Characterizing tree species in the Northwest Territories using spectral mixture analysis and multi-temporal satellite imagery

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dc.contributor.authorVan der Sluijs, Jurjen
dc.contributor.supervisorPeddle, Derek Roland
dc.date.accessioned2014-10-01T19:30:23Z
dc.date.available2014-10-01T19:30:23Z
dc.date.issued2014
dc.degree.levelMastersen_US
dc.degree.levelMasters
dc.description.abstractNatural resource management in northern boreal forests requires tree species identification for improved decision making. Satellite remote sensing provides a more cost-effective and time-efficient way to obtain this information in these large, remote, inaccessible areas. However, satellite signals are highly mixed due to increased tree shadows and visible understory vegetation in higher latitude, lower density open forests. Thus, methods used in southern forests are largely unsuitable. Therefore, spectral mixture analysis (SMA) was tested as it separates these signal components (trees, understory, shadow) at sub-pixel scales, allowing improved forest information. In this study, SMA was used to identify the dominant species near Fort Providence NWT using Landsat-5 Thematic Mapper imagery. An accuracy of 79 % was achieved for four species validated against 48 ground plots using multiple-date imagery acquired at different stages of the growing season. These positive results indicate SMA’s capability to retrieve species information of highly mixed open stands.en_US
dc.identifier.urihttps://hdl.handle.net/10133/3497
dc.language.isoen_CAen_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.subjectLandsat TM imageryen_US
dc.subjectnorthern boreal forestsen_US
dc.subjectNorthwest Territoriesen_US
dc.subjectremote sensingen_US
dc.subjectspectral mixture analysisen_US
dc.titleCharacterizing tree species in the Northwest Territories using spectral mixture analysis and multi-temporal satellite imageryen_US
dc.typeThesisen_US
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