T43F:
Advanced Technology and Multidisciplinary Approaches in Structure and Tectonics II

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Session ID#: 17134

Session Description:
Unmanned aerial vehicles (UAVs) and autonomous underwater vehicles (AUVs) are disruptive technology, transforming the quality and volume of data geoscientists collect, particularly with the availability of cost-effective, lightweight and stable platforms. Scanning techniques mounted on these platforms, such as 3D digital photogrammetry and light detection and ranging (LIDAR), have been used to map fault surface curvature, outcrop fault populations, landslides, earthquake surface ruptures and neotectonic geomorphology, among other things. These techniques will soon be augmented with miniaturized magnetic and gravity meters, thermal infrared and hyperspectral sensors. Such field tools bridge the scale gap between outcrop and satellite-based observations, while obtaining high-resolution data (mm-cm scale) over large areas. One of the most important developments over the next few years will therefore be the application of computer vision and artificial intelligence (AI) approaches to facilitate real-time or rapid, semi-automatic extraction of meaningful results from the data, under expert guidance.
Primary Convener:  Steven Micklethwaite, Monash University, Melbourne, VIC, Australia
Conveners:  Jonathan M. G. Glen, USGS Western Regional Offices Menlo Park, Menlo Park, CA, United States and Alexander R Cruden, Monash University, Melbourne, VIC, Australia
Chairs:  Jonathan M. G. Glen, USGS Western Regional Offices Menlo Park, Menlo Park, CA, United States and Steven Micklethwaite, Monash University, Melbourne, VIC, Australia
OSPA Liaison:  Jonathan M. G. Glen, USGS Western Regional Offices Menlo Park, Menlo Park, CA, United States

Cross-Listed:
  • EP - Earth and Planetary Surface Processes
  • NH - Natural Hazards
Index Terms:

1942 Machine learning [INFORMATICS]
1964 Real-time and responsive information delivery [INFORMATICS]
8099 General or miscellaneous [STRUCTURAL GEOLOGY]
8199 General or miscellaneous [TECTONOPHYSICS]

Abstracts Submitted to this Session:

Using remotely piloted aircraft and onboard processing to optimize and expand data collection (Invited) (194916)
Matthew M Fladeland, NASA Ames Research Ctr, Moffett Field, CA, United States, Donald V Sullivan, NASA Ames Research Center, Moffett Field, CA, United States, Ved Chirayath, NASA Ames Research Center, Moffett Field, United States, Ron Instrella, NASA Ames Research Center, Mountain View, CA, United States and Geoffrey A Phelps, USGS Western Regional Offices Menlo Park, Menlo Park, CA, United States
Miniaturised Gravity Sensors for Remote Gravity Surveys. (Invited) (125975)
Richard Paul Middlemiss1, Steven G Bramsiepe1, James Hough1, Douglas J Paul2, Sheila Rowan1, Antonio Samarelli3 and Giles Hammond1, (1)University of Glasgow, Physics and Astronomy, Glasgow, United Kingdom, (2)University of Glasgow, Engineering, Glasgow, United Kingdom, (3)Kelvin Nanotechnology, Glasgow, United Kingdom
Fold-Thrust mapping using photogrammetry in Western Champsaur basin, SE France (155538)
Yukitsugu Totake1,2, Robert Butler1 and Clare E. Bond1, (1)University of Aberdeen, School of Geosciences, Aberdeen, United Kingdom, (2)INPEX CORPORATION, Technical Resources, Tokyo, Japan
High spatial resolution mapping of folds and fractures using Unmanned Aerial Vehicle (UAV) photogrammetry (173679)
Alexander R Cruden, Monash University, Melbourne, VIC, Australia and Stefan Vollgger, Monash University, Melbourne, Australia
Lost in Virtual Reality: Pathfinding Algorithms Detect Rock Fractures and Contacts in Point Clouds (137944)
Sam Thiele1, Lachlan Grose2 and Steven Micklethwaite2, (1)Monash University, School of Earth, Atmosphere and Environment, Melbourne, Australia, (2)Monash University, School of Earth, Atmosphere and Environment, Melbourne, VIC, Australia
HIGH RESOLUTION ANALYSIS OF DYKE TIPS AND SEGMENTS, USING DRONES (199593)
Steven Micklethwaite, Monash University, School of Earth, Atmosphere and Environment, Melbourne, VIC, Australia, Gregory Dering, The University of Western Australia, School of Earth Sciences, Perth, Australia and Alexander R Cruden, Monash University, Melbourne, VIC, Australia
UAV, LiDAR & ground-based surveying from Stackpole Quay: best practice for accuracy of virtual outcrops and structural models (158905)
ADAM Cawood, Clare E. Bond, John Howell and Yukitsugu Totake, University of Aberdeen, School of Geosciences, Aberdeen, United Kingdom

See more of: Tectonophysics