EP002
Advances in the acquisition and application of high-resolution bathymetry in shallow freshwater environments.

Session ID#: 162350

Session Description:
While high resolution, high fidelity models of the exposed beds, banks and floodplains of rivers and lakes are now ubiquitous, the acquisition of comparable 3D data from shallow, subaqueous environments remains a continuing challenge.  Recent advances in sensors, platforms and algorithms however, present new opportunities to address this critical data gap and enable the development of seamless topo-bathy data models.  

An array of emerging technologies offer potential across differing spatial scales, from small-form multibeam sonar, to low-altitude shortwave lidar and multimedia photogrammetry, through to satellite laser altimetry.  Such data have the potential to enhance the characterization of physical habitat, quantify morphodynamics and enhance hydrodynamic modelling.  In this session we welcome contributions that bring together current research that focuses on new approaches for bathymetric data capture, methods to quantify data quality/uncertainty and novel applications of high-resolution bathymetry in shallow water environments.

Index Terms:

1825 Geomorphology: fluvial [HYDROLOGY]
1855 Remote sensing [HYDROLOGY]
1873 Uncertainty assessment [HYDROLOGY]
1895 Instruments and techniques: monitoring [HYDROLOGY]


Primary Convener:  Justin C Stout, University of Canterbury, Waterways Centre, Christchurch, New Zealand
Conveners:  James Brasington, University of Canterbury, Waterways Centre, Christchurch, New Zealand and Christopher J Garcia, Bureau of Reclamation Provo, Provo, UT, United States
 
The First Systematically Estimated Sand Mining Budget for the Mekong Delta (1060746)
Edward Park1,2, Charles Robin Gruel3, Adam D Switzer1,3, Sonu Kumar1,2, Ho Huu Loc4, Sameh Kantosh5, Doan Van Binh5,6 and Lian Feng7, (1)Earth Observatory of Singapore, Singapore, Singapore, (2)National Institute of Education, Nanyang Technological University, Singapore, Singapore, (3)Asian School of the Environment, Nanyang Technological University, Singapore, Singapore, (4)Asian Institute of Technology, Civil and Infrastructure Engineering, Surathani, Thailand, (5)Disaster Prevention Research Institute, Kyoto University, Kyoto, Japan, (6)Master Program in Water Technology, Reuse and Management, Vietnamese-German University, Ho Chi Minh City, Vietnam, (7)School of Environmental Science and Engineering, Southern University of Science and Technology of China, Shenzhen, China
 
A Continuous High-Resolution Profile of the Riverbed and Water Surface for 460-km of the Colorado River in Grand Canyon, Arizona (1066991)
Paul E Grams1, Matthew A Kaplinski2, Keith A Kohl1, Katherine A Chapman3 and Shannon Sartain1, (1)U.S. Geological Survey Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, Flagstaff, United States, (2)Northern Arizona University, School of Earth and Sustainability, Flagstaff, AZ, United States, (3)Northern Arizona University, School of Earth and Sustainability, Flagstaff, United States
 
Probabilistic Modelling of Bathymetric Retrievals with a New Class of Small Format Shortwave lidar (1136568)
Justin C Stout and James Brasington, University of Canterbury, Waterways Centre, Christchurch, New Zealand
 
Cloud based prediction of water depths in the Brahmaputra River using optical imagery from Sentinel 2 (1161382)
Riddick Kakati1, Subashisa Dutta1 and Santosha K. Dwivedy2, (1)Indian Institute of Technology Guwahati, Civil Engineering, Guwahati, India, (2)Indian Institute of Technology Guwahati, Mechanical Engineering, Guwahati, India
 
Topo-Bathy Lidar Sensor for Characterization of Shallow Freshwater Environments From A UAS Platform (1163457)
Jeffrey P Thayer1, Gerald Thompson2 and Kevin W. Sacca1, (1)University of Colorado at Boulder, Smead Aerospace Engineering Sciences, Boulder, United States, (2)Orion Space Solutions, Inc., Louisville, United States
 
Re-Investigating GNSS-INS Processing Techniques To Optimize Multibeam Bathymetry (1163726)
Peter Irewole Komolafe1, Johnson Oguntuase2 and Anand Devappa Hiroji2, (1)University of Southern Mississippi, Hydrographic Science Research Center, Department of Marine Sciences, Stennis Space Center, MS, United States, (2)University of Southern Mississippi, Hydrographic Science Research Center, Department of Marine Sciences, Stennis Space Center, United States