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dc.contributor.supervisor Hopkinson, Christopher
dc.contributor.author Montgomery, Joshua
dc.date.accessioned 2018-01-22T16:04:52Z
dc.date.available 2018-01-22T16:04:52Z
dc.date.issued 2017
dc.identifier.uri https://hdl.handle.net/10133/5002
dc.description en_US
dc.description.abstract This thesis investigates the ecology of wetlands and associated classification in prairie and boreal environments of Alberta, Canada, using remote sensing technology to enhance classification of wetlands in the province. Objectives of the thesis are divided into two case studies, 1) examining how satellite borne Synthetic Aperture Radar (SAR), optical (RapidEye & SPOT) can be used to evaluate surface water trends in a prairie pothole environment (Shepard Slough); and 2) investigating a data fusion methodology combining SAR, optical and Lidar data to characterize wetland vegetation and surface water attributes in a boreal environment (Utikuma Regional Study Area (URSA)). Surface water extent and hydroperiod products were derived from SAR data, and validated using optical imagery with high accuracies (76-97% overall) for both case studies. High resolution Lidar Digital Elevation Models (DEM), Digital Surface Models (DSM), and Canopy Height Model (CHM) products provided the means for data fusion to extract riparian vegetation communities and surface water; producing model accuracies of (R2 0.90) for URSA, and RMSE of 0.2m to 0.7m at Shepard Slough when compared to field and optical validation data. Integration of Alberta and Canadian wetland classifications systems used to classify and determine economic value of wetlands into the methodology produced thematic maps relevant for policy and decision makers for potential wetland monitoring and policy development. en_US
dc.description.sponsorship Funding for this thesis was provided by the NSERC CREATE AMETHYST Program, and the Government of Alberta (Economic Development and Trade, Environment and Parks), Campus Alberta Innovates Program. en_US
dc.language.iso en_US en_US
dc.publisher Lethbridge, Alta. : University of Lethbridge, Dept. of Geography en_US
dc.relation.ispartofseries Thesis (University of Lethbridge. Faculty of Arts and Science) en_US
dc.subject Synthetic aperture radar en_US
dc.subject Wetlands en_US
dc.subject hydroperiod en_US
dc.subject time series en_US
dc.subject frequency analysis en_US
dc.subject data fusion en_US
dc.subject Optical radar en_US
dc.title Temporal data fusion approaches to remote sensing-based wetland classification en_US
dc.type Thesis en_US
dc.publisher.faculty Arts and Science en_US
dc.publisher.department Department of Geography en_US
dc.degree.level Masters en_US
dc.proquest.subject 0329 en_US
dc.proquestyes Yes en_US
dc.embargo No en_US


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