TY  - JOUR
A1  - Bryant, Seth
A1  - McGrath, Heather
A1  - Boudreault, Mathieu
T1  - Gridded flood depth estimates from satellite-derived inundations
JF  - Natural hazards and earth system sciences
N2  - 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 not correct for errors, leading to poor estimates. 
To provide more accurate gridded depth estimates of historical flooding, a new tool is proposed that integrates Height Above Nearest Drainage and Cost Allocation algorithms. This tool is tested against two trusted, hydraulically derived, gridded depths of recent floods in Canada. 
This validation shows the proposed tool outperforms existing tools and can provide more accurate estimates from minimal data without the need for complex physics-based models or expert judgement. 
With improvements in remote-sensing data, the tool proposed here can provide flood researchers and emergency managers accurate depths in near-real time.
Y1  - 2022
U6  - https://doi.org/10.5194/nhess-22-1437-2022
SN  - 1561-8633
SN  - 1684-9981
VL  - 22
IS  - 4
SP  - 1437
EP  - 1450
PB  - European Geophysical Society
CY  - Katlenburg-Lindau
ER  - 
TY  - JOUR
A1  - Bryant, Seth
A1  - Davies, Evan
A1  - Sol, David
A1  - Davis, Sandy
T1  - The progression of flood risk in southern Alberta since the 2013 flood
JF  - Journal of flood risk management
N2  - After a century of semi-restricted floodplain development, Southern Alberta, Canada, was struck by the devastating 2013 Flood. Aging infrastructure and limited property-level floodproofing likely contributed to the $4-6 billion (CAD) losses. Following this catastrophe, Alberta has seen a revival in flood management, largely focused on structural protections. However, concurrent with the recent structural work was a 100,000+ increase in Calgary's population in the 5 years following the flood, leading to further densification of high-hazard areas. This study implements the novel Stochastic Object-based Flood damage Dynamic Assessment (SOFDA) model framework to quantify the progression of the direct-damage flood risk in a mature urban neighborhood after the 2013 Flood. Five years of remote-sensing data, property assessment records, and inundation simulations following the flood are used to construct the model. Results show that in these 5 years, vulnerability trends (like densification) have increased flood risk by 4%; however, recent structural mitigation projects have reduced overall flood risk by 47% for this case study. These results demonstrate that the flood management revival in Southern Alberta has largely been successful at reducing flood risk; however, the gains are under threat from continued development and densification absent additional floodproofing regulations.
KW  - Calgary
KW  - depth-damage functions
KW  - expected annual damages
KW  - flood risk
KW  - model
KW  - property level protection measures
KW  - risk analysis
KW  - risk dynamics
Y1  - 2022
U6  - https://doi.org/10.1111/jfr3.12811
SN  - 1753-318X
VL  - 15
IS  - 3
PB  - Wiley-Blackwell
CY  - Oxford
ER  -