Date of Graduation
Summer 2021
Degree
Master of Science in Geospatial Sciences
Department
Geography, Geology, and Planning
Committee Chair
Toby Dogwiler
Abstract
The use of small Unmanned Aerial Systems (sUAS) in combination with Structure from Motion (SfM) photogrammetry is an evolving tool for geoscientists. SfM photogrammetry allows for rapid acquisition of the data that is required to create orthophotos and Digital Surface Models (DSMs) for a variety of field applications. Ground Control Points (GCPs) are used to reconstruct the DSM and evaluate the accuracy of aerial imagery collected from sUAS. When acquiring data for SfM photogrammetry, GCPs are required for spatial referencing. However, questions remain open regarding the effect of methodological techniques on the precision and accuracy of the resulting DSMs. This study focuses on assessing the relationship between DSM accuracy and the GCP methodology used to georeference the imagery. By determining the minimal number of GCPs necessary for a specific level of accuracy and precision in the final DSM products, both time and money are saved during data collection and processing.
Keywords
ground control point, structure from motion, photogrammetry, drone, small unmanned aerial system, digital surface model, digital elevation model
Subject Categories
Other Earth Sciences | Other Environmental Sciences
Copyright
© Bailey Dianne Wolf
Recommended Citation
Wolf, Bailey Dianne, "Ground Control Point Assessment for sUAS-based SfM Photogrammetry" (2021). MSU Graduate Theses. 3661.
https://bearworks.missouristate.edu/theses/3661
