The rigour of extracting friction angles, and eventually lower-bound bearing strength, in sandy beach settings through slope angles determined from digital images (visual spectrum) is explored. Digital images of topographic sand features using hand-held cameras, an unmanned aerial vehicle and a panchromatic satellite sensor are analysed to determine average slope angles using three-dimensional reconstruction. Greyscale gradients and shadows are utilised in the satellite images to extract slope estimates. The slope angles matched tilt table results of samples from the same locations at the Duck, NC, and Claytor Lake, VA, field sites. Direct shear testing of sample material suggest friction angles of ∼33° and ∼35°, respectively. The authors test a potential pathway to derive lower-bound bearing strength using these remotely sensed slope angles. Preliminary results are encouraging, but likely sensitive to the impact of moisture content, differences between the maximum and the observed slope angle and internal friction angles.
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December 2017
Research Article|
November 15 2017
Friction angles at sandy beaches from remote imagery Available to Purchase
N. Stark;
N. Stark
*Charles E. Via Jr. Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USA.
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J. McNinch;
J. McNinch
†U.S. Corps of Engineers Research and Development Center, Coastal and Hydraulics Laboratory, Field Research Facility, Duck, NC, USA.
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H. Wadman;
H. Wadman
†U.S. Corps of Engineers Research and Development Center, Coastal and Hydraulics Laboratory, Field Research Facility, Duck, NC, USA.
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H. C. Graber;
H. C. Graber
‡Department of Ocean Sciences, Center for Southeastern Tropical Advanced Remote Sensing (CSTARS), University of Miami, Miami, FL, USA.
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A. Albatal;
A. Albatal
*Charles E. Via Jr. Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USA.
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P. A. Mallas
P. A. Mallas
‡Department of Ocean Sciences, Center for Southeastern Tropical Advanced Remote Sensing (CSTARS), University of Miami, Miami, FL, USA.
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Publisher: Emerald Publishing
Received:
May 22 2017
Revision Received:
October 16 2017
Accepted:
October 16 2017
ICE Publishing: all rights reserved
2017
Geotechnique Letters (2017) 7 (4): 292–297.
Article history
Received:
May 22 2017
Revision Received:
October 16 2017
Accepted:
October 16 2017
Citation
Stark N, McNinch J, Wadman H, Graber HC, Albatal A, Mallas PA (2017), "Friction angles at sandy beaches from remote imagery". Geotechnique Letters, Vol. 7 No. 4 pp. 292–297, doi: https://doi.org/10.1680/jgele.17.00053
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