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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Published in:The Cryosphere
Main Authors: Parera Portell, Joan Antoni, Ubach, Raquel, Gignac, Charles
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus GmbH 2021
Subjects:
Heg
Online Access:http://hdl.handle.net/10481/69827
https://doi.org/10.5194/tc-15-2803-2021
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spelling 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
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