H43M:
Remote Sensing and Modeling of Rivers: Advancing Fluvial Science II


Session ID#: 10600

Session Description:
The scientific study of rivers is undergoing a methodological revolution through remote sensing at a broad range of scales.  Terrestrial and airborne tools allow unprecedented analysis of fine detail in river forms and processes, and four decades of satellite imagery is facilitating new understanding of large-scale variability in river systems. Regardless of scale, the simultaneous leveraging of both space and time afforded by remote sensing is increasingly revealing new ideas about how river systems behave.

We are soliciting abstracts that employ remotely sensed data to study river form and process. This includes the development of new applications of remote sensing in river systems, methodological innovations across sensors and scales, or leveraging new instrumentation. We are particularly interested in research that highlights ways in which remote sensing enhances our conceptual and theoretical understanding of rivers.

Primary Convener:  Tamlin Pavelsky, University of North Carolina at Chapel Hill, Department of Earth, Marine, and Environmental Sciences, Chapel Hill, NC, United States
Conveners:  J. Toby Minear, University of Colorado, Boulder, CIRES, Boulder, United States, James T. Dietrich, University of Northern Iowa, Geography, Cedar Falls, IA, United States and Colin J Gleason, University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, MA, United States
Chairs:  Colin J Gleason, University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, MA, United States and James T. Dietrich, University of Northern Iowa, Geography, Cedar Falls, IA, United States
OSPA Liaison:  J. Toby Minear, University of Colorado, Boulder, CIRES, Boulder, United States

Cross-Listed:
  • B - Biogeosciences
  • EP - Earth and Planetary Surface Processes
Index Terms:

1825 Geomorphology: fluvial [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1856 River channels [HYDROLOGY]
1860 Streamflow [HYDROLOGY]

Abstracts Submitted to this Session:

Estimation of river bathymetry and implications for regional scale flood inundation simulation on the Inner Niger Delta (Invited) (81957)
Jeffrey C Neal1, Mark Adam Trigg2, Fiachra O'Loughlin3, Andrew Smith2 and Christopher Charles Sampson4, (1)University of Bristol, School of Geographical Sciences, Bristol, BS8, United Kingdom, (2)University of Bristol, School of Geographical Sciences, Bristol, United Kingdom, (3)University College Dublin, School of Civil Engineering, Dublin, Ireland, (4)University of Bristol, Bristol, United Kingdom
Fully-Constrained Remote Estimation of River Discharge (83141)
Chung Hye Read, Department of Defense, Springfield, VA, United States and Benjamin P Cook, Arete Associates, Arlington, VA, United States
Computing Real-time Streamflow Using Emerging Technologies: Non-contact Radars and the Probability Concept (Invited) (86232)
John Wesley Fulton, USGS Colorado Water Science Center Denver, Denver, United States, David M Bjerklie, USGS Connecticut Water Science Center, East Hartford, CT, United States, John W. Jones, U.S. Geological Survey, Hydrologic Remote Sensing Branch, Kearneysville, United States and J. Toby Minear, USGS Office of Research, Rockville, CO, United States
Coupling airborne laser scanning and acoustic Doppler current profiler data to model stream rating curves (64444)
Norris Lam, Stockholm University, Stockholm, Sweden, Steve W Lyon, Stockholm University, Bolin Centre for Climate Research, Stockholm, Sweden and Jason W Kean, USGS Central Region Offices Denver, Denver, CO, United States
Automated estimation of river bathymetry using change detection based on Landsat imagery and river morphological models (81116)
Gennadii Donchyts1, Bert Jagers1, Nick Van De Giesen2, Fedor Baart1 and Arthur van Dam1, (1)Deltares, Delft, Netherlands, (2)Delft University of Technology, Faculty of Civil Engineering and Geosciences, Delft, Netherlands
River Discharge and Bathymetry Estimation from Hydraulic Inversion of Surface Currents and Water Surface Elevation Observations (71016)
Julian Simeonov, Naval Research Lab Stennis Space Center, Stennis Space Center, MS, United States and K. Todd Holland, Naval Research Laboratory, Stennis Space Center, MS, United States
Derivation of Global River Network Attributes Including Downscaled Runoff and Discharge Estimates at High Spatial Resolution (78826)
Bernhard Lehner, McGill University, Department of Geography, Montreal, QC, Canada and Simon Linke, Griffith University, Nathan, Australia
Fostering a regional vision on river systems by remote sensing (72338)
Simone Bizzi1, Hervé Piegay2 and Luca Demarchi1, (1)Joint Research Center Ispra, Ispra, Italy, (2)University of Lyon, CNRS UMR 5600, Lyon, France

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