An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator.
The continued loss of sea ice in the Northern Hemisphere due to global warming poses a threat to biota and human activities, evidencing the necessity of efficient sea ice monitoring tools. Aiming at the creation of an improved sea ice extent indicator covering the European regional seas, the new Ice...
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ftinrsquebec:oai:espace.inrs.ca:11841 2023-05-15T15:13:40+02:00 An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator. Parera-Portell, Joan Antoni Ubach, Raquel Gignac, Charles 2021 application/pdf https://espace.inrs.ca/id/eprint/11841/ https://espace.inrs.ca/id/eprint/11841/1/P3855.pdf https://doi.org/10.5194/tc-15-2803-2021 en eng https://espace.inrs.ca/id/eprint/11841/1/P3855.pdf Parera-Portell, Joan Antoni, Ubach, Raquel et Gignac, Charles (2021). An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator. The Cryosphere , vol. 15 , nº 6. p. 2803-2818. DOI:10.5194/tc-15-2803-2021 <https://doi.org/10.5194/tc-15-2803-2021>. doi:10.5194/tc-15-2803-2021 glace de mer télédétection Article Évalué par les pairs 2021 ftinrsquebec https://doi.org/10.5194/tc-15-2803-2021 2023-02-10T11:46:54Z The continued loss of sea ice in the Northern Hemisphere due to global warming poses a threat to biota and human activities, evidencing the necessity of efficient sea ice monitoring tools. Aiming at the creation of an improved sea ice extent indicator covering the European regional seas, the new IceMap500 algorithm has been developed to classify sea ice and water at a resolution of 500 m at nadir. IceMap500 features a classification strategy built upon previous MODIS sea ice extent algorithms and a new method to reclassify areas affected by resolution-breaking features inherited from the MODIS cloud mask. This approach results in an enlargement of mapped area, a reduction of potential error sources and a better delineation of the sea ice edge, while still systematically achieving accuracies above 90 %, as obtained by manual validation. Swath maps have been aggregated at a monthly scale to obtain sea ice extent with a method that is sensitive to spatio-temporal variations in the sea ice cover and that can be used as an additional error filter. The resulting dataset, covering the months of maximum and minimum sea ice extent (i.e. March and September) over 2 decades (from 2000 to 2019), demonstrates the algorithm's applicability as a monitoring tool and as an indicator, illustrating the sea ice decline at a regional scale. The European sea regions located in the Arctic, NE Atlantic and Barents seas display clear negative trends in both March (−27.98 ± 6.01 × 10³ km²yr⁻¹) and September (−16.47 ± 5.66 × 10³ km²yr⁻¹). Such trends indicate that the sea ice cover is shrinking at a rate of ∼ 9 % and ∼ 13 % per decade, respectively, even though the sea ice extent loss is comparatively ∼ 70 % greater in March. Article in Journal/Newspaper Arctic Global warming Sea ice The Cryosphere Institut national de la recherche scientifique, Québec: Espace INRS Arctic The Cryosphere 15 6 2803 2818 |
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Open Polar |
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Institut national de la recherche scientifique, Québec: Espace INRS |
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ftinrsquebec |
language |
English |
topic |
glace de mer télédétection |
spellingShingle |
glace de mer télédétection Parera-Portell, Joan Antoni Ubach, Raquel Gignac, Charles An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator. |
topic_facet |
glace de mer télédétection |
description |
The continued loss of sea ice in the Northern Hemisphere due to global warming poses a threat to biota and human activities, evidencing the necessity of efficient sea ice monitoring tools. Aiming at the creation of an improved sea ice extent indicator covering the European regional seas, the new IceMap500 algorithm has been developed to classify sea ice and water at a resolution of 500 m at nadir. IceMap500 features a classification strategy built upon previous MODIS sea ice extent algorithms and a new method to reclassify areas affected by resolution-breaking features inherited from the MODIS cloud mask. This approach results in an enlargement of mapped area, a reduction of potential error sources and a better delineation of the sea ice edge, while still systematically achieving accuracies above 90 %, as obtained by manual validation. Swath maps have been aggregated at a monthly scale to obtain sea ice extent with a method that is sensitive to spatio-temporal variations in the sea ice cover and that can be used as an additional error filter. The resulting dataset, covering the months of maximum and minimum sea ice extent (i.e. March and September) over 2 decades (from 2000 to 2019), demonstrates the algorithm's applicability as a monitoring tool and as an indicator, illustrating the sea ice decline at a regional scale. The European sea regions located in the Arctic, NE Atlantic and Barents seas display clear negative trends in both March (−27.98 ± 6.01 × 10³ km²yr⁻¹) and September (−16.47 ± 5.66 × 10³ km²yr⁻¹). Such trends indicate that the sea ice cover is shrinking at a rate of ∼ 9 % and ∼ 13 % per decade, respectively, even though the sea ice extent loss is comparatively ∼ 70 % greater in March. |
format |
Article in Journal/Newspaper |
author |
Parera-Portell, Joan Antoni Ubach, Raquel Gignac, Charles |
author_facet |
Parera-Portell, Joan Antoni Ubach, Raquel Gignac, Charles |
author_sort |
Parera-Portell, Joan Antoni |
title |
An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator. |
title_short |
An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator. |
title_full |
An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator. |
title_fullStr |
An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator. |
title_full_unstemmed |
An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator. |
title_sort |
improved sea ice detection algorithm using modis: application as a new european sea ice extent indicator. |
publishDate |
2021 |
url |
https://espace.inrs.ca/id/eprint/11841/ https://espace.inrs.ca/id/eprint/11841/1/P3855.pdf https://doi.org/10.5194/tc-15-2803-2021 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Global warming Sea ice The Cryosphere |
genre_facet |
Arctic Global warming Sea ice The Cryosphere |
op_relation |
https://espace.inrs.ca/id/eprint/11841/1/P3855.pdf Parera-Portell, Joan Antoni, Ubach, Raquel et Gignac, Charles (2021). An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator. The Cryosphere , vol. 15 , nº 6. p. 2803-2818. DOI:10.5194/tc-15-2803-2021 <https://doi.org/10.5194/tc-15-2803-2021>. doi:10.5194/tc-15-2803-2021 |
op_doi |
https://doi.org/10.5194/tc-15-2803-2021 |
container_title |
The Cryosphere |
container_volume |
15 |
container_issue |
6 |
container_start_page |
2803 |
op_container_end_page |
2818 |
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1766344201733144576 |