TY  - JOUR
A1  - Bryant, Seth
A1  - McGrath, Heather
A1  - Boudreault, Mathieu
T1  - Gridded flood depth estimates from satellite-derived inundations
T2  - 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
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/63977
SN  - 1561-8633
SN  - 1684-9981
VL  - 22
IS  - 4
SP  - 1437
EP  - 1450
PB  - European Geophysical Society
CY  - Katlenburg-Lindau
ER  -