MONITORING BLUFF EROSION RATES USING TERRESTRIAL LASER SCANNING AND STRUCTURE-FROM-MOTION PHOTOGRAMMETRY ON MINNESOTA'S NORTH SHORE STREAMS

Terrestrial laser scanning (TLS) and structure-from-motion photogrammetry (SfMp) offer rapid, non-invasive surveying of in situ gravels. Numerous studies have used the point clouds derived from TLS or SfMp to quantify surface layer characteristics, but direct comparison of the methods for grain-scale analysis has received relatively little attention to date. Comparing equivalent products of different data capture methods is critical as differences in errors and sampling biases between the two methods may produce different outputs, effecting further analysis. The sampling biases and errors related to SfMp and TLS lead to differences in the point clouds produced by each method. The metrics derived from the point clouds are therefore likely to differ, potentially leading to different inputs for entrainment threshold models, different trends in surface layer development being identified and different trajectories for physical processes and habitat quality being predicted. This paper provides a direct comparison between TLS and SfMp surveys of an exposed gravel bar for three different survey periods following inundation and reworking of the bar surface during high flow events. The point clouds derived from the two methods are used to describe changes in the character of the surface layer between bar inundation events, and comparisons are made with descriptions derived from conventional pebble counts. The results found differences in the metrics derived using each method do exist, but the grid resolution used to detrend the surfaces and identify spatial variations in surface layer characteristics had a greater impact than survey method. Further research is required to understand the significance of these variations for quantifying surface texture and structure and for predicting entrainment thresholds and transport rates.

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A comparison of terrestrial laser scanning and structure-from-motion photogrammetry as methods for digital outcrop acquisition

Geosphere ◽

10.1130/ges01342.1 ◽

2016 ◽

Vol 12 (6) ◽

pp. 1865-1880 ◽

Cited By ~ 34

Author(s):

M.W. Wilkinson ◽

R.R. Jones ◽

C.E. Woods ◽

S.R. Gilment ◽

K.J.W. McCaffrey ◽

...

Keyword(s):

Structure From Motion ◽

Laser Scanning ◽

Terrestrial Laser Scanning ◽

Digital Outcrop

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Measuring bluff erosion part 1: terrestrial laser scanning methods for change detection

Earth Surface Processes and Landforms ◽

10.1002/esp.3353 ◽

2012 ◽

Vol 38 (10) ◽

pp. 1055-1067 ◽

Cited By ~ 39

Author(s):

Stephanie S. Day ◽

Karen B. Gran ◽

Patrick Belmont ◽

Tim Wawrzyniec

Keyword(s):

Change Detection ◽

Laser Scanning ◽

Terrestrial Laser Scanning ◽

Bluff Erosion

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Structure from motion (SfM) processing of UAV images and combination with terrestrial laser scanning, applied for a 3D-documentation in a hazardous situation

Geomatics Natural Hazards and Risk ◽

10.1080/19475705.2017.1345796 ◽

2017 ◽

Vol 8 (2) ◽

pp. 1492-1504 ◽

Cited By ~ 12

Author(s):

Isabel Martínez-Espejo Zaragoza ◽

Gabriella Caroti ◽

Andrea Piemonte ◽

Björn Riedel ◽

Dieter Tengen ◽

...

Keyword(s):

Structure From Motion ◽

Laser Scanning ◽

Terrestrial Laser Scanning ◽

3D Documentation ◽

Uav Images

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Combining terrestrial laser scanning and root exposure to estimate erosion rates

Plant and Soil ◽

10.1007/s11104-015-2516-3 ◽

2015 ◽

Vol 394 (1-2) ◽

pp. 127-137 ◽

Cited By ~ 11

Author(s):

J. A. Ballesteros-Cánovas ◽

C. Corona ◽

M. Stoffel ◽

A. Lucia-Vela ◽

J. M. Bodoque

Keyword(s):

Laser Scanning ◽

Terrestrial Laser Scanning ◽

Erosion Rates ◽

Root Exposure

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Comparison of terrestrial laser scanning and structure-from-motion photogrammetry for steep slope mapping

Earth Resources and Environmental Remote Sensing/GIS Applications IX ◽

10.1117/12.2326175 ◽

2018 ◽

Cited By ~ 1

Author(s):

Konstantinos G. Nikolakopoulos ◽

Antonis Antonakakis ◽

Aggeliki Kyriou ◽

Ioannis K. Koukouvelas ◽

Panagiotis Stefanopoulos

Keyword(s):

Structure From Motion ◽

Laser Scanning ◽

Terrestrial Laser Scanning ◽

Steep Slope

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Estimating Mangrove Forest Volume Using Terrestrial Laser Scanning and UAV-Derived Structure-from-Motion

Drones ◽

10.3390/drones3020032 ◽

2019 ◽

Vol 3 (2) ◽

pp. 32 ◽

Cited By ~ 5

Author(s):

Angus D. Warfield ◽

Javier X. Leon

Keyword(s):

Structure From Motion ◽

Forest Structure ◽

Mangrove Forest ◽

Laser Scanning ◽

Terrestrial Laser Scanning ◽

Cost Effective ◽

Stand Age ◽

Stem Density ◽

Aerial Vehicle ◽

Non Destructive

Mangroves provide a variety of ecosystem services, which can be related to their structuralcomplexity and ability to store carbon in the above ground biomass (AGB). Quantifying AGB inmangroves has traditionally been conducted using destructive, time-consuming, and costlymethods, however, Structure-from-Motion Multi-View Stereo (SfM-MVS) combined withunmanned aerial vehicle (UAV) imagery may provide an alternative. Here, we compared the abilityof SfM-MVS with terrestrial laser scanning (TLS) to capture forest structure and volume in threemangrove sites of differing stand age and species composition. We describe forest structure in termsof point density, while forest volume is estimated as a proxy for AGB using the surface differencingmethod. In general, SfM-MVS poorly captured mangrove forest structure, but was efficient incapturing the canopy height for volume estimations. The differences in volume estimations betweenTLS and SfM-MVS were higher in the juvenile age site (42.95%) than the mixed (28.23%) or mature(12.72%) age sites, with a higher stem density affecting point capture in both methods. These resultscan be used to inform non-destructive, cost-effective, and timely assessments of forest structure orAGB in mangroves in the future.

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