpolation, machine-learning, (semi-)automatic techniques, and immersive visualization.

We invite contributions discussing advances and challenges in quantifying geological structures at all scales.

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Convener: Bernhard Grasemann | Co-conveners: Marcin Dabrowski, Friedrich Hawemann, Marcel Thielmann, Andrea Bistacchi, Luca Penasa, Sam Thiele
Orals
| Fri, 12 Apr, 10:45–12:30
 
Room K2
Posters
| Attendance Fri, 12 Apr, 14:00–15:45
 
Hall X2

Attendance time: Friday, 12 April 2019, 14:00–15:45 | Hall X2

Chairperson: Marcin Dabrowski, Bernhard Grasemann, Friedrich Hawemann, Luca Penasa, Samuel Thiele
X2.254 |
EGU2019-3742
Development Characteristics and Main Control factors of the Ordovician Karst Caves in Liuhuanggou, Keping area
(withdrawn)
Qiqiang Ren, Qiang Jin, and Jianwei Feng
X2.257 |
EGU2019-3885
Quantitative Analysis of Fracture System Based on Ant Tracking and Variance Technique
(withdrawn after no-show)
Caixinda Yu, Yangwen Pei, Kongyou Wu, and Ziyue Jiang
X2.258 |
EGU2019-16849
Barbara De Toffoli, Nicolas Mangold, Matteo Massironi, Riccardo Pozzobon, Stephane Le Mouélic, Jonas L’Haridon, and Gabriele Cremonese
X2.259 |
EGU2019-16950
Ondřej Švagera, Petr Kabele, Zita Bukovská, Jan Jelínek, Václav Nežerka, Igor Soejono, Michael Somr, and Jan Zeman
X2.260 |
EGU2019-14361
Andrea Bistacchi, Silvia Mittempergher, and Mattia Martinelli
X2.261 |
EGU2019-4542
Martin Balcewicz, Kevin Lippert, Mathias Nehler, Benedikt Ahrens, Erik H. Saenger, Rolf Bracke, and Michael Alber
X2.263 |
EGU2019-16018
Stephan Höpfl, Anna Rogowitz, and Bernhard Grasemann
X2.264 |
EGU2019-17390
Marcel Thielmann, Hauke Marquardt, and Gregor Golabek
X2.265 |
EGU2019-7416
Alexandra Schagerl, Martin Schöpfer, and Bernhard Grasemann
X2.266 |
EGU2019-5054
Jaroslav Klokocnik, Jan Kostelecky, Ales Bezdek, Vaclav Cilek, and Gunther Kletetschka
X2.267 |
EGU2019-16059
Mateusz Mikołajczak, Jan Barmuta, and Krzysztof Starzec
X2.268 |
EGU2019-13546
Raffaele Bitonte, Franz Livio, Remy Martin, Stefano Frambati, Pivot Frederik, Despinois Frank, Lahmi Marjolaine, and Ballard Jean François
X2.269 |
EGU2019-14746
Luca Penasa, Marco Franceschi, Matteo Massironi, Steffen Abe, Sabrina Ferrari, and Giampiero Naletto and the OSIRIS Team