Overview and details of the sessions of the 46th Canadian Symposium on Remote Sensing. Please select a date or location to show only sessions at that day or location. Please select a single session for further details on the presentations. Once you select a session or choose the List View of the program, you can access the extended abstracts by clicking on the button "Show Downloads" . *** You should be logged into your ConfTool account to be able to see the downloadable items ***
Tracking complex surface water dynamics in Arctic and Boreal regions using multi-source satellite imagery and time series decomposition
Dr. B. DeVries1, Y. Wang1, X. Jones-Imhotep1, Dr. J. Lindsay1, Dr. P. Marsh2, Dr. H. Wheeler3
1Department of Geography, Environment and Geomatics, University of Guelph, Canada; 2Department of Geography and Environmental Studies, Wilfrid Laurier University, Canada; 3School of Life Sciences, Anglia Ruskin University, Cambridge, United Kingdom
3:20pm - 3:40pm
Identifying Dynamic Water/Wetland Using Seasonal SAR Time Series in the Prairie Pothole Region of Canada: Application of Functional Data Analysis
Dr. A. Behnamian1, C. Robertson1, Dr. K. Chu2, Dr. J. Pasher1, J. Duffe1
1Environment and Climate Change Canada, Canada; 2Statistics Canada
3:40pm - 4:00pm
Comparative Analysis of UAVSAR Polarimetric Decompositions for Wetland Aboveground Biomass Mapping Using Machine Learning Models
M. Hemati1, M. Mahdianpari1,2, H. Shiri3, F. Mohammadimanesh4
1Department of Electrical and Computer Engineering, Faculty of Engineering and Applied Sciences, Memorial University of Newfoundland; 2C-CORE; 3Civil Engineering Department, Faculty of Engineering and Applied Sciences, Memorial University of Newfoundland; 4Canada Centre for Remote Sensing, Natural Resources Canada
4:00pm - 4:20pm
Climate and human impact shape long-term phytoplankton dynamics in the Lake Winnipeg watershed
S. Mohammady1, Dr. I. Creed2
1University of Saskatchewan; 2University of Toronto Scarborough
4:20pm - 4:40pm
Wetland Ecosystem Dynamics Monitoring Through Integrated Multi-Sensor Optical-SAR Framework: A Comprehensive Global Approach
