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dc.contributor.advisorSaleska, Scotten
dc.contributor.authorGarnello, Anthony John Junqueira
dc.creatorGarnello, Anthony John Junqueiraen
dc.date.accessioned2015-10-05T22:04:02Zen
dc.date.available2015-10-05T22:04:02Zen
dc.date.issued2015en
dc.identifier.urihttp://hdl.handle.net/10150/579278en
dc.description.abstractI investigated (1) whether stages of permafrost thaw were consistently associated with plant community composition and other land surface characteristics; (2) whether those different land surface characteristics could be consistently distinguished with remote sensing tools in a sub-arctic mire. I utilized plant area cover and topography to identify five distinct site-types as being characteristic of different stages of permafrost thaw, and 50 one square-meter plots were measured for species-specific area cover and pole-based hyperspectral reflectance. A Tukey-HSD comparison test showed that plant functional group richness decreased with permafrost thaw, and could readily be used to differentiate between stages of thaw. A discrete, stepwise canonical classification function with bootstrap cross validation showed a mean classification error rate of 7.3% +/- 7.3% (6.8%-9.65% 95% Confidence Interval). These results showed successful ground-truthing methods for regional-scale landscape classification, allowing for high temporal and spatial resolution of circumpolar permafrost thaw monitoring.
dc.language.isoen_USen
dc.publisherThe University of Arizona.en
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en
dc.titleCan Permafrost Soil Thaw be Characterized by Hyperspectral Reflectance and Plant Community Structure?en_US
dc.typetexten
dc.typeElectronic Thesisen
thesis.degree.grantorUniversity of Arizonaen
thesis.degree.levelbachelorsen
thesis.degree.disciplineHonors Collegeen
thesis.degree.disciplineEcology & Evolutionary Biologyen
thesis.degree.nameB.S.en
refterms.dateFOA2018-06-06T05:06:29Z
html.description.abstractI investigated (1) whether stages of permafrost thaw were consistently associated with plant community composition and other land surface characteristics; (2) whether those different land surface characteristics could be consistently distinguished with remote sensing tools in a sub-arctic mire. I utilized plant area cover and topography to identify five distinct site-types as being characteristic of different stages of permafrost thaw, and 50 one square-meter plots were measured for species-specific area cover and pole-based hyperspectral reflectance. A Tukey-HSD comparison test showed that plant functional group richness decreased with permafrost thaw, and could readily be used to differentiate between stages of thaw. A discrete, stepwise canonical classification function with bootstrap cross validation showed a mean classification error rate of 7.3% +/- 7.3% (6.8%-9.65% 95% Confidence Interval). These results showed successful ground-truthing methods for regional-scale landscape classification, allowing for high temporal and spatial resolution of circumpolar permafrost thaw monitoring.


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