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 csrs2025@crss-sct.ca.

Symposium Program

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 ***

Only Sessions at Date / Time

Preliminary Program of the Canadian Symposium on Remote Sensing

Session

Agriculture: Crop growth and soil moisture monitoring using microwave and optical remote sensing.

Time:

Wednesday, 18/June/2025:

1:00pm - 2:40pm

Session Chair: Dr. Hongquan Wang
Session Chair: Dr. Amir Chegoonian

Location: Birch Ballroom

Presentations

1:00pm - 1:20pm

Aerial Insights: Advancing Nitrogen Estimation in Field Crops using Multispectral Imaging

A. Chegoonian¹, K. Singh¹, C. Geddes¹, C. Hansen², H. Wang¹

¹Agriculture and Agri-Food Canada (AAFC); ²John Deere & Company

1:20pm - 1:40pm

Evaluation of a High-resolution L-band RPAS-mounted Sensor for Soil Moisture Estimation

H. K. J. Rusk, Dr. A. Berg, J. T. Ambadan, A. McLaren

University of Guelph, Canada

1:40pm - 2:00pm

Potential of RADARSAT Constellation Mission Compact Polarimetric Data for Soil Moisture Estimation in Agriculture

B. P. Mookkuthala Erkaramana¹, Dr. K. Goïta¹, Dr. R. Magagi¹, A. Fluhrer², F. Hellwig^2,3, Dr. T. Jagdhuber^2,3

¹Centre d'applications et de recherches en télédétection (CARTEL), University of Sherbrooke, Canada; ²Microwaves and Radar Institute, German Aerospace Center, Wessling, Germany; ³Institute of Geography, University of Augsburg, Germany

2:00pm - 2:20pm

A Deep Learning-Based Approach for High-Resolution Surface Soil Moisture Estimation: Feature Selection Using SAR and Optical Satellite Data

E. Jahan Nejadi, Dr. R. Magagi, Dr. K. Goïta

Centre d'applications et de recherches en télédétection (CARTEL), Université de Sherbrooke, Sherbrooke, Québec, Canada

2:20pm - 2:40pm

High-Throughput Imaging System for Early Detection of Root Rot Disease in Field Peas (Pisum sativum L.)

Dr. H. Wang, Dr. K. D. Singh, Dr. S. Chatterton, M. Natarajan

Agriculture and Agri-Food Canada (AAFC), Lethbridge Research and Development Centre, Lethbridge, AB, Canada