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dc.contributor.advisorMcDermid, Greg
dc.contributor.advisorCastilla, Guillermo
dc.contributor.authorChen, Shijuan
dc.date.accessioned2017-07-04T20:52:57Z
dc.date.available2017-07-04T20:52:57Z
dc.date.issued2017
dc.date.submitted2017en
dc.identifier.citationChen, S. (2017). Characterizing Vegetation Structure on Anthropogenic Disturbance Features in Alberta’s Boreal Forest with Unmanned Aerial Vehicles (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/25309en_US
dc.identifier.urihttp://hdl.handle.net/11023/3918
dc.description.abstractCharacterizing vegetation structure is an important component for understanding ecological recovery on non-permanent human footprint features in forests. However, current approaches to measuring vegetation structure rely on field protocols that are costly and difficult to scale. Compared to traditional field methods, UAV (unmanned aerial vehicle) photogrammetry has shown great promise in characterizing vegetation structure in a more cost-efficient way. In this research, I used a point-intercept sampling strategy to conduct a comparison of UAV-based estimates and field measurements at two scales: (i) point level and (ii) site (plot) level. I found that at the aggregated site level, UAV photogrammetry alone could replace traditional field-based vegetation surveys of mean vegetation height across the range of conditions assessed in this study, though significant differences remain between remote- and field-based vegetation surveys at point level. Cost analysis indicates that using UAV point clouds alone provides substantial cost-saving over traditional field vegetation surveys.en_US
dc.language.isoeng
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectGeography
dc.subject.otherUnmanned Aerial Vehicles
dc.subject.otherVegetation
dc.subject.otherPoint Clouds
dc.subject.other3D
dc.subject.otherSeismic lines
dc.titleCharacterizing Vegetation Structure on Anthropogenic Disturbance Features in Alberta’s Boreal Forest with Unmanned Aerial Vehicles
dc.typemaster thesis
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/25309
thesis.degree.nameMaster of Science
thesis.degree.nameMS
thesis.degree.nameMSc
thesis.degree.disciplineGeography
thesis.degree.grantorUniversity of Calgary
atmire.migration.oldid5731
dc.contributor.committeememberJohnson, Edward
dc.publisher.placeCalgaryen
ucalgary.item.requestcopytrue


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University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.