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Symposium Program

Overview and details of the sessions of the 45th 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 ***

Preliminary Program of the Canadian Symposium on Remote Sensing

Session

Scientific Session 07: Land Use and Land Cover Classification

Time:

Wednesday, 12/June/2024:

3:00pm - 4:40pm

Session Chair: Desmond Power
Session Chair: Dr. H Peter White

Location: SUB 270

Presentations

3:00pm - 3:20pm

Super-Resolution Domain Adaptation Networks for Semantic Segmentation of Linear Disturbances in Low-Resolution Satellite Imagery

Dr. A. M. Nagel¹, A. Webster², C. J. Henry³, C. Storie¹, O. Tsui², Dr. A. Dean²

¹University of Winnipeg, 515 Portage Ave, Winnipeg, MB, R3B 2E9; ²Hatfield Consultants, 200-850 Harbourside Dr, North Vancouver, BC, V7P 0A3; ³University of Manitoba, 66 Chancellors Cir, Winnipeg, MB, R2T 2N2

3:20pm - 3:40pm

Towards Precision Weed Management with Drone Technology: Evaluating the Efficiency of Aerial Imaging and Image Classifier in Detecting Spreading Dogbane in Lowbush Blueberry Fields

M. F. Bilodeau¹, C. Toombs¹, Dr. T. J. Esau¹, Dr. L. Calderwood²

¹1Department of Engineering, Faculty of Agriculture, Dalhousie University, Truro, Nova Scotia, Canada; ²2School of Food and Agriculture, University of Maine, Orono, Maine, United States

3:40pm - 4:00pm

Changes in Nova Scotia Forests: Assessing Forest Gain and Loss from 1986 to 2022

M. Moniruzzaman¹, G. Islam¹, M. M. Hasan¹, Dr. P. S. S. Matsumoto¹, Dr. M. Novak¹, Dr. P. Bush², Dr. K. R. Rahaman¹

¹Wicked Problems Lab (WPL), Saint Mary's University, 923 Robie Street, Halifax, NS, Canada B3H 3C3; ²Forestry Division, Department of Natural Resources and Renewables, 15 Arlington Place, Truro, NS B2N 0G9

4:00pm - 4:20pm

Reconstructing snow-free Sentinel-2 Satellite Imagery: A Generative Adversarial Network (GAN) approach.

Dr. T. S. Oluwadare¹, Dr. D. Chen¹, O. Oluwafemi², M. Babadi¹

¹Queens University, Canada; ²University of Toledo, Ohio, United States

4:20pm - 4:40pm

Exploring the Past and Informing the Future: Historical Urban Land-Use Classification and Change Detection in Fredericton Using U-Net Model

M. Ghobakhloo, M. Ghobakhloo, Y. Zhang, S. Mullaly

University of New Brunswick, Canada

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