Sponsor
Portland State University. Department of Mechanical and Materials Engineering
First Advisor
Evan Thomas
Term of Graduation
Fall 2016
Date of Publication
12-2-2016
Document Type
Thesis
Degree Name
Master of Science (M.S.) in Mechanical Engineering
Department
Mechanical and Materials Engineering
Language
English
Subjects
Drone aircraft in remote sensing, Photogrammetry, Riparian areas -- Management, Environmental monitoring
DOI
10.15760/etd.5259
Physical Description
1 online resource (v, 54 pages)
Abstract
Riparian vegetation restoration efforts demand cost effective, accurate, and replicable impact assessments. In this thesis a method is presented using an Unmanned Aerial Vehicle (UAV) equipped with a GoPro digital camera to collect photogrammetric data of a 2.02-acre riparian restoration. A three-dimensional point cloud was created from the photos using Structure from Motion (SfM) techniques. The point cloud was analyzed and compared to traditional, ground-based monitoring techniques. Ground truth data collected using the status-quo approach was collected on 6.3% of the study site and averaged across the entire site to report stem heights in stems/acre in three height classes, 0-3 feet, 3-7 feet, and greater than 7 feet. The project site was divided into four analysis sections, one for derivation of parameters used in the UAV data analysis, and the remaining three sections reserved for method validation. The most conservative of several methods tested comparing the ground truth data to the UAV generated data produced an overall error of 21.6% and indicated an r2 value of 0.98. A Bland Altman analysis indicated a 99% probability that the UAV stems/plot result will be within 159 stems/plot of the ground truth data. The ground truth data is reported with an 80% confidence interval of +/- 844 stems/plot, thus the UAV was able to estimate stems well within this confidence interval. Further research is required to validate this method longitudinally at this same site and across varying ecologies. These results suggest that UAV derived environmental impact assessments at riparian restoration sites may offer competitive performance and value.
Rights
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Persistent Identifier
http://archives.pdx.edu/ds/psu/19169
Recommended Citation
Bedell, Emily Jane, "Unmanned Aerial Vehicle Based Structure from Motion Biomass Inventory Estimates" (2016). Dissertations and Theses. Paper 3368.
https://doi.org/10.15760/etd.5259
Included in
Environmental Studies Commons, Geographic Information Sciences Commons, Remote Sensing Commons