JavaScript is Disabled
Your browser's JavaScript functionality is disabled. It has to be enabled to use this function of ConfTool.
Here you can find information on how to enable JavaScript
If you have any problems, please contact the organizers at csrs2024@crss-sct.ca.

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

Poster Session 5: Artificial Intelligence Methods and Models - Part 2

Time:

Wednesday, 12/June/2024:

4:40pm - 5:40pm

Location: SUB McInnes Room

Poster stand numbers: 01-07

Presentations

Machine Learning-Based Detection of Burned Areas and Preliminary Estimation of Carbon Emission in the 2023 Canadian Wildfires

Dr. Z. Zhong¹, C. Ottah¹, Dr. J. Bermúdez¹, Dr. C. Rogers², S. Qin¹, Dr. D. Han¹, R. B. Lourenço¹, K. So¹, Dr. A. Gonsamo¹

¹McMaster University, Hamilton, ON, Canada; ²Toronto Metropolitan University, Toronto, ON, Canada

Rapid Urban Flood Mapping with Low-Cost Annotations Based on Weakly Supervised Learning Method

Dr. Y. He¹, Dr. J. Wang¹, Dr. Y. Zhang², Dr. C. Liao³

¹Department of Geography and Environment, The University of Western Ontario, London, ON N6A 5C2, Canada; ²Canada Centre for Mapping and Earth Observation, Natural Resources Canada, 560 Rochester Street, Ottawa, ON K1S 5K2, Canada; ³School of Geospatial Engineering and Science, Sun Yat-Sen University, Zhuhai, Guangdong 519082, China

Improving AI Change and Damage Detection in Off-Nadir Imagery through Radiometric Enhancement

S. J. McNally, A. Nielsen, A. Barrieau, Dr. S. Jabari

University of New Brunswick, Canada

Spatio-temporal Change Detection of Wetlands in Ramsar Wetland Cities using Remote Sensing and GIS: A Case Study from Colombo Ramsar Wetland City, Sri Lanka (1988-2023)

U. I. Senanayake¹, D. K Weerakoon², K. Millard¹, S. Mitchell¹

¹Department of Geography and Environmental Studies,Carleton University, Canada; ²Department of Zoology and Environment Sciences, University of Colombo,Sri Lanka

Peat Depth and Carbon Storage of the Hudson Bay Lowlands, Canada

Y. Li¹, Dr. D. Han¹, Dr. C. Rogers², Dr. S. Finkelstein³, Dr. M. Packalen⁴, Dr. X. Geng⁵, Dr. J. McLaughlin⁴, Dr. J. Snider⁶, Dr. A. Gonsamo¹

¹McMaster University, Canada; ²Toronto Metropolitan University, Toronto, ON, Canada; ³University of Toronto, Toronto, ON, Canada; ⁴Ontario Ministry of Natural Resources and Forestry, Sault Ste. Marie, ON, Canada; ⁵Agriculture and Agri-Food Canada, Ottawa, ON, Canada; ⁶World Wildlife Fund Canada, Toronto, Ontario, Canada

Aerobiological and Microclimatic Monitoring Platform for the Preservation of Tangible Values in Museums and Archives

Dr. M. Montuori

University of Ferrara, Department of Architecture, Italy

Applying Machine Learning and Sentinel-2 Imagery to assessing Woody Plant Encroachment in southern Alberta Rangelands

E. N. Denning, Dr. E. G. Lamb, Dr. X. Guo

University of Saskatchewan, Canada

Mobile View Print View

Contact and Legal Notice · Contact Address:
Privacy Statement · Conference: CSRS 2024