2024 Research: Year in Review

These 2024 research outputs cover riverine, pluvial, post-wildfire, and urban flood mapping.

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1. Large-scale flood modelling based on LiDAR data: a case study in the Southwest Miramichi watershed, New Brunswick, Canada

Journal: Canadian Water Resources Journal (Dec 2024)

• A LiDAR-based workflow estimated river bathymetry from Manning’s equation and water-surface slope across 512 km of the Miramichi watershed.
• The method offers a practical option for large-scale flood modelling where bathymetric surveys are limited.

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2. Pluvial flood modeling for coastal areas under future climate change – A case study for Prince Edward Island, Canada

Journal: Journal of Hydrology (Sep 2024)

• The project built a 2D rain-on-grid HEC-RAS model for Prince Edward Island under current and future IDF scenarios.
• Validated pluvial flood maps support municipal and island-wide planning for compound flood risk.

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3. Post-wildfire boreal forest vegetation cover change mapping via information fusion for secondary disaster risk assessments

Journal: IJAG (Sep 2024)

• Landsat 8 and WorldView imagery were fused to map vegetation change around Fort McMurray after wildfire.
• WorldView captured burn damage in greater detail than Landsat-based dNBR, with caveats around rapid herbaceous recovery.

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4. A rapid high-resolution multi-sensory urban flood mapping framework via DEM upscaling

Journal: Remote Sensing of Environment (Feb 2024)

• The framework upscaled 18 m DEM data to 2 m resolution and paired it with optical flood segmentation.
• Testing on Calgary’s 2013 flood showed strong flood-extent agreement while reducing manual labelling needs.

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