The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


Conveners will be contacted by the AGU25 Program Committee with any requests for mergers or edits to proposals. Conveners will be notified of the acceptance of their proposal in mid-June.


Abstract submissions will also open in mid-June and the deadline for abstract submissions is 30 July, 2025.


Please visit the AGU25 website for more information or please contact AGU with any questions.

Session Proposal: Advances in River Morphology Science, Tools and Datasets: Improving Our Understanding of Rivers (AGU25)

H020
Advances in River Morphology Science, Tools and Datasets: Improving Our Understanding of Rivers

Session ID#: 247541

Session Description:
River morphology, or the shape and composition of river channels and their change through time, has fundamental effects on society and the environment. Issues such as flood hazard levels, health of aquatic and riparian habitat, sediment and nutrient transport, and biogeochemical cycling are all affected by river morphology. Yet, despite this importance, the spatial patterns and temporal trends in river morphology remain some of least known parts of the landscape. For this session, we welcome contributions that advance river morphology science, including but not limited to the development of hydroinformatics tools, machine learning techniques, and other computational methods for processing river bathymetry data from sources like NASA’s SWOT and ICESat-2 satellite missions, topobathymetric lidar and sonar multibeams, the generation and dissemination of hydro-linked river bathymetry datasets, and their applications in hydrology and hydrodynamics across diverse spatial and temporal scales.
Co-Sponsor(s):
  • EP - Earth and Planetary Surface Processes
  • IN - Informatics
Index Terms:

1824 Geomorphology: general [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1856 River channels [HYDROLOGY]
1862 Sediment transport [HYDROLOGY]
Primary Convener:  Venkatesh Merwade, Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, United States
Conveners:  Taher Chegini, Purdue University, West Lafayette, IN, United States, Sayan Dey, Saint Louis University, Taylor Geospatial Institute, St Louis, United States and Marian Muste, The University of Iowa, Iowa City, IA, United States
 
Toward an Open-Source Toolkit for ADCP-Based Hydrodynamics and Sediment Transport Analysis: From Field Data to Reproducible Insight (1856225)
Mohammd Tanvir Haque Tuhin1,2, Christoph Mudersbach2 and Reinhard Hinkelmann1, (1)Technische Universität Berlin, Chair of Water Resources Management and Modeling of Hydrosystems, Institute of Civil Engineering, Berlin, Germany, (2)Bochum University of Applied Sciences, Institute of Hydraulic Engineering and Hydromechanics, Department of Civil and Environmental Engineering, Bochum, Germany
 
Terrain-Based Tools to Represent River Corridors Across Scales (Invited) (1875200)
Belize Arela Albin Lane, Utah State University, Civil and Environmental Engineering, Logan, UT, United States, Colin B Phillips, Utah State University, Civil & Environmental Engineering and Utah Water Research Laboratory, Logan, United States and Gregory B Pasternack, University of California Davis, Department of Land, Air and Water Resources, Davis, CA, United States
 
Automated Basin-Scale River Reach Segmentation using Morphologic Attributes Derived from Sentinel-1 SAR and SAM2 Deep Learning Foundation Model (1880465)
Tantu Mandal1, Hongxing Liu1, Sagy Cohen1, Dan Tian1 and Lei Wang2, (1)The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, (2)Louisiana State University, Department of Geography and Anthropology, Baton Rouge, LA, United States
 
Automated Extraction of River Channels and Morphological Attributes from SAR Imagery Using a Fine-Tuned Deep Learning Foundation Model and Computer Vision Post-Processing Algorithms (1882341)
Hongxing Liu1, Tantu Mandal2, Lei Wang3, Dan Tian2, Sagy Cohen2 and Song Shu4, (1)University of Alabama, Tuscaloosa, AL, United States, (2)The University of Alabama, Department of Geography and the Environment, Tuscaloosa, AL, United States, (3)Louisiana State University, Department of Geography and Anthropology, Baton Rouge, LA, United States, (4)Appalachian State University, Department of Geography and Planning, Boone, NC, United States
 
What controls river pothole formation? A global analysis reveals the role of geometry and lithology (1900544)
Manudeo Narayan Singh, Stephen Tooth and Hywel Griffiths, Aberystwyth University, Department of Geography and Earth Sciences, Aberystwyth, United Kingdom
 
A Machine Learning Approach to Global Calculation of At-a-Station Hydraulic Geometry (AHG) Parameters (1911599)
Jenna Brooks, Northeastern University, Civil and Environmental Engineering, Boston, MA, United States, Edward Beighley, Northeastern University, Department of Civil and Environmental Engineering, Boston, United States, Kelsey Pieper, University of North Carolina at Charlotte, Department of Civil and Environmental Engineering, Charlotte, North Carolina, United States and C. Nathan Jones, University of Alabama, Biological Sciences, Tuscaloosa, Alabama, United States
 
The Evolving Structure of Landscapes: Linking Basin Morphology and Energy Efficiency (1916743)
Saba Raina1, Mr. Dnyanesh Borse, PhD Candidate2 and Basudev Biswal1, (1)Indian Institute of Technology Bombay, Department of Civil Engineering, Mumbai, India, (2)University of Central Florida, Department of Civil, Environmental, Orlando, FL, United States
 
Exploring the application of SWOT satellite data for monitoring river dynamics over Bangladesh (1920226)
Smita Sharma1, Nishan Kumar Biswas2 and Shahoriar Sarker1, (1)University of Dhaka, Dhaka, Bangladesh, (2)NASA Goddard Space Flight Center, Hydrological Sciences Laboratory, Greenbelt, MD, United States
 
RIMORPHIS – A platform for discovering and processing river morphology data (1920328)
Venkatesh Merwade, Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, United States, Amanda Cox, Saint Louis University Main Campus, Civil Engineering, Saint Louis, United States, Ibrahim Demir, Tulane University of Louisiana, New Orleans, United States, J. Toby Minear, USGS, Baltimore, United States and Marian Muste, The University of Iowa, Iowa City, IA, United States
 
Bankfull and Beyond: Identifying persistent reach-scale river corridor features from high-resolution topography (1926064)
Noelle Patterson1, Jose Castejon Villalobos2, Anzy Lee2, Belize Arela Albin Lane2, Rebecca Manners Diehl3 and Colin B Phillips4, (1)Utah State University, Civil and Environmental Engineering, Logan, United States, (2)Utah State University, Civil and Environmental Engineering, Logan, UT, United States, (3)University of Vermont, Department of Geography and Geosciences, Burlington, VT, United States, (4)Utah State University, Civil & Environmental Engineering and Utah Water Research Laboratory, Logan, United States
 
Advancing Suspended Sediment Distribution Measurements in River Systems Using Down-looking Acoustic Doppler Current Profilers (ADCPs) (1926599)
Sadia Afrin Khan1, Justin Boldt2, Lucas G. Dominguez Ruben3, Ricardo Nicolas Szupiany3, Molly Wood4 and Jonathan A Czuba1, (1)Virginia Polytechnic Institute and State University, Biological Systems Engineering, Blacksburg, United States, (2)Hydrologist, U.S. Geological Survey, Louisville, United States, (3)National University of the Littoral and National Council of Scientific and Technical Research, Center for Fluvial and Hydro-Environmental Studies of the Littoral, Faculty of Engineering and Water Sciences, Santa Fe, Argentina, (4)Division Director, U.S. Geological Survey, Boise, United States
 
Evaluating SWOT Data for Estimating River Bathymetry (1929914)
Shishir Chaulagain, Purdue University, West Lafayette, IN, United States, Venkatesh Merwade, Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, United States and J. Toby Minear, CIRES/University of Colorado, Boulder, United States
 
Flow-Network Topology and Hydroconditioning for Restoring Managed Wetlands (1936771)
Uma Ashrani, University of Minnesota Twin Cities, Minneapolis, MN, United States, Zach Hilgendorf, University of Wisconsin Eau Claire, Department of Geography and Anthropology, Eau Claire, United States and Andrew D Wickert, University of Minnesota Twin Cities, Department of Earth & Environmental Sciences and Saint Anthony Falls Laboratory, Minneapolis, United States
 
Development of a Sine Function-Based Vertical Velocity Profile Model Capable of Representing the Velocity Dip (1938806)
Keita Inoue, Chuo University, Human and Environmental Science and Engineering Course, Bunkyo-ku,Tokyo, Japan and Taichi Tebakari, Chuo University, Depertment of Civil and Environmental Engineering, Bunkyo-ku,Tokyo, Japan
 
Assessing the accuracy of different Open-source Digital Elevation Models (DEMs) in morphometric analysis of Kanchi River basin (1941488)
Arun Mondal, University of Allahabad, Department of Geography, Allahabad, India, Sananda Kundu, Manipur University, Department of Geography, Imphal, India, Anupam Pandey, University of Allahabad, Department of Geography, Prayagraj, India, Venkataraman (Venkat) Lakshmi, University of Virginia, Civil and Environmental Engineering, Charlottesville, United States and Anupam Pandey
 
Leveraging SWOT Data for Improved Avulsion Probability Estimation in the Upper Koshi River (1946633)
Carly Koppe, Saint Louis University, Department of Earth and Atmospheric Sciences, St. Louis, United States, Bo Wang, Saint Louis University Main Campus, Earth, Environment, and Geospatial Science, Saint Louis, United States, JAMES Gearon, Indiana University Bloomington, Earth and Atmospheric Science, Bloomington, United States and Douglas A Edmonds, Indiana University Bloomington, Department of Earth and Atmospheric Sciences, Bloomington, IN, United States
 
A CONUS-scale Synthetic River Bathymetry Generation Workflow (1956404)
Taher Chegini, Purdue University, West Lafayette, IN, United States and Venkatesh Merwade, Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, United States
 
Impacts of DEM resolutions on channel network topology-based hydrological modelling (1957567)
Saroj Rana, Sagar R Chavan and Ranjeet Singh Rehal, Indian Institute of Technology Ropar, Rupnagar, Punjab-140001, India
 
Assessing River Alteration Through High Flow Characteristics (1967048)
Sajiv Karthiraj, Lawton Chiles High School, Tallahassee, FL, UNITED STATES, Sanjay Karthiraj, Lawton Chiles High School, Tallahassee, United States, Herbert Franklin, Florida Fish & Wildlife Conservation Commision, Tallahassee, United States, KarthiRaj Periaswamy, Florida Department of State, BDIS, Tallahassee, United States and Anandhi Aavudai, Florida Agricultural and Mechanical University, Biological Systems Engineering, Tallahassee, United States
 
Longitudinal Bed Material Changes on the Atchafalaya River, Louisiana from 1932 to 2020 (1969549)
Travis A Dahl, Kathleen Harris and Brooke Myers, US Army Engineer Research and Development Center, Coastal & Hydraulics Laboratory, Vicksburg, United States
 
Substrate Distribution and Channel Morphology in the Delaware River Before and After USACE Main Channel Deepening Efforts (2013–2020) (1974847)
Catherine Hughes1, John Madsen1 and Dewayne Fox2, (1)University of Delaware, Earth Sciences, Newark, United States, (2)Delaware State University, Department of Agriculture and Natural Resources, Dover, United States
 
Evolving Bathymetry, Emerging Errors: How Changes in River Bathymetry Impact Uncertainty in Flood Forecasting (1986607)
Sayan Dey, Saint Louis University Main Campus, Department of Earth, Environmental and Geospatial Science, Saint Louis, United States, Taher Chegini, Purdue University, West Lafayette, IN, United States, Amanda Cox, Saint Louis University Main Campus, Civil Engineering, Saint Louis, United States, Venkatesh Merwade, Purdue University, Lyles School of Civil and Construction Engineering, West Lafayette, United States and Vasit Sagan, Taylor Geospatial Institute, Saint Louis, United States; Saint Louis University Main Campus, Saint Louis, United States
 
SWOT Discharge performance, error budget, timeline and science use cases (Invited) (1987431)
Michael T Durand, Byrd Polar and Climate Research Center, Columbus, United States, Colin J Gleason, University of Massachusetts Amherst, Civil & Environmental Engineering, Amherst, United States, Kevin Larnier, Hydro Matters, Toulouse, France, Pierre-Olivier Malaterre, INRAE, Montpellier, France, Stephen Paul Coss, Byrd Polar Research Center, Columbus, United States, Yushan Zhang, Ohio State University Main Campus, Columbus, OH, United States, Hind Oubanas, IRSTEA, Antony Cedex, France and Tamlin Pavelsky, University of North Carolina at Chapel Hill, Earth, Marine and Environmental Sciences, Chapel Hill, United States
 
Capturing the short-term evolution of complex river channel morphology with repeat lidar point clouds (1999098)
Mariel D. Nelson, Timothy A Goudge and David C Mohrig, University of Texas at Austin, Department of Earth and Planetary Sciences, Jackson School of Geosciences, Austin, TX, United States
 
Entropy-Based and Traditional Velocity Distribution Equations for Open Channel Flows: Adverse Channel Bed Slope Analysis (1999533)
Gurpinder Singh, Indian Institute of Technology Delhi, Department of Civil Engineering, New Delhi, India and Rakesh Khosa, IIT Delhi, Delhi, India
See more of: Hydrology