@article {13798,
	title = {Change Detection Analysis Using Drone-Based Photogrammetry for Long-Term Archaeological Site Erosion Monitoring},
	volume = {47},
	year = {2023},
	pages = {49-64},
	abstract = {<p>This paper presents a rapid, cost-effective, and non-specialist approach to long-term archaeological site monitoring that is repeatable and affordable. Advances in unmanned aerial vehicle (UAV)-based photogrammetry allow for the creation of multi-temporal three-dimensional (3D) models that permit accurate and in-depth analysis and quantification of landscape change through time. This paper presents a case study of aerial-based photogrammetric datasets using UAVs (i.e.,\&nbsp;drones) to conduct change detection analysis for monitoring continued erosion threatening an Indigenous buffalo jump in Alberta, Canada. The results demonstrate which areas of the site experienced the most significant change over a period of four years. By bridging gaps between traditional field survey and satellite-scale observations of impacts to large archaeological site complexes, UAV monitoring programs may become increasingly important as anthropogenic climate change continues to threaten heritage sites in Canada.</p>},
	doi = {https://doi.org/10.51270/47.1.49},
	author = {Kelsey Pennanen}
}
