Pan-Arctic lead detection from MODIS thermal infrared imagery
Polynyas and leads are key elements of the wintertime Arctic sea-ice cover. They play a crucial role in surface heat loss, potential ice formation and consequently in the seasonal sea-ice budget. While polynyas are generally sufficiently large to be observed with passive microwave satellite sensors,...
Published in: | Annals of Glaciology |
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International Glaciological Society
2015
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Online Access: | https://oceanrep.geomar.de/id/eprint/28031/ https://oceanrep.geomar.de/id/eprint/28031/1/2015_Willmes-Heinemann-Pan-Arctic_AnnGlac59_a69A615.pdf https://doi.org/10.3189/2015AoG69A615 |
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ftoceanrep:oai:oceanrep.geomar.de:28031 2023-05-15T13:29:40+02:00 Pan-Arctic lead detection from MODIS thermal infrared imagery Willmes, Sascha Heinemann, Günther 2015 text https://oceanrep.geomar.de/id/eprint/28031/ https://oceanrep.geomar.de/id/eprint/28031/1/2015_Willmes-Heinemann-Pan-Arctic_AnnGlac59_a69A615.pdf https://doi.org/10.3189/2015AoG69A615 en eng International Glaciological Society https://oceanrep.geomar.de/id/eprint/28031/1/2015_Willmes-Heinemann-Pan-Arctic_AnnGlac59_a69A615.pdf Willmes, S. and Heinemann, G. (2015) Pan-Arctic lead detection from MODIS thermal infrared imagery. Annals of Glaciology, 56 (69). pp. 29-37. DOI 10.3189/2015AoG69A615 <https://doi.org/10.3189/2015AoG69A615>. doi:10.3189/2015AoG69A615 cc_by_nc Article PeerReviewed 2015 ftoceanrep https://doi.org/10.3189/2015AoG69A615 2023-04-07T15:18:21Z Polynyas and leads are key elements of the wintertime Arctic sea-ice cover. They play a crucial role in surface heat loss, potential ice formation and consequently in the seasonal sea-ice budget. While polynyas are generally sufficiently large to be observed with passive microwave satellite sensors, the monitoring of narrow leads requires the use of data at a higher spatial resolution. We apply and evaluate different lead segmentation techniques based on sea-ice surface temperatures as measured by the Moderate Resolution Imaging Spectroradiometer (MODIS). Daily lead composite maps indicate the presence of cloud artifacts that arise from ambiguities in the segmentation process and shortcomings in the MODIS cloud mask. A fuzzy cloud artifact filter is hence implemented to mitigate these effects and the associated potential misclassification of leads. The filter is adjusted with reference data from thermal infrared image sequences, and applied to daily MODIS data from January to April 2008. The daily lead product can be used to deduct the structure and dynamics of wintertime sea-ice leads and to assess seasonal divergence patterns of the Arctic Ocean. Article in Journal/Newspaper Annals of Glaciology Arctic Arctic Arctic Ocean Sea ice OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Arctic Arctic Ocean Annals of Glaciology 56 69 29 37 |
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OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) |
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ftoceanrep |
language |
English |
description |
Polynyas and leads are key elements of the wintertime Arctic sea-ice cover. They play a crucial role in surface heat loss, potential ice formation and consequently in the seasonal sea-ice budget. While polynyas are generally sufficiently large to be observed with passive microwave satellite sensors, the monitoring of narrow leads requires the use of data at a higher spatial resolution. We apply and evaluate different lead segmentation techniques based on sea-ice surface temperatures as measured by the Moderate Resolution Imaging Spectroradiometer (MODIS). Daily lead composite maps indicate the presence of cloud artifacts that arise from ambiguities in the segmentation process and shortcomings in the MODIS cloud mask. A fuzzy cloud artifact filter is hence implemented to mitigate these effects and the associated potential misclassification of leads. The filter is adjusted with reference data from thermal infrared image sequences, and applied to daily MODIS data from January to April 2008. The daily lead product can be used to deduct the structure and dynamics of wintertime sea-ice leads and to assess seasonal divergence patterns of the Arctic Ocean. |
format |
Article in Journal/Newspaper |
author |
Willmes, Sascha Heinemann, Günther |
spellingShingle |
Willmes, Sascha Heinemann, Günther Pan-Arctic lead detection from MODIS thermal infrared imagery |
author_facet |
Willmes, Sascha Heinemann, Günther |
author_sort |
Willmes, Sascha |
title |
Pan-Arctic lead detection from MODIS thermal infrared imagery |
title_short |
Pan-Arctic lead detection from MODIS thermal infrared imagery |
title_full |
Pan-Arctic lead detection from MODIS thermal infrared imagery |
title_fullStr |
Pan-Arctic lead detection from MODIS thermal infrared imagery |
title_full_unstemmed |
Pan-Arctic lead detection from MODIS thermal infrared imagery |
title_sort |
pan-arctic lead detection from modis thermal infrared imagery |
publisher |
International Glaciological Society |
publishDate |
2015 |
url |
https://oceanrep.geomar.de/id/eprint/28031/ https://oceanrep.geomar.de/id/eprint/28031/1/2015_Willmes-Heinemann-Pan-Arctic_AnnGlac59_a69A615.pdf https://doi.org/10.3189/2015AoG69A615 |
geographic |
Arctic Arctic Ocean |
geographic_facet |
Arctic Arctic Ocean |
genre |
Annals of Glaciology Arctic Arctic Arctic Ocean Sea ice |
genre_facet |
Annals of Glaciology Arctic Arctic Arctic Ocean Sea ice |
op_relation |
https://oceanrep.geomar.de/id/eprint/28031/1/2015_Willmes-Heinemann-Pan-Arctic_AnnGlac59_a69A615.pdf Willmes, S. and Heinemann, G. (2015) Pan-Arctic lead detection from MODIS thermal infrared imagery. Annals of Glaciology, 56 (69). pp. 29-37. DOI 10.3189/2015AoG69A615 <https://doi.org/10.3189/2015AoG69A615>. doi:10.3189/2015AoG69A615 |
op_rights |
cc_by_nc |
op_doi |
https://doi.org/10.3189/2015AoG69A615 |
container_title |
Annals of Glaciology |
container_volume |
56 |
container_issue |
69 |
container_start_page |
29 |
op_container_end_page |
37 |
_version_ |
1766001866767859712 |