UAV-SfM and Geographic Object-Based Image Analysis for Measuring Multi-Temporal Planimetric and Volumetric Erosion of Arctic Coasts

Two coastal sites near Tuktoyaktuk were investigated over a one week and one year time interval, using high-resolution imagery from drones to identify coastal erosion rates.

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Additional Info

Field Value
Creator A. Clark, B.J. Moorman, D. Whalen
Summary We analyzed two coastal sites in Kugmallit Bay (near Tuktoyaktuk, Northwest Territories, Canada), over a one-week and one-year time interval. Using high-resolution imagery from Unoccupied Aerial Vehicles with Structure from Motion (UAV-SfM), we investigated the influence of unique coastal indicator features on reported planimetric and volumetric measurements and explored the use of Geographic Object Based Image Analysis (GEOBIA) to semi-automate the process of coastal feature extraction. We observed temporally dependent differences between coastal feature movements, planimetrically and volumetrically, and object-based feature extraction accuracy was found to be feature dependent. Our research has made methodological improvements to Arctic coastal measurements, particularly at high spatiotemporal scales, which highlights considerations relevant to broad scale Arctic coastal monitoring and quantification.
Local Relevance Two coastal sites near Tuktoyaktuk, NWT, ere investigated to determine coastal erosion rates.
Notes
Tags Research,Remote Sensing,Coast,Tuktoyaktuk,Erosion
Geographic Region Beaufort Delta
Release Date 2023-05-18
Last Modified Date 2023-05-18
Funding Program