Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview | |
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Location: 716A 175 theatre |
| 8:30am - 10:00am |
IvS7B: Innovative Remote Sensing of Wetlands in Canada and Beyond Location: 716A Automated multi-temporal wetland mapping using Sentinel-2 in the Great Lakes-St Lawrence basin 8:45am - 9:00am High-Resolution Delineation of Coastal Marsh Boundaries: Evaluating Adaptive Thresholding and Machine Learning Approaches 9:00am - 9:15am Comparative Analysis of 5-band and 10-band Multispectral Drone Imagery for Salt Marsh Vegetation Mapping 9:15am - 9:30am Wetland classification and mapping in the Richelieu river watershed with Sentinel-1 sar and Sentinel-2 multispectral data 9:30am - 9:45am Monitoring coastal marsh vegetation features using high-resolution remote sensing |
| 1:30pm - 3:00pm |
IvS11: Remote Sensing and Geospatial Technologies for Vegetation Fire Management and Recovery Resilience Location: 716A Application of remote sensing data in ice modelling for a regulated river 1:45pm - 2:00pm Investigating the Sensitivity of multi-frequency SAR Coherence to flooded Arctic Landfast Ice 2:00pm - 2:15pm Segmentation of SAR imagery of river ice in the St. Lawrence River using deep learning: Preliminary steps to best practice 2:15pm - 2:30pm Retrieving Snow Water Equivalent (SWE) from satellite gravimetry using a spectral combination approach 2:30pm - 2:45pm Forecasting Ice Thickness on the Churchill River and Lake Melville, Labrador Using Machine Learning, 2023-2025 2:45pm - 3:00pm From Concept to Application: Machine Learning for Near-Real-Time River Ice Breakup Prediction Using SAR and Meteorological Data |
| 3:30pm - 5:15pm |
IvS10: Innovation in River Ice and Surveillance and Modeling: Best Practices and Emerging Technologies Location: 716A Mapping the Structural Complexity of Vancouver Island’s Forests with Deep Learning and LiDAR–Sentinel Data Fusion 3:45pm - 4:00pm Scaling LiDAR-derived forest biomass to optical and RADAR satellite imagery in peatlands: a systematic review and meta-analysis of modelling approaches and sensor performance 4:00pm - 4:15pm Habitat suitability mapping using satellite imagery and continuous landscape inventory CLI: a case study for new Brunswick, Canada 4:15pm - 4:30pm Quantifying Wildfire Impacts on Carbon Stock from Remote Sensing based Forest Disturbance and Recovery Monitoring 4:30pm - 4:45pm Wild Fire Early warning system: Global and Canadian Perspectives 4:45pm - 5:00pm Integrating UAV imagery and deep learning for small-scale land cover classification in post-rehabilitated ecosystems 5:00pm - 5:15pm Anomalous Moisture Signal in Sentinel-2 Imagery Precedes Overwintering Wildfire |
