Dear Colleagues,
please consider submitting an abstract to our session at the EGU
General Assembly (April 7-12, 2019, Abstract deadline January 10th
2019).
From 3D digital outcrops to subsurface geological models: exploiting
the third dimension to improve the understanding of geological
structures and processes on Earth and planetary bodies (TS11.4)
Conveners: Andrea Bistacchi, Luca Penasa and Sam Thiele
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.
Most remote sensing techniques also describe more than just geometry,
with RGB or hyper-spectral information also captured to provide an
integrated representation of both geometry and texture. Such datasets
contain rich geological information, providing opportunities for
accurate and cost-effective analysis at resolutions that were, until
recently, impossible. They also provide a crucial and objective method
for capturing three-dimensional field data, especially at the outcrop
scale, from which subsurface models can be developed. In addition, on
planetary bodies these dataset provide key insights when evaluating
the feasibility and scientific return of landing site candidates.
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.
This session will explore different methods for extracting
quantitative 3D data from high-resolution remote sensing datasets, and
how to use them to gain insight into geological structures and
processes on the Earth and other planetary bodies. We warmly encourage
the participants to present tools, algorithms and workflows for
analyzing such datasets, as well as applications in which these have
been successfully applied to characterize geological structures and
processes.
We look forward to your contributions,
Andrea, Luca and Sam
_____________________________________________________
Prof. Andrea Bistacchi
Dipartimento di Scienze dell’Ambiente e della Terra
Universita' degli Studi di Milano Bicocca
Piazza della Scienza, 4
20126 Milano
[log in to unmask]
########################################################################
To unsubscribe from the GEO-TECTONICS list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=GEO-TECTONICS&A=1
|