The impact of spatial resolution on riparian leaf area index modelling using remote sensing

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dc.contributor.authorLogie, Gordon
dc.contributor.authorUniversity of Lethbridge. Faculty of Arts and Science
dc.contributor.supervisorCoburn, Craig A.
dc.date.accessioned2016-05-05T19:35:36Z
dc.date.available2016-05-05T19:35:36Z
dc.date.issued2016
dc.degree.levelMastersen_US
dc.description.abstractThis thesis investigated the impact of differing sensor spatial resolutions on leaf area index (LAI) modelling. Airborne images along with ground measurements of LAI were acquired for riparian areas along the Oldman River in southern Alberta. Airborne images were spatially resampled to spatial resolutions between 18 cm and 500 m, and the Modified Simple Ratio (MSR) was calculated from the imagery. LAI regression models were created at each spatial resolution, and changes in the relationship between MSR and LAI were observed at each spatial resolution, as well as changes in the modelled LAI estimates. The relationship between MSR and LAI was scale invariant at spatial resolutions as low as 10 m, and only moderately changed until 30 m. MSR and predicted LAI gradually reduced as resolution coarsened further, with large changes occurred beyond 100 m. No relationship was evident between MSR and LAI at spatial resolutions coarser than 300 m.en_US
dc.embargoNoen_US
dc.identifier.urihttps://hdl.handle.net/10133/4477
dc.language.isoen_CAen_US
dc.proquest.subject0368en_US
dc.proquest.subject0799en_US
dc.proquest.subject0768en_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.subjectGeographyen_US
dc.subjectRemote Sensingen_US
dc.subjectSpatial Scaleen_US
dc.subjectLeaf Area Indexen_US
dc.subjectLAIen_US
dc.subjectCamera Calibrationen_US
dc.subjectCalibrationen_US
dc.subjectAirborne Remote Sensingen_US
dc.subjectRiparianen_US
dc.subjectCottonwooden_US
dc.subjectEnvironmenten_US
dc.titleThe impact of spatial resolution on riparian leaf area index modelling using remote sensingen_US
dc.typeThesisen_US
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