Fine-scale Inventory of Forest Biomass with Ground-based LiDAR

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dc.contributor.authorXi, Zhouxin
dc.contributor.authorUniversity of Lethbridge. Faculty of Arts and Science
dc.contributor.supervisorHopkinson, Christopher
dc.date.accessioned2019-06-26T17:08:01Z
dc.date.available2019-06-26T17:08:01Z
dc.date.issued2019
dc.degree.levelPh.Den_US
dc.description.abstractBiomass measurement provides a baseline for ecosystem valuation required by modern forest management. The advent of ground-based LiDAR technology, renowned for 3D sampling resolution, has been altering the routines of biomass inventory. The thesis develops a set of innovative approaches in support of fine-scale biomass inventory, including automatic extraction of stem statistics, robust delineation of plot biomass components, accurate classification of individual tree species, and repeatable scanning of plot trees using a lightweight scanning system. Main achievements in terms of accuracy are a relative root mean square error of 11% for stem volume extraction, a mean classification accuracy of 0.72 for plot wood components, and a classification accuracy of 92% among seven tree species. The results indicate the technical feasibility of biomass delineation and monitoring from plot-level and multi-species point cloud datasets, whereas point occlusion and lack of fine-scale validation dataset are current challenges for biomass 3D analysis from ground.en_US
dc.description.sponsorshipS.G.S. International Tuition Award from the University of Lethbridge The Dean's Scholarship from the University of Lethbridge Campus Alberta Innovates Program NSERC Discovery Grants Programen_US
dc.identifier.urihttps://hdl.handle.net/10133/5431
dc.language.isoen_USen_US
dc.proquest.subjectRemote sensing [0799]en_US
dc.proquest.subjectPhysical geography [0368]en_US
dc.proquest.subjectForestry [0478]en_US
dc.proquestyesYesen_US
dc.publisherLethbridge, Alta. : University of Lethbridge, Dept. of Geographyen_US
dc.publisher.departmentDepartment of Geographyen_US
dc.publisher.facultyArts and Scienceen_US
dc.relation.ispartofseriesThesis (University of Lethbridge. Faculty of Arts and Science)en_US
dc.subject3Den_US
dc.subjectForest biomassen_US
dc.subjectMultisensor data fusionen_US
dc.subjectOptical radaren_US
dc.subjectTerrestrial Laser Scanningen_US
dc.titleFine-scale Inventory of Forest Biomass with Ground-based LiDARen_US
dc.typeThesisen_US
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