An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator
The authors thank the two anonymous referees and the editor Melody Sandells for their useful comments, which greatly improved the manuscript. Work on software QGIS and the HDF-EOS to GeoTIFF Conversion Tool (HEG) is acknowledged. Special thanks go to Jaume Fons-Esteve at the Department of Geography,...
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Format: | Article in Journal/Newspaper |
Language: | English |
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Copernicus GmbH
2021
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Online Access: | http://hdl.handle.net/10481/69827 https://doi.org/10.5194/tc-15-2803-2021 |
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ftunivgranada:oai:digibug.ugr.es:10481/69827 2023-05-15T15:17:52+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 2021-06-18 http://hdl.handle.net/10481/69827 https://doi.org/10.5194/tc-15-2803-2021 eng eng Copernicus GmbH Parera-Portell, J. A., Ubach, R., and Gignac, C.: An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator, The Cryosphere, 15, 2803–2818, [https://doi.org/10.5194/tc-15-2803-2021], 2021 http://hdl.handle.net/10481/69827 doi:10.5194/tc-15-2803-2021 Atribución 3.0 España http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess CC-BY info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2021 ftunivgranada https://doi.org/10.5194/tc-15-2803-2021 https://doi.org/10.5194/tc-15-2803-2021] 2021-07-27T23:21:24Z The authors thank the two anonymous referees and the editor Melody Sandells for their useful comments, which greatly improved the manuscript. Work on software QGIS and the HDF-EOS to GeoTIFF Conversion Tool (HEG) is acknowledged. Special thanks go to Jaume Fons-Esteve at the Department of Geography, Universitat Autònoma de Barcelona. 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 500m 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 x 10(3) km(2) yr(-1)) and September (-16.47 +/- 5.66 x 10(3) km(2) yr(-1)). Such trends indicate that the sea ice cover is shrinking at a rate of similar to 9% and similar to 13% per decade, respectively, even though the sea ice extent loss is comparatively similar to 70% greater in March. Article in Journal/Newspaper Arctic Global warming Sea ice The Cryosphere DIGIBUG: Repositorio Institucional de la Universidad de Granada Arctic Jaume ENVELOPE(-63.750,-63.750,-65.483,-65.483) Heg ENVELOPE(166.750,166.750,-72.950,-72.950) The Cryosphere 15 6 2803 2818 |
institution |
Open Polar |
collection |
DIGIBUG: Repositorio Institucional de la Universidad de Granada |
op_collection_id |
ftunivgranada |
language |
English |
description |
The authors thank the two anonymous referees and the editor Melody Sandells for their useful comments, which greatly improved the manuscript. Work on software QGIS and the HDF-EOS to GeoTIFF Conversion Tool (HEG) is acknowledged. Special thanks go to Jaume Fons-Esteve at the Department of Geography, Universitat Autònoma de Barcelona. 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 500m 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 x 10(3) km(2) yr(-1)) and September (-16.47 +/- 5.66 x 10(3) km(2) yr(-1)). Such trends indicate that the sea ice cover is shrinking at a rate of similar to 9% and similar to 13% per decade, respectively, even though the sea ice extent loss is comparatively similar to 70% greater in March. |
format |
Article in Journal/Newspaper |
author |
Parera Portell, Joan Antoni Ubach, Raquel Gignac, Charles |
spellingShingle |
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 |
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 |
publisher |
Copernicus GmbH |
publishDate |
2021 |
url |
http://hdl.handle.net/10481/69827 https://doi.org/10.5194/tc-15-2803-2021 |
long_lat |
ENVELOPE(-63.750,-63.750,-65.483,-65.483) ENVELOPE(166.750,166.750,-72.950,-72.950) |
geographic |
Arctic Jaume Heg |
geographic_facet |
Arctic Jaume Heg |
genre |
Arctic Global warming Sea ice The Cryosphere |
genre_facet |
Arctic Global warming Sea ice The Cryosphere |
op_relation |
Parera-Portell, J. A., Ubach, R., and Gignac, C.: An improved sea ice detection algorithm using MODIS: application as a new European sea ice extent indicator, The Cryosphere, 15, 2803–2818, [https://doi.org/10.5194/tc-15-2803-2021], 2021 http://hdl.handle.net/10481/69827 doi:10.5194/tc-15-2803-2021 |
op_rights |
Atribución 3.0 España http://creativecommons.org/licenses/by/3.0/es/ info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/tc-15-2803-2021 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 |
_version_ |
1766348118065938432 |