Graduation Year

2022

Document Type

Thesis

Degree

M.S.

Degree Name

Master of Science (M.S.)

Degree Granting Department

Geology

Major Professor

Mel Rodgers, Ph.D.

Co-Major Professor

Timothy H. Dixon, Ph.D.

Committee Member

Rocco Malservisi, Ph.D.

Keywords

Computer Vision, Geomorphology, Lidar, Photogrammetry

Abstract

Photogrammetry is a method by which physical information can be extracted from thecorrespondence of 2-dimensional images. In the geosciences, Structure-from-Motion (SfM) photogrammetry is a technique that has seen considerable interest in the past decade of research. Here I present three case studies of various scope and methodologies which can inform the use of SfM in the geosciences. First, I discuss the theoretical and algorithmic basis of SfM photogrammetry and its uses thus far in the geosciences. Chapters two through four show specific studies which highlight several approaches to SfM and the data which can be produced. Chapter five then concludes by detailing the limits of this method as well as techniques that can be used to mitigate them.

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