@mastersthesis {83137,
	title = {Analysis of Fire Severity in Southwestern Oregon Using Aerial LiDAR},
	year = {2019},
	note = {In this Master{\textquoteright}s thesis, the author uses Light Imaging and Detection (LIDAR) data taken before the 2017-2018 Rogue-Umpqua forest fires in order to estimate the severity of the fires. The author found that principal component analysis models were the most accurate predictors of fire severity.},
	pages = {53 p.},
	school = {Oregon State University},
	type = {Masters Thesis},
	edition = {M.S.},
	chapter = {Dept. of Forest Engineering, Resources and Management, Sustainable Forest Management},
	address = {Corvallis, Or.},
	keywords = {climate, forest fires, High Cascades Complex fires, mathematical modeling, North Umpqua River, remote sensing, Rogue River, Siskiyou Mountains, South Umpqua Complex fires, South Umpqua River, Umpqua North Complex fires, Umpqua River},
	url = {https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/g445cm49x },
	author = {Wolken, Karin M.}
}
