Document Type
Honors Thesis
Major
Earth and Climate Sciences
Advisor(s)
Seth Campbell
Committee Members
Aaron Putnam, Kristin Schild
Graduation Year
May 2023
Publication Date
Spring 2023
Abstract
Bedrock fracture density is an important characteristic of bedrock that determines its structural formation, the potential for groundwater or fluid flow, and the capacity of erosion for exposed features. In the case of the Franconia Range, there are two primary bedrock lithologies that we wish to analyze. In this research, we conduct the first structural analysis and quantification of the bedrock fracture density of this region using Structure from Motion modeling and machine learning algorithms. Additionally, the algorithms were supplemented to be useful in determining fracture density in the subsurface geology of Ground-Penetrating-Radar (GPR) radargrams. The products of this work are useful in determining surface and subsurface fracture density of bedrock, potentially differentiating rock types at the surface and subsurface, and additionally will aid in the restoration of the Franconia Ridge trail system.
Recommended Citation
Johnson, Dane, "Modeling Franconia Ridge, New Hampshire Using Structure from Motion and Developing New Techniques for Fracture Detection" (2023). Honors College. 826.
https://digitalcommons.library.umaine.edu/honors/826