GSA 2019: T177: Innovative Tools for Mapping, Modelling, and Sharing 3D Geological Data

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From: "Triantafyllou, Antoine - (atriantafyllou)" <
atriantafyllou@xxxxxxxxxxxxxxxxx>

5-5-5-5-5-5-5-5-5-5-5-5-5-5-5-5-5-5-5-5-5-5-5-5


Dear all,

Are you interested in Drones, Lidar, Photogrammetry, Virtual Reality
applied to Geosciences research and outreach? Please consider contributing
and/or attending our GSA session in Phoenix:
*â??T177. Innovative Tools for Mapping, Modelling, and Sharing 3D Geological
Data: Drones, Photogrammetry, Lidar, Virtual, and Augmented Realityâ??.
<https://gsa.confex.com/gsa/2019AM/top/index.epl>*
Our invited speaker is *Prof. John Stix* from the Department of Earth &
Planetary Sciences â?? Mc Gill University (Canada).
Please note the
* abstract submission deadline is Tuesday, June 25th, 2019.*

Looking forward to reading your abstract and seeing you Phoenix!

All the best,

The T177 conveners,

Antoine Triantafyllou, Benjamin Jordan, Christopher Crosby and Ramon
Arrowsmith


----> FYI: here is a full description of the session and covered topics:

High-resolution Digital Outcrop Models (DOM) are increasingly attractive
tools for modern field geologists. 3D models are applicable across the
earth sciences, including for investigation of inaccessible geological
structures, and for quantifying geomorphological processes and the
assessment of natural resources and geohazard. DOMs can be created through
structure from motion photogrammetry, terrestrial laser scanning (LiDAR),
and photoclinometry. These acquisition methods can be coupled to a large
variety of spectral sensors (multi-, hyper-spectral, radar) and be embedded
on various platforms, including airborne- (drones/UAV) or ground-based
approaches. These innovative tools provide invaluable and increasingly
accessible sources of geological data at a wide and flexible range of
spatial scales from the scale of the outcrop to the scale of the geological
map. Active areas of research include automatic or semiautomatic and
machine learning-based tools and algorithms for data quality assessment,
fusion, classification, analysis workflows and object or geological
features recognition. These novel approaches represent significant inputs
to quantitative geological models and may bring new clues and better
constraints to geologic interpretations. Augmented and Virtual Reality (VR)
technologies, and Cave Automatic Virtual Environment (CAVE) environments
are potentially very powerful as supporting tools to enable data analyze,
scientific presentations, and immersive virtual field experiences in which
realistic geology outcrop and/or post-processed 3D models can be explored
and investigated. We invite contributions that address methodological
approaches and challenges related to diverse geological problems and case
studies, including field acquisition, data processing, data access and
distribution, and interpretation.

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