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Publication Additional Information Download
Publication Type
Journal Article
Authorship
Lindenschmidt, K. E., & Li, Z.
Title
Radar scatter decomposition to differentiate between running ice accumulations and intact ice covers along rivers
Year
2019
Publication Outlet
Remote Sensing, 11(3), 307
DOI
https://dx.doi.org/10.3390/rs11030307
Citation
Lindenschmidt, K. E., & Li, Z. (2019). Radar scatter decomposition to differentiate between running ice accumulations and intact ice covers along rivers. Remote Sensing, 11(3), 307. https://dx.doi.org/10.3390/rs11030307
Abstract
For ice-jam flood forecasting it is important to differentiate between intact ice covers and ice runs. Ice runs consist of long accumulations of rubble ice that stem from broken up ice covers or ice-jams that have released. A water wave generally travels ahead of the ice run at a faster celerity, arriving at the potentially high flood–risk area much sooner than the ice accumulation. Hence, a rapid detection of the ice run is necessary to lengthen response times for flood mitigation. Intact ice covers are stationary and hence are not an immediate threat to a downstream flood situation, allowing more time for flood preparedness. However, once ice accumulations are moving and potentially pose imminent impacts to flooding, flood response may have to switch from a mitigation to an evacuation mode of the flood management plan. Ice runs are generally observed, often by chance, through ground observations or airborne surveys. In this technical note, we introduce a novel method of differentiating ice runs from intact ice covers using imagery acquired from space-borne radar backscatter signals. The signals are decomposed into different scatter components—surface scattering, volume scattering and double-bounce—the ratios of one to another allow differentiation between intact and running ice. The method is demonstrated for the breakup season of spring 2018 along the Athabasca River, when an ice run shoved into an intact ice cover which led to some flooding in Fort McMurray, Alberta, Canada.
Program Affiliations
GWF: Global Water Futures
Publication Stage
Published
Download Links
https://dx.doi.org/10.3390/rs11030307
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