Among the most prevalent natural hazards, flooding has been threatening human lives and properties. Robust flood simulation is required for effective response...
The Canadian Digital Elevation Model (CDEM) and the High-Resolution Digital Elevation Model (HRDEM) released by Natural Resources Canada are primary terrain...
Canada's RADARSAT missions improve the potential to study past flood events; however, existing tools to derive flood depths from this remote-sensing data do...
Digital elevation models (DEM) are an integral part of flood modelling. High resolution DEM data are not always available or affordable for communities, thus...
Synthetic Aperture Radar (SAR) imagery is a vital tool for flood mapping due to its capability to acquire images day and night in almost any weather and to...
Discrete Global Grid Systems (DGGS) have been increasingly adopted as a standard framework for multi-source geospatial data. Previous research largely studied...
As our climate changes the occurrence of extreme weather events and heavier rainfall is becoming more common. This change in weather patterns and precipitation...
Devastating floods occur regularly around the world. Recently, machine learning models have been used for flood susceptibility mapping. However, even when...
The Canada Centre for Mapping and Earth Observation (CCMEO) branch of Natural Resources Canada is supporting geographic analysis and evidence-based decision...
The most common and internationally accepted method of assessing building damage due to flooding is through the application of a depth-damage curve (DDC). A...
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