@article {83103,
	title = {Geologic controls on paleodrainage incision and morphology during sea level lowstands on the Cascadia shelf in Oregon, USA},
	journal = {Marine Geology},
	volume = {434},
	number = {106444},
	year = {2021},
	note = {In late Quaternary glaciation, sea levels were much lower than in the present.  Coastal rivers wound their ways across the gently sloping coastal plain to the Pacific Ocean.  The sediments off the Oregon Coast record traces of these paleorivers as they flowed to the sea.  In this paper, the authors examine the submerged drainage systems of two Oregon paleorivers about 40 kilometers apart, the early Siuslaw and Umpqua rivers.  The two streams made quite different impacts on the land, from the gently winding Siuslaw, with multiple cross-connections between channels to the more deeply incised bed of the early Umpqua River. This is a most interesting look at the pasts of two neighboring streams.},
	pages = {16 p.},
	keywords = {continental shelf, geology, paleosciences, remote sensing, sediments, Siuslaw River, sonar, Umpqua River},
	doi = {https://doi.org/10.1016/jmargeo.2021.106444 },
	author = {Klotsko, Shannon and Skakun, Matthew and Maloney, Jillian and Gusick, Amy and Davis, Loren and Nyers, Alexander and Ball, David}
}
@article {83038,
	title = {Mapping landslides on EO data: performance of deep learning models vs. traditional machine learning models},
	journal = {Remote Sensing},
	volume = {12},
	number = {3},
	year = {2020},
	note = {Contemporary science has revolutionized the mapping of landslides.  Using Earth Observation images from satellites, researchers have access to high-resolution imagery.  Much effort has gone into teaching computers how to {\textquotedblleft}read{\textquotedblright} myriad images and identify features such as landslides.  This article introduces a method for identifying landslides with computers and compares it to the Statewide Landslide Information Database for Oregon (SLIDO).  The study area covers land from Coos Bay to Eugene, including much of the Smith River and the Lower Umpqua River.  Illustrated.  This is an open-access article.},
	pages = {p.346-370 },
	keywords = {coastal hazards, geology, landslides, machine learning, map, mathematical modeling, neural networks, remote sensing, Smith River, Umpqua River},
	doi = {https://doi.org/10.3390/rs12030346 },
	url = {https://www.mdpi.com/2072-4292/12/3/346/pdf },
	author = {Prakash, Nikhil and Manconi, Andrea and Loew, Simon}
}
@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.}
}
@conference {36191,
	title = {Analysis of wellbore image data applied to environmental and geotechnical case studies},
	booktitle = {Proceedings of the Symposium on the Application of Geophysics to Engineering and Environmental Problems : March 27-31, 1994, Boston, Massachusetts},
	volume = {1},
	year = {1994},
	note = {"The application of borehole televiewer (BHTV) data analyses recorded in the shallow crust to environmental and hydrological investigations is fourfold: 1) fracture characterization, 2) in-situ stress measurement, 3) providing site geologic and lithologic constraints, and 4) geotechnical monitoring." (from the Abstract)},
	month = {1994},
	pages = {p.461-480},
	publisher = {Environmental and Engineering Geophysical Society},
	organization = {Environmental and Engineering Geophysical Society},
	address = {Englewood, CO},
	keywords = {geology, hydrography, remote sensing, water pollution, water quality},
	author = {Barton, Colleen A. and Wright, Jerry}
}
@book {23786,
	title = {Aerial Photographic Tracing of Pulp Mill Effluent in Marine Water},
	year = {1970},
	note = {Photographs},
	month = {August_1970},
	pages = {152 p.},
	publisher = {Federal Water Quality Administration. U.S. Department of the Interior.},
	organization = {Federal Water Quality Administration. U.S. Department of the Interior.},
	keywords = {bioassay, computer programs, hydrology, mathematical modeling, outfall, physical, pulp mill effluent, remote sensing, tidal currents, Toledo, toxicity, Umpqua River estuary, waste disposal, water pollution, water temperature data, Yaquina Bay},
	url = {https://ir.library.oregonstate.edu/concern/technical_reports/dr26xz07b},
	author = {Burgess, Fred J. and James, Wesley P. and U.S. Department of the Interior.  Federal Water Quality Administration, and Oregon State University}
}
@article {23656,
	title = {Technical Letter NASA-16: Geological Evaluation of Radar Imagery, Oregon Coast},
	year = {1966},
	note = {Work performed under NASA Contract No. R-09-020-015},
	month = {May_1966},
	institution = {United States Geological Survey},
	address = {Menlo Park, CA},
	keywords = {geology, remote sensing},
	author = {Snavely, Parke D. Jr. and Wagner, Holly C.}
}
