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 ***
Early Detection of Woody Plant Expansion in Canadian Prairie Based on Drone Imagery and Deep Learning
Y. Pu, X. Lu, I. Soubry, Dr. X. Guo
University of Saskatchewan, Canada
1:20pm - 1:40pm
Multi-Source Earth Observation Analysis in Canadian Grasslands: Enhancing Woody Plant Encroachment Detection & Benefits to the Environment and Economy
Dr. I. Soubry1, Dr. L. N. Maros2, Dr. X. Guo1, Dr. R. S. Gray2, Dr. E. Lamb3
1Department of Geography and Planning, University of Saskatchewan, Canada; 2Department of Agricultural & Resource Economics, University of Saskatchewan, Canada; 3Department of Plant Sciences, University of Saskatchewan, Canada
1:40pm - 2:00pm
Remote Sensing-Based Quantification and Mapping of Native Tree Cover in Saskatchewan’s Prairie Landscape
Dr. E. Shafeian1, Dr. B. J. Mood1, Dr. K. W. Belcher2, Dr. C. P. Laroque1
1Mistik Askiwin Dendrochronology Laboratory, Department of Soil Science, University of Saskatchewan, Saskatoon, Canada; 2Department of Agricultural and Resource Economics, University of Saskatchewan, Saskatoon, Canada
2:00pm - 2:20pm
Multi-Year Multitemporal Sentinel-1 and Sentinel-2 Imagery for Native Grassland and Seeded Forage Identification Across a Gradient of Southern Alberta Prairie Ecoregions
Dr. E. J. Lindsay1, Dr. C. Champagne1, B. Houston2, Dr. B. Daneshfar1, Dr. S. Mitchell3
1Agriculture and Agri-Food Canada, Canada, Ottawa, ON; 2Agriculture and Agri-Food Canada, Canada, Regina, SK; 3Carleton University, Department of Geography and Environmental Studies
2:20pm - 2:40pm
Machine learning models for improving subtropical forest biomass estimation using Sentinel-1/2 synergy
A. Aidoo Borsah1, M. S. Wong1,2, M. Nazeer1, G. Shi1,2
1The Hong Kong Polytechnic University, Hong Kong S.A.R. (China); 2Research Institute for Land and Space, The Hong Kong Polytechnic University, Hong Kong, China
