Authors: Robert Sorrells*, University of Georgia, David Leigh, University of Georgia, Department of Geography
Topics: Geomorphology, Remote Sensing, Water Resources and Hydrology
Keywords: Geomorphology, Remote Sensing, Photogrammetry, Bank Erosion, Water Resources
Session Type: Poster
Start / End Time: 8:00 AM / 9:40 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: No File Uploaded
Geomorphology relies on the skill of investigators to identify, quantify, and discuss landforms. Such reliance has bred techniques to investigate landforms, all of which must be repeatable, accurate, and cost-effective. New techniques have emerged that leverage advanced equipment and computing power to develop higher resolution areal maps, discern vegetative coverage, and identify landforms at scales that were difficult with ground-based techniques alone. Structure From Motion (SfM), allows for the generation of three-dimensional models using photographs or stills from video footage with sufficient overlap of subject coverage. This study evaluates the efficacy of SfM in monitoring bank erosion under controlled conditions along a 106-meter reach of Lilly Branch, a tributary of the Oconee River in Georgia. Using a combination of ground and aerial photo survey, we generate a high-resolution Digital Elevation Model (DEM). In order to replicate bank erosion via shear bank erosion, undercutting, and columnar erosion, we excavate nine study bank sites in increments of 19 liters of bank material removed with SfM photography conducted after each increment removed. We weigh the bank material on site and calculate a correction factor for the loss of compaction for the bank material removed via bulk density analysis. We generate SfM models to calculate the amount of bank material removed in ArcGIS via the DEM of Difference function in cubic meters. We present the results of this research by comparing the accuracy of the SfM generated models against the measured excavation of bank material.