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dc.contributor.authorMay, Lora Dawn
dc.date.accessioned2024-07-11T00:13:06Z
dc.date.available2024-07-11T00:13:06Z
dc.date.issued2024-05
dc.identifier.urihttp://hdl.handle.net/11122/15160
dc.descriptionThesis (M.S.) University of Alaska Fairbanks, 2024en_US
dc.description.abstractSeasonal snowpack plays a critical role in hydrologic and ecologic processes. In boreal forest regions snow depth is known to be markedly different across land cover types. Identifying the vegetation metrics responsible for possible snow depth and snow water equivalent (SWE) spatial variability continues to be a challenge. Airborne lidar has advanced our understanding of links between forest snow distribution and vegetation impacts. This study analyzes high resolution (0.5 meter) lidar data sets acquired during NASA's SnowEx field campaign in Alaska and compares them statistically across the vegetation metrics of land cover class and lidar-derived canopy height. Airborne lidar data was collected for a boreal forest site, the Caribou Poker Creeks Research Watershed (CPCRW), during snow-off and peak snow-on accumulation in March of 2022 and May of 2023. Lidar snow depth (98 ± 15 cm) and canopy height maps, both at 0.5 m resolution, were created from lidar data sets. Lidar snow depth and canopy height maps were resampled to 1.5 m resolution to account for spatial autocorrelation. A total of 85.9 million lidar snow depth and canopy height values were available for this study. Three subsets totaling 6.1 million snow depths and canopy heights were processed to run the analysis. A USGS National Land Cover Database (NLCD) 2016 map of Alaska was used to determine land cover classes. Extensive in situ field snow depth measurements were collected concurrently with the peak snow-on lidar survey and were used to validate lidar accuracy. Analysis results from the three subsets showed statistically significant differences in median snow depths for all land cover classes and canopy height (p < 2.2e-16). Statistical comparison within land cover classes showed the largest significant difference in snow depths between shrub and deciduous forest (6-15 cm) and shrub and wetlands (7-14 cm). For canopy height classes, forest and treeless (12-14 cm) and forest and shrub/short stature trees (SSS) (8-14 cm) had snow depths that were significantly different. This thesis will further summarize results on quantifying snow depth variability between land cover and canopy height classes within boreal forests using NASA SnowEx Alaska data.en_US
dc.description.sponsorshipNASA Terrestrial Hydrology Program, SnowEx Alaska, award numbers 80NSSC21K1913 and 80NSSC23K1419en_US
dc.language.isoen_USen_US
dc.subjectSnowen_US
dc.subjectPlantsen_US
dc.subjectCaribou-Poker Creeks Research Watersheden_US
dc.subject.otherMasters of Science in Hydrology: Interdisciplinary Studiesen_US
dc.titleAnalyzing vegetation effects on snow depth variability in the Caribou Poker Creeks Research Watershed, Alaskaen_US
dc.typeThesisen_US
dc.type.degreemsen_US
dc.identifier.departmentDepartment of Civil, Geological, and Environmental Engineeringen_US
dc.contributor.chairStuefer, Svetlana
dc.contributor.committeeGoddard, Scott
dc.contributor.committeePanda, Santosh
dc.contributor.committeeBarnes, David


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