Radar Scatter Decomposition to Differentiate between Running Ice Accumulations and Intact Ice Covers along Rivers
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, ar...
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ftmdpi:oai:mdpi.com:/2072-4292/11/3/307/ 2023-08-20T04:05:08+02:00 Radar Scatter Decomposition to Differentiate between Running Ice Accumulations and Intact Ice Covers along Rivers Karl–Erich Lindenschmidt Zhaoqin Li 2019-02-03 application/pdf https://doi.org/10.3390/rs11030307 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs11030307 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 11; Issue 3; Pages: 307 Athabasca River decomposition Fort McMurray ice run MODIS RADARSAT-2 Text 2019 ftmdpi https://doi.org/10.3390/rs11030307 2023-07-31T22:01:15Z 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. Text Athabasca River Fort McMurray MDPI Open Access Publishing Fort McMurray Athabasca River Canada Remote Sensing 11 3 307 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
Athabasca River decomposition Fort McMurray ice run MODIS RADARSAT-2 |
spellingShingle |
Athabasca River decomposition Fort McMurray ice run MODIS RADARSAT-2 Karl–Erich Lindenschmidt Zhaoqin Li Radar Scatter Decomposition to Differentiate between Running Ice Accumulations and Intact Ice Covers along Rivers |
topic_facet |
Athabasca River decomposition Fort McMurray ice run MODIS RADARSAT-2 |
description |
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. |
format |
Text |
author |
Karl–Erich Lindenschmidt Zhaoqin Li |
author_facet |
Karl–Erich Lindenschmidt Zhaoqin Li |
author_sort |
Karl–Erich Lindenschmidt |
title |
Radar Scatter Decomposition to Differentiate between Running Ice Accumulations and Intact Ice Covers along Rivers |
title_short |
Radar Scatter Decomposition to Differentiate between Running Ice Accumulations and Intact Ice Covers along Rivers |
title_full |
Radar Scatter Decomposition to Differentiate between Running Ice Accumulations and Intact Ice Covers along Rivers |
title_fullStr |
Radar Scatter Decomposition to Differentiate between Running Ice Accumulations and Intact Ice Covers along Rivers |
title_full_unstemmed |
Radar Scatter Decomposition to Differentiate between Running Ice Accumulations and Intact Ice Covers along Rivers |
title_sort |
radar scatter decomposition to differentiate between running ice accumulations and intact ice covers along rivers |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2019 |
url |
https://doi.org/10.3390/rs11030307 |
geographic |
Fort McMurray Athabasca River Canada |
geographic_facet |
Fort McMurray Athabasca River Canada |
genre |
Athabasca River Fort McMurray |
genre_facet |
Athabasca River Fort McMurray |
op_source |
Remote Sensing; Volume 11; Issue 3; Pages: 307 |
op_relation |
https://dx.doi.org/10.3390/rs11030307 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs11030307 |
container_title |
Remote Sensing |
container_volume |
11 |
container_issue |
3 |
container_start_page |
307 |
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1774715615539363840 |