C033
Remote Sensing of Freshwater Ice

Session ID#: 72333

Session Description:
Frozen freshwater lakes and rivers are integral components of biological, chemical and hydrological systems in Arctic and subarctic regions, covering 2% of Earth’s land surface. The presence of freshwater ice has numerous implications, including economic (ice road transportation, hydroelectric power generation), climatic (landscape-scale atmosphere heat inputs), and habitat (fish overwintering). The thickness and timing of ice development and melt can be a proxy for observing changes in climate. Use of optical, thermal, and microwave remote sensing has improved the ability to monitor ice properties absent of (or in combination with) manual observations.
This session aims to share recent research on the observation and quantification of freshwater ice properties on rivers and lakes using a range of remote sensing datasets and techniques. The session will bring together presentations detailing how remote sensing can advance understanding of frozen fresh waterbodies, with methods including polarimetry, interferometry, time series analysis, machine learning, and/or algorithm development.
Index Terms:

0738 Ice [CRYOSPHERE]
0744 Rivers [CRYOSPHERE]
0746 Lakes [CRYOSPHERE]
0758 Remote sensing [CRYOSPHERE]

Primary Convener:  Grant E Gunn, Michigan State University, Geography, Environment, and Spatial Sciences, East Lansing, MI, United States
Conveners:  Claude R Duguay, University of Waterloo, Department of Geography & Environmental Management and Interdisciplinary Centre on Climate Change (IC3), Waterloo, ON, Canada, Samuel E Tuttle, Boston University, Boston, MA, United States; Mount Holyoke College, South Hadley, MA, United States and Dorothy K Hall, NASA Goddard Space Flight Center, Cryospheric Sciences Laboratory, Greenbelt, MD, United States
Primary Liaison:  Grant E Gunn, Michigan State University, Geography, Environment, and Spatial Sciences, East Lansing, MI, United States
 
Correlation Radiometry to Remotely Measure the Freshwater Lake Icepack Thickness (Invited) (493404)
Seyedmohammad Mousavi, University of Michigan Ann Arbor, Electrical Engineering, Ann Arbor, MI, United States, Roger D De Roo, University of Michigan-AOSS, Ann Arbor, MI, United States, Kamal Sarabandi, University of Michigan Ann Arbor, Ann Arbor, MI, United States and Anthony W England, University of Michigan, College of Engineering and Computer Science, Dearborn, MI, United States
 
Pan-Arctic detection of river ice breakup and freeze-up timing on rivers wider than 150m using MODIS imagery from 2000-2019 (497297)
Wayana Dolan and Tamlin Pavelsky, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
 
Retrieval of ice/water observations and uncertainty information in Lake Erie using a convolutional neural network (Invited) (499747)
Katharine Andrea Scott, University of Waterloo, Waterloo, ON, Canada, Linlin Xu, University of Waterloo, Department of Systems Design Engineering, Waterloo, ON, Canada and Homa Kheyrollah Pour, Assistant Professor, Department of Geography, Waterloo, Canada
 
Lake Ice Mapping using Machine Learning Techniques from Multispectral Optical Remote Sensing Data (503367)
Yuhao Wu, University of Waterloo, Department of Geography & Environmental Management, Waterloo, ON, Canada, Claude R Duguay, University of Waterloo, Department of Geography & Environmental Management and Interdisciplinary Centre on Climate Change (IC3), Waterloo, ON, Canada and Linlin Xu, University of Waterloo, Department of Systems Design Engineering, Waterloo, ON, Canada
 
Modeling of Lake Ice Sublimation and Evolution Based on Assimilation of Satellite Altimetry Data and a One-dimensional Lake Ice Model in Tibetan Lakes (509754)
Xingdong Li, Di Long, Pengfei Han and Qi Huang, Tsinghua University, Department of Hydraulic Engineering, Beijing, China
 
Consistent, Long-term Ice Cover Observations and Satellite Altimetry Ice Thickness Retrieval Studies for the Laurentian Great Lakes (589805)
Ting-Yi Yang1, James Kessler2, Lacey Mason2, Philip Chu2, Jia Wang2, Yuanyuan Jia1 and C.K. Shum1, (1)The Ohio State University, Division of Geodetic Science, School of Earth Sciences, Columbus, OH, United States, (2)NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States
 
The Potential to Retrieve Lake Ice Thickness Through SAR Interferometry: Case Study in Utqiagvik, Alaska (606532)
Grant E Gunn, University of Waterloo, Geography and Environmental Management, Waterloo, ON, Canada and Kelsey E Nyland, Michigan State University, Department of Geography, Environment, and Spatial Sciences, East Lansing, MI, United States
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