Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry

Bottomfast sea ice is an integral part of many near-coastal Arctic ecosystems with implications for subsea permafrost, coastal stability and morphology. Bottomfast sea ice is also of great relevance to over-ice travel by coastal communities, industrial ice roads, and marine habitats. There are curre...

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Published in:Remote Sensing
Main Authors: Dyre O. Dammann, Leif E. B. Eriksson, Andrew R. Mahoney, Christopher W. Stevens, Joost Van der Sanden, Hajo Eicken, Franz J. Meyer, Craig E. Tweedie
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2018
Subjects:
Ice
Online Access:https://doi.org/10.3390/rs10050720
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spelling ftmdpi:oai:mdpi.com:/2072-4292/10/5/720/ 2023-08-20T04:03:49+02:00 Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry Dyre O. Dammann Leif E. B. Eriksson Andrew R. Mahoney Christopher W. Stevens Joost Van der Sanden Hajo Eicken Franz J. Meyer Craig E. Tweedie agris 2018-05-07 application/pdf https://doi.org/10.3390/rs10050720 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs10050720 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 10; Issue 5; Pages: 720 sea ice sea ice deformation bottomfast ice landfast sea ice Arctic synthetic aperture radar InSAR Text 2018 ftmdpi https://doi.org/10.3390/rs10050720 2023-07-31T21:30:34Z Bottomfast sea ice is an integral part of many near-coastal Arctic ecosystems with implications for subsea permafrost, coastal stability and morphology. Bottomfast sea ice is also of great relevance to over-ice travel by coastal communities, industrial ice roads, and marine habitats. There are currently large uncertainties around where and how much bottomfast ice is present in the Arctic due to the lack of effective approaches for detecting bottomfast sea ice on large spatial scales. Here, we suggest a robust method capable of detecting bottomfast sea ice using spaceborne synthetic aperture radar interferometry. This approach is used to discriminate between slowly deforming floating ice and completely stationary bottomfast ice based on the interferometric phase. We validate the approach over freshwater ice in the Mackenzie Delta, Canada, and over sea ice in the Colville Delta and Elson Lagoon, Alaska. For these areas, bottomfast ice, as interpreted from the interferometric phase, shows high correlation with local bathymetry and in-situ ice auger and ground penetrating radar measurements. The technique is further used to track the seasonal evolution of bottomfast ice in the Kasegaluk Lagoon, Alaska, by identifying freeze-up progression and areas of liquid water throughout winter. Text Arctic Ice Mackenzie Delta permafrost Sea ice Alaska MDPI Open Access Publishing Arctic Canada Mackenzie Delta ENVELOPE(-136.672,-136.672,68.833,68.833) Remote Sensing 10 5 720
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic sea ice
sea ice deformation
bottomfast ice
landfast sea ice
Arctic
synthetic aperture radar
InSAR
spellingShingle sea ice
sea ice deformation
bottomfast ice
landfast sea ice
Arctic
synthetic aperture radar
InSAR
Dyre O. Dammann
Leif E. B. Eriksson
Andrew R. Mahoney
Christopher W. Stevens
Joost Van der Sanden
Hajo Eicken
Franz J. Meyer
Craig E. Tweedie
Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry
topic_facet sea ice
sea ice deformation
bottomfast ice
landfast sea ice
Arctic
synthetic aperture radar
InSAR
description Bottomfast sea ice is an integral part of many near-coastal Arctic ecosystems with implications for subsea permafrost, coastal stability and morphology. Bottomfast sea ice is also of great relevance to over-ice travel by coastal communities, industrial ice roads, and marine habitats. There are currently large uncertainties around where and how much bottomfast ice is present in the Arctic due to the lack of effective approaches for detecting bottomfast sea ice on large spatial scales. Here, we suggest a robust method capable of detecting bottomfast sea ice using spaceborne synthetic aperture radar interferometry. This approach is used to discriminate between slowly deforming floating ice and completely stationary bottomfast ice based on the interferometric phase. We validate the approach over freshwater ice in the Mackenzie Delta, Canada, and over sea ice in the Colville Delta and Elson Lagoon, Alaska. For these areas, bottomfast ice, as interpreted from the interferometric phase, shows high correlation with local bathymetry and in-situ ice auger and ground penetrating radar measurements. The technique is further used to track the seasonal evolution of bottomfast ice in the Kasegaluk Lagoon, Alaska, by identifying freeze-up progression and areas of liquid water throughout winter.
format Text
author Dyre O. Dammann
Leif E. B. Eriksson
Andrew R. Mahoney
Christopher W. Stevens
Joost Van der Sanden
Hajo Eicken
Franz J. Meyer
Craig E. Tweedie
author_facet Dyre O. Dammann
Leif E. B. Eriksson
Andrew R. Mahoney
Christopher W. Stevens
Joost Van der Sanden
Hajo Eicken
Franz J. Meyer
Craig E. Tweedie
author_sort Dyre O. Dammann
title Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry
title_short Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry
title_full Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry
title_fullStr Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry
title_full_unstemmed Mapping Arctic Bottomfast Sea Ice Using SAR Interferometry
title_sort mapping arctic bottomfast sea ice using sar interferometry
publisher Multidisciplinary Digital Publishing Institute
publishDate 2018
url https://doi.org/10.3390/rs10050720
op_coverage agris
long_lat ENVELOPE(-136.672,-136.672,68.833,68.833)
geographic Arctic
Canada
Mackenzie Delta
geographic_facet Arctic
Canada
Mackenzie Delta
genre Arctic
Ice
Mackenzie Delta
permafrost
Sea ice
Alaska
genre_facet Arctic
Ice
Mackenzie Delta
permafrost
Sea ice
Alaska
op_source Remote Sensing; Volume 10; Issue 5; Pages: 720
op_relation Ocean Remote Sensing
https://dx.doi.org/10.3390/rs10050720
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs10050720
container_title Remote Sensing
container_volume 10
container_issue 5
container_start_page 720
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