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 |
IvS5: Next-Generation Flood Mapping: Integrating AI, Remote Sensing, and Evolving Landscapes Location: 716A Spatiotemporal Flood Susceptibility Mapping using a Hybrid CNN-ConvLSTM Architecture 8:45am - 9:00am Risk-guided Flood Segmentation from Optical Satellite Imagery using NDWI Threshold Optimization and Segment Anything Model. 9:00am - 9:15am Integration of Remote Sensing Indices and Ensemble Machine Learning with Independent HEC-RAS 2D Simulations for Improved Flood Hazard Assessment in the Ottawa River Watershed. 9:15am - 9:30am Multi-Event Machine Learning for Annual Flood Susceptibility Prediction at a National Scale 9:30am - 9:45am Geomorphometric analysis of urban fluvial terraces using UAV LiDAR: a case study from the La Silla River, Mexico |
| 1:30pm - 3:00pm |
IvS7A: Innovative Remote Sensing of Wetlands in Canada and Beyond Location: 716A Retrieving Peatland Soil Moisture from Polarimetric L- and C-band SAR to Support Carbon and Wildfire Assessments in Boreal Ecosystems 1:45pm - 2:00pm Using a Landsat multi-index and thermal image composite time series framework to evaluate hydroclimatic forcing and vegetation trajectories in the Peace-Athabasca Delta 2:00pm - 2:15pm Aquatic and Riparian Land Cover Trends across Mountainous Headwater Basins in Alberta, Canada 2:15pm - 2:30pm Transfer Learning using Functional Data Analysis of Seasonal SAR Time Series 2:30pm - 2:45pm Multi-scale DSM and Multi-temporal Sentinel-2 Derivatives for Wetland Mapping: A Boreal Case Study |
| 3:30pm - 5:15pm |
WG IV/6: Human Behaviour and Spatial Interactions Location: 716A Semantic-Enhanced Dynamic Spatial-Temporal Graph for Human Mobility Prediction 3:45pm - 4:00pm Development of a Perception-based Urban Quality of Life Index using Street View Imagery and Deep Learning: the Case of Metro Manila, Philippines 4:00pm - 4:15pm Detection and Modeling of Pedestrian Groups Based on Laser Sensor Trajectories 4:15pm - 4:30pm From sensing to understanding: modeling pedestrian crossing behavior from LiDAR-derived trajectories 4:30pm - 4:45pm Ring-based Spatial Transformer: Learning Non-linear Spatial Interactions between Building Distribution and Pedestrian Flow 4:45pm - 5:00pm Who Can Reach What? Travel-Time-Based Accessibility and Urban Inequality in Los Ángeles, Chile 5:00pm - 5:15pm Perception-Oriented 3D Blue–Green–Grey Urban Landscapes: A Multi-Source Data and XGBoost–SHAP Analysis in Geo-information Town 5:15pm - 5:30pm Active Mobility Accessibility Index - Assessing Local Transport Competitiveness 5:30pm - 5:45pm Causal Discovery and Deep Learning-based Interaction-aware Pedestrian Trajectory Prediction |
