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                  <mods:namePart>Staenz, Karl</mods:namePart>
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               <mods:name>
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                  <mods:namePart>Coburn, Craig A.</mods:namePart>
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                  <mods:namePart>Rolfson, David</mods:namePart>
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                  <mods:namePart>University of Lethbridge. Faculty of Arts and Science</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2011-08-22T19:53:28Z</mods:dateAccessioned>
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                  <mods:dateIssued encoding="iso8601">2010</mods:dateIssued>
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               <mods:identifier type="uri">https://hdl.handle.net/10133/2527</mods:identifier>
               <mods:abstract>Rangelands are an important resource to Alberta. Due to their size, mapping&#xd;
rangeland features is difficult. However, the use of aerial and satellite data for mapping&#xd;
has increased the area that can be studied at one time. The recent success in applying&#xd;
hyperspectral data to vegetation mapping has shown promise in rangeland classification.&#xd;
However, classification mapping of hyperspectral data requires existing data for input&#xd;
into classification algorithms. The research reported in this thesis focused on acquiring a&#xd;
seasonal inventory of in-situ reflectance spectra of rangeland plant species (endmembers)&#xd;
and comparing them to evaluate their separability as an indicator of their suitability for&#xd;
hyperspectral image classification analysis. The goals of this research also included&#xd;
determining the separability of species endmembers at different times of the growing&#xd;
season.&#xd;
In 2008, reflectance spectra were collected for three shrub species (Artemisia&#xd;
cana, Symphoricarpos occidentalis, and Rosa acicularis), five rangeland grass species&#xd;
native to southern Alberta (Koeleria gracilis, Stipa comata, Bouteloua gracilis,&#xd;
Agropyron smithii, Festuca idahoensis) and one invasive grass species (Agropyron&#xd;
cristatum). A spectral library, built using the SPECCHIO spectral database software,&#xd;
was populated using these spectroradiometric measurements with a focus on vegetation&#xd;
spectra.&#xd;
Average endmembers of plant spectra acquired during the peak of sample&#xd;
greenness were compared using three separability measures – normalized Euclidean&#xd;
distance (NED), correlation separability measure (CSM) and Modified Spectral Angle&#xd;
Mapper (MSAM) – to establish the degree to which the species were separable. Results&#xd;
were normalized to values between 0 and 1 and values above the established thresholds&#xd;
indicate that the species were not separable . The endmembers for Agropyron cristatum,&#xd;
Agropyron smithii, and Rosa acicularis were not separable using CSM (threshold =&#xd;
0.992) or MSAM (threshold = 0.970). NED (threshold = 0.950) was best able to separate&#xd;
species endmembers.&#xd;
Using reflectance data collected throughout the summer and fall, species&#xd;
endmembers obtained within two-week periods were analyzed using NED to plot their&#xd;
separability. As expected, separability of sample species changed as they progressed&#xd;
through their individual phenological patterns. Spectra collected during different solar&#xd;
zenith angles were compared to see if they affected the separability measures. Sample&#xd;
species endmembers were generally separable using NED during the periods in which&#xd;
they were measured and compared. However, Koeleria gracilis and Festuca idahoensis&#xd;
endmembers were inseparable from June to mid-August when measurements were taken&#xd;
at solar zenith angles between 25° – 30° and 45° – 60°. However, between 30° and 45°,&#xd;
Bouteloua gracilis and Festuca idahoensis endmembers, normally separable during other&#xd;
solar zenith angles, became spectrally similar during the same sampling period.&#xd;
Findings suggest that the choice of separability measures is an important factor&#xd;
when analyzing hyperspectral data. The differences observed in the separability results&#xd;
over time also suggest that the consideration of phenological patterns in planning data&#xd;
acquisition for rangeland classification mapping has a high level of importance.</mods:abstract>
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                  <mods:languageTerm authority="rfc3066">en_US</mods:languageTerm>
               </mods:language>
               <mods:accessCondition type="useAndReproduction"/>
               <mods:subject>
                  <mods:topic>Vegetation mapping -- Alberta, Southern</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Rangelands -- Alberta, Southern -- Remote sensing</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Remote sensing -- Alberta, Southern</mods:topic>
               </mods:subject>
               <mods:subject>
                  <mods:topic>Dissertations, Academic</mods:topic>
               </mods:subject>
               <mods:titleInfo>
                  <mods:title>Collection of endmembers and their separability for spectral unmixing in rangeland applications</mods:title>
               </mods:titleInfo>
               <mods:genre>Thesis</mods:genre>
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