Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B
Synthetic Aperture Radar (SAR) satellite images are used to monitor Arctic sea ice, with systematic data records dating back to 1991. We propose a semi-supervised classification method that separates open water from sea ice and can utilise ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1 SAR images....
Published in: | Annals of Glaciology |
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Cambridge University Press
2020
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Online Access: | https://doi.org/10.1017/aog.2019.52 https://doaj.org/article/ab87d7bb84fc4002984a2e8fa6127b68 |
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ftdoajarticles:oai:doaj.org/article:ab87d7bb84fc4002984a2e8fa6127b68 2023-05-15T13:29:30+02:00 Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B A. Malin Johansson Eirik Malnes Sebastian Gerland Anca Cristea Anthony P. Doulgeris Dmitry V. Divine Olga Pavlova Tom Rune Lauknes 2020-09-01T00:00:00Z https://doi.org/10.1017/aog.2019.52 https://doaj.org/article/ab87d7bb84fc4002984a2e8fa6127b68 EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0260305519000521/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2019.52 0260-3055 1727-5644 https://doaj.org/article/ab87d7bb84fc4002984a2e8fa6127b68 Annals of Glaciology, Vol 61, Pp 40-50 (2020) Sea ice remote sensing sea-ice growth and decay Meteorology. Climatology QC851-999 article 2020 ftdoajarticles https://doi.org/10.1017/aog.2019.52 2023-03-12T01:31:55Z Synthetic Aperture Radar (SAR) satellite images are used to monitor Arctic sea ice, with systematic data records dating back to 1991. We propose a semi-supervised classification method that separates open water from sea ice and can utilise ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1 SAR images. The classification combines automatic segmentation with a manual segment selection stage. The segmentation algorithm requires only the backscatter intensities and incidence angle values as input, therefore can be used to establish a consistent decadal sea ice record. In this study we investigate the sea ice conditions in two Svalbard fjords, Kongsfjorden and Rijpfjorden. Both fjords have a seasonal ice cover, though Rijpfjorden has a longer sea ice season. The satellite image dataset has weekly to daily records from 2002 until now, and less frequent records between 1991 and 2002. Time overlap between different sensors is investigated to ensure consistency in the reported sea ice cover. The classification results have been compared to high-resolution SAR data as well as in-situ measurements and sea ice maps from Ny-Ålesund. For both fjords the length of the sea ice season has shortened since 2002 and for Kongsfjorden the maximum sea ice coverage is significantly lower after 2006. Article in Journal/Newspaper Annals of Glaciology Arctic Kongsfjord* Kongsfjorden Ny Ålesund Ny-Ålesund Rijpfjord* Sea ice Svalbard Directory of Open Access Journals: DOAJ Articles Arctic Svalbard Ny-Ålesund Asar ENVELOPE(134.033,134.033,68.667,68.667) Rijpfjorden ENVELOPE(22.188,22.188,80.165,80.165) Annals of Glaciology 61 82 40 50 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Sea ice remote sensing sea-ice growth and decay Meteorology. Climatology QC851-999 |
spellingShingle |
Sea ice remote sensing sea-ice growth and decay Meteorology. Climatology QC851-999 A. Malin Johansson Eirik Malnes Sebastian Gerland Anca Cristea Anthony P. Doulgeris Dmitry V. Divine Olga Pavlova Tom Rune Lauknes Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B |
topic_facet |
Sea ice remote sensing sea-ice growth and decay Meteorology. Climatology QC851-999 |
description |
Synthetic Aperture Radar (SAR) satellite images are used to monitor Arctic sea ice, with systematic data records dating back to 1991. We propose a semi-supervised classification method that separates open water from sea ice and can utilise ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1 SAR images. The classification combines automatic segmentation with a manual segment selection stage. The segmentation algorithm requires only the backscatter intensities and incidence angle values as input, therefore can be used to establish a consistent decadal sea ice record. In this study we investigate the sea ice conditions in two Svalbard fjords, Kongsfjorden and Rijpfjorden. Both fjords have a seasonal ice cover, though Rijpfjorden has a longer sea ice season. The satellite image dataset has weekly to daily records from 2002 until now, and less frequent records between 1991 and 2002. Time overlap between different sensors is investigated to ensure consistency in the reported sea ice cover. The classification results have been compared to high-resolution SAR data as well as in-situ measurements and sea ice maps from Ny-Ålesund. For both fjords the length of the sea ice season has shortened since 2002 and for Kongsfjorden the maximum sea ice coverage is significantly lower after 2006. |
format |
Article in Journal/Newspaper |
author |
A. Malin Johansson Eirik Malnes Sebastian Gerland Anca Cristea Anthony P. Doulgeris Dmitry V. Divine Olga Pavlova Tom Rune Lauknes |
author_facet |
A. Malin Johansson Eirik Malnes Sebastian Gerland Anca Cristea Anthony P. Doulgeris Dmitry V. Divine Olga Pavlova Tom Rune Lauknes |
author_sort |
A. Malin Johansson |
title |
Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B |
title_short |
Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B |
title_full |
Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B |
title_fullStr |
Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B |
title_full_unstemmed |
Consistent ice and open water classification combining historical synthetic aperture radar satellite images from ERS-1/2, Envisat ASAR, RADARSAT-2 and Sentinel-1A/B |
title_sort |
consistent ice and open water classification combining historical synthetic aperture radar satellite images from ers-1/2, envisat asar, radarsat-2 and sentinel-1a/b |
publisher |
Cambridge University Press |
publishDate |
2020 |
url |
https://doi.org/10.1017/aog.2019.52 https://doaj.org/article/ab87d7bb84fc4002984a2e8fa6127b68 |
long_lat |
ENVELOPE(134.033,134.033,68.667,68.667) ENVELOPE(22.188,22.188,80.165,80.165) |
geographic |
Arctic Svalbard Ny-Ålesund Asar Rijpfjorden |
geographic_facet |
Arctic Svalbard Ny-Ålesund Asar Rijpfjorden |
genre |
Annals of Glaciology Arctic Kongsfjord* Kongsfjorden Ny Ålesund Ny-Ålesund Rijpfjord* Sea ice Svalbard |
genre_facet |
Annals of Glaciology Arctic Kongsfjord* Kongsfjorden Ny Ålesund Ny-Ålesund Rijpfjord* Sea ice Svalbard |
op_source |
Annals of Glaciology, Vol 61, Pp 40-50 (2020) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0260305519000521/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2019.52 0260-3055 1727-5644 https://doaj.org/article/ab87d7bb84fc4002984a2e8fa6127b68 |
op_doi |
https://doi.org/10.1017/aog.2019.52 |
container_title |
Annals of Glaciology |
container_volume |
61 |
container_issue |
82 |
container_start_page |
40 |
op_container_end_page |
50 |
_version_ |
1766000958827921408 |