UAV-LiDAR and Structure from Motion Photogrammetry: Spatial Accuracy in Vegetated Terrain

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atmire.migration.oldid5816
dc.contributor.advisorHugenholtz, Chris
dc.contributor.authorKucharczyk, Maja
dc.contributor.committeememberHall-Beyer, Mryka
dc.contributor.committeememberLichti, Derek
dc.date.accessioned2017-07-25T16:01:36Z
dc.date.available2017-07-25T16:01:36Z
dc.date.issued2017
dc.date.submitted2017en
dc.description.abstractMultiview stereo images acquired by uninhabited / unmanned aerial vehicles (UAVs) in combination with structure from motion (SfM) photogrammetry have created new capacity to develop high-resolution geospatial data, but vertical error is typically higher in vegetated areas because the ground surface is not visible in stereo. Miniaturized LiDAR systems for UAVs have potential to overcome this limitation, but their vertical accuracy in different vegetation types is not well documented. This thesis evaluated the accuracy of UAV-LiDAR and UAV-SfM in six vegetation types: grasses (short and tall), shrubs (short and tall), and trees (deciduous and coniferous). Results indicate UAV-LiDAR was more accurate in estimating ground elevation in all types, while vegetation height accuracy was higher for some types with UAV-SfM. UAV-LiDAR consistently sampled sub-canopy tree structure, while UAV-SfM only captured tree tops. Several factors are proposed to explain these differences and direct future research.en_US
dc.identifier.citationKucharczyk, M. (2017). UAV-LiDAR and Structure from Motion Photogrammetry: Spatial Accuracy in Vegetated Terrain (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/28540en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/28540
dc.identifier.urihttp://hdl.handle.net/11023/3986
dc.language.isoeng
dc.publisher.facultyArts
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
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.subjectPhysical Geography
dc.subjectRemote Sensing
dc.subject.otherunmanned aerial vehicle
dc.subject.otherUAV
dc.titleUAV-LiDAR and Structure from Motion Photogrammetry: Spatial Accuracy in Vegetated Terrain
dc.typemaster thesis
thesis.degree.disciplineGeography
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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