Conference Papers
Science Quality and Integrity
The USGS provides unbiased, objective, and impartial scientific information upon which our audiences, including resource managers, planners, and other entities, rely.
The USGS provides unbiased, objective, and impartial scientific information upon which our audiences, including resource managers, planners, and other entities, rely.
Browse almost 5,000 conference papers authored by our scientists and refine search by topic, location, year, and advanced search.
Filter Total Items: 5346
Tidal and vertical variability of floc characteristics
No abstract available.
Authors
Neil K. Ganju, David H. Schoellhamer
Total suspends data - a critical evaluation
No abstract available.
Authors
G. Douglas Glysson, John R. Gray
Trends in the sediment yield of the Sacramento River, 1957-2001
No abstract available.
Authors
S.A. Wright, D. H. Schoellhamer
Two-dimensional inverse and three-dimensional forward modeling of MT (magnetotelluric) data to evaluate the mineral potential of the Amphitheater Mountains, Alaska, USA
As part of an integrated geological and geophysical study to assess the mineral potential in the Amphitheater Mountains of south-central Alaska, USA, two magnetotelluric (MT) profiles were acquired during the summer of 2002. The two parallel MT lines, along with helicopter electromagnetic (HEM) and magnetic data acquired by the State of Alaska Division of Geological and Geophysical Surveys and new
Authors
Louise Pellerin, Jeanine M. Schmidt, G. Michael Hoversten
Type a influenza virus surveillance in free-flying, nonmigratory ducks residing on the eastern shore of Maryland
Virus surveillance in free-flying, nonmigratory ducks living on the eastern shore of Maryland indicated that influenza A viruses were introduced into the area or that the prevalence of endemic infections increased between July 15 and August 27, 1998. Cloacal swabs collected between May 28 and July 15, 1998, were negative for influenza A virus recovery (0/233), whereas 13.9% (29/209) of swabs colle
Authors
R.D. Slemons, W. R. Hansen, K. A. Converse, D.A. Senne
U.S. Geological Survey on-line fluvial sediment data
No abstract available.
Authors
John R. Gray, Lisa M. Turcios
U.S. Geological Survey research on surrogate measurements for suspended sediment
The U.S. Geological Survey is evaluating potentially useful surrogate instruments and methods for inferring the physical characteristics of suspended sediments. Instruments operating on bulk acoustic, bulk and digital optic, laser, and pressure-differential technologies are being tested in riverine and laboratory settings for their usefulness to Federal agencies toward providing quantifiably relia
Authors
John R. Gray, Theodore S. Melis, Eduardo Patiño, Matthew C. Larsen, David J. Topping, Patrick P. Rasmussen, Carlos Figueroa-Alamo
U.S. Geological Survey suspended-sediment surrogate research, Part I: Call for a sediment monitoring instrument and analysis research program
No abstract available.
Authors
John R. Gray
U.S. Geological Survey suspended-sediment surrogate research, Part II: Optic technologies
No abstract available.
Authors
John R. Gray, Daniel J. Gooding, Theodore S. Melis, David J. Topping, Patrick P. Rasmussen
U.S. Geological Survey suspended-sediment surrogate research, Part III: Acoustic and pressure-differential technologies
No abstract available.
Authors
John R. Gray, Eduardo Patiño, Matthew C. Larsen
US National Large-scale City Orthoimage Standard Initiative
The early procedures and algorithms for National digital orthophoto generation in National Digital Orthophoto Program (NDOP) were based on earlier USGS mapping operations, such as field control, aerotriangulation (derived in the early 1920's), the quarter-quadrangle-centered (3.75 minutes of longitude and latitude in geographic extent), 1:40,000 aerial photographs, and 2.5 D digital elevation mode
Authors
G. Zhou, C. Song, S. Benjamin, W. Schickler
Use of input uncertainty and model sensitivity to guide site exploration
Three Quantitatively Directed Exploration (QDE) methods to identify optimum field sampling locations based on model input covariance and model sensitivity are presented. The first method bases site exploration only on the spatial variation in the uncertainty of input properties. The second method uses only the spatial variation in model sensitivities. The third method uses a first-order second-mom
Authors
A.J. Graettinger, H. W. Reeves, J. Lee, D. Dethan