Synopsis of Topic
We’ll be playing in the sandbox this morning… that’s right, role up your sleeaves and watch geomorphic change right before your eyes in an EmRiver flume. We’ll measure/survey the topographic changes we see with both a TLS (terrestrial laser scanner) and a camera. In so doing, we’ll learn more about where high resolution point clouds come from.
Why we’re Covering it
There are three reasons why we’re covering this:
- Help you see geomorphic processes of erosion, deposition and storage in action
- Introduce/expose you to ground-based LiDAR as means of capturing snapshots of topography
- Introduce/expose you to SFM (structure from motion) photogrammetry as a cheap way to acquire high resolution point clouds.
Learning Outcomes Supported
This topic will help fulfill the following primary learning outcome(s) for the workshop:
- A comprehensive overview of the theory underpinning geomorphic change detection
- The fundamental background necessary to design effective repeat topographic monitoring campaigns and distinguish geomorphic changes from noise (with particular focus on restoration applications)
- Methods for interpreting and segregating morphological sediment budgets quantitatively in terms of both geomorphic processes and changes in physical habitat
- Hands-on instruction on use of the GCD software through group-led and self-paced exercises
- An opportunity to interact with experts on geomorphic monitoring and the software developers of GCD to help you make better use of your own data
Data and Materials for Exercises
- Dataset - TLS
- Dataset - SfM (Becca)
Relevant Online Help or Tutorials for this Topic
Slides and/or Handouts
- Demo Slides from Becca Rossi
Relevant or Cited Literature
SFM - Structure From Motion
- Dietrich, J.T., 2014. Applications of Structure-from-Motion Photogrammetry to Fluvial Geomorphology, University of Oregon, Eugene, OR, 124 pp.
- Fonstad, M., Dietrich, J.P., Courville, B., Jensen, J. and Carbonneau, P., 2013. Topographic structure from motion: a new development in photogrammetric measurement. Earth Surface Processes and Land Forms, 38(4): 421-430. DOI: 10.1002/esp.3366.
- Kasprak* A, Wheaton JM, Ashmore PE, Hensleigh JH, & Peirce S. 2015. The Relationship Between Particle Travel Distance and Channel Morphology: Results from Physical Models of Braided Rivers. JGR Earth Surface. DOI: 10.1002/2014JF003310.
- Javernick, L., Brasington, J. and Caruso, B., 2014. Modelling the topography of shallow braided rivers using Structure-from-Motion photogrammetry. Geomorphology, 213: 166-182. DOI: 10.1016/j.geomorph.2014.01.006.
- Westoby, M.J., Brasington, J., Glasser, N.F., Hambrey, M.J. and Reynolds, J.M., 2012. ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology, 179: 300-314. DOI: 10.1016/j.geomorph.2012.08.021.