H41E
Remote Sensing and Modeling of Rivers: Advancing Fluvial Science I Posters

Thursday, 17 December 2015: 08:00-12:20
Poster Hall (Moscone South)
Primary Conveners:  Tamlin Pavelsky, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
Conveners:  J. Toby Minear, USGS Central Region Office, Lakewood, CO, United States, James T. Dietrich, Dartmouth College, Hanover, NH, United States and Colin J Gleason, University of California Los Angeles, Los Angeles, CA, United States
Chairs:  Tamlin Pavelsky, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States and J. Toby Minear, USGS Central Region Office, Lakewood, CO, United States
OSPA Liaisons:  Tamlin Pavelsky, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
 
4D Floodplain representation in hydrologic flood forecasting using WRFHydro modeling framework (79922)
Chandana Gangodagamage, Los Alamos National Laboratory, Los Alamos, NM, United States
 
Characterizing worldwide patterns of fluvial geomorphology and hydrology with the Global River Widths from Landsat (GRWL) database (62897)
George H Allen and Tamlin Pavelsky, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
 
Developing a new global network of river reaches from merged satellite-derived datasets (61894)
Christine Lion, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
 
A Consistent Radar Altimetry Dataset for Major World Rivers: Extraction Methods and Preliminary Data Products (82348)
Stephen Paul Coss1, Michael T Durand2, Stephen Tuozzolo1, Yuchan Yi3, Yuanyuan Jia3, Qi Guo1 and C.K. Shum4, (1)Ohio State University Main Campus, Columbus, OH, United States, (2)Ohio St Univ-Earth Sciences, Columbus, OH, United States, (3)Ohio State University Main Campus, Division of Geodetic Science, School of Earth Sciences, Columbus, OH, United States, (4)Ohio State University, Columbus, OH, United States
 
How well Can We Classify SWOT-derived Water Surface Profiles? (64658)
Renato P. M. Frasson, Byrd Polar and Climate Research Center, Columbus, OH, United States, Rui Wei, Ohio State University Main Campus, Columbus, OH, United States, Christophe Picamilh, INP - ENSEEIHT, Hydraulics and Fluid Mechanics, Toulouse, France and Michael T Durand, Ohio St Univ-Earth Sciences, Columbus, OH, United States
 
Addressing scale dependence in roughness and morphometric statistics derived from point cloud data. (70509)
Daniel Buscombe1, Joseph M Wheaton2, James Hensleigh2, Paul E Grams3, Chris W Welcker4, Kelvin Anderson4 and Matthew A Kaplinski5, (1)USGS Grand Canyon Monitoring and Research Center, Flagstaff, AZ, United States, (2)Utah State University, Logan, UT, United States, (3)USGS Astrogeology Science Center, Flagstaff, AZ, United States, (4)Idaho Power Company, Boise, ID, United States, (5)Northern Arizona University, Flagstaff, AZ, United States
 
Multiscale controls on water surface roughness and implications for remote sensing of rivers (85665)
Brandon T Overstreet1, Carl J Legleiter2, Lee Harrison3, Lincoln H Pitcher4, Jonathan Ryan5, Asa K Rennermalm6 and Laurence C Smith4, (1)University of Wyoming, Laramie, WY, United States, (2)University of Wyoming, Department of Geography, Laramie, WY, United States, (3)NOAA Santa Barbara, Santa Barbara, CA, United States, (4)University of California Los Angeles, Los Angeles, CA, United States, (5)Aberystwyth University, Aberystwyth, United Kingdom, (6)Rutgers University New Brunswick, New Brunswick, NJ, United States
 
Refining measurements of lateral channel movement from image time series by quantifying spatial variations in registration error (64116)
Devin M Lea, University of Oregon, Eugene, OR, United States; University of Wyoming, Laramie, WY, United States and Carl J Legleiter, University of Wyoming, Department of Geography, Laramie, WY, United States
 
River Bathymetry Estimation Using Surface Elevation Data (81224)
Thomas G Almeida1, April M Warnock1, David T Walker1 and Ocean and Space Systems Center, (1)SRI International, Ann Arbor, MI, United States
 
High resolution channel geometry from repeat aerial imagery (80736)
Tyler King1, Bethany T Neilson1, Austin Jensen1,2, Alfonso F Torres-Rua1,2, Mark Winlelaar1,2 and Mitchell T Rasmussen1,2, (1)Utah State University, Logan, UT, United States, (2)Utah Water Research Laboratory, LOGAN, UT, United States
 
Testing simple methodologies to estimate at-a-station hydraulic geometry in large river networks with limited observations (81114)
Jesus D Gomez-Velez, New Mexico Tech, Earth & Environmental Science, Socorro, NM, United States, Jungyill Jay Choi, USGS, Reston, VA, United States and Jud W Harvey, USGS Headquarters, Reston, VA, United States
 
Innovative High-Accuracy Lidar Bathymetric Technique for the Frequent Measurement of River Systems (84055)
Andrew Gisler1, Geoffrey Crowley1, Jeffrey P Thayer2, Gerald SPACE Thompson1 and Rory Alistair Barton-Grimley2, (1)Atmospheric and Space Technology Research Associates, LLC, Boulder, CO, United States, (2)University of Colorado at Boulder, Boulder, CO, United States
 
Calibrating river bathymetry via image to depth quantile transformation (62174)
Carl J Legleiter, University of Wyoming, Department of Geography, Laramie, WY, United States
 
The influence of three dimensional dunes on river flows and fluxes (Invited) (59105)
Richard J Hardy1, Daniel R Parsons2, Annie Ockelford2, Philip J Ashworth3, Arjan Reesink2 and Jim Best4, (1)University of Durham, Department of Geography, Durham, United Kingdom, (2)University of Hull, Hull, United Kingdom, (3)University of Brighton, Brighton, United Kingdom, (4)University of Illinois at Urbana Champaign, Geography, Mechanical Science and Engineering and Ven Te Chow Hydrosystems Laboratory, Urbana, IL, United States
 
River Discharge Estimation Using Imaged Critical Flow Phenomena (81861)
Mark A Fonstad, University of Oregon, Eugene, OR, United States
 
Continuous measurements of water surface height and width along a 6.5km river reach for discharge algorithm development (70494)
Stephen Tuozzolo, Ohio State University Main Campus, Columbus, OH, United States, Michael T Durand, Ohio St Univ-Earth Sciences, Columbus, OH, United States and Tamlin Pavelsky, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
 
The Effects of Spatial Resolution and Dimensionality on Modeling Braided River Hydraulics (69586)
Elizabeth H Altenau, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
 
On the Development of an Integrated Hydrologic, Hydraulic, and Inverse Modeling Approach for Estimating Discharges and Water Depths for Ungauged Rivers from Space (62744)
Ganming LIU, The Ohio State University, School of Earth Sciences, Columbus, OH, United States, Frank W Schwartz, Ohio State University Main Campus, Columbus, OH, United States, Kuo-Hsin Tseng, National Central University, Center for Space and Remote Sensing Research, Taoyuan, Taiwan and C.K. Shum, Ohio State University, Columbus, OH, United States
 
Water turbidity estimation from airborne hyperspectral imagery and full waveform bathymetric LiDAR (66222)
Zhigang Pan1, Craig L Glennie2,3, Juan Carlos Fernandez-Diaz2 and National Center for Airborne Laser Mapping, (1)University of Houston, Houston, TX, United States, (2)National Center for Airborne Laser Mapping, Houston, TX, United States, (3)University of Houston, Geosensing System Engineering and Science, Houston, TX, United States
 
Resiliency of the Chesapeake Bay to Pollution Levels Following Storms and Based on Land-Use (68686)
Mejs Hasan and Tamlin Pavelsky, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
 
Interactive Modelling of Salinity Intrusion in the Rhine-Meuse Delta (83669)
Wouter Kranenburg, Deltares, Delft, Netherlands
 
Virginia Water Resources: Utilizing NASA Earth Observations to Monitor the Extent of Harmful Algal Blooms in Virginia Rivers (65789)
Sara H Lubkin1, Cassandra Morgan1 and NASA DEVELOP PHB, (1)Organization Not Listed, Washington, DC, United States
 
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