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
Abstract 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 SA...
Published in: | Annals of Glaciology |
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Language: | English |
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Cambridge University Press (CUP)
2020
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Online Access: | http://dx.doi.org/10.1017/aog.2019.52 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0260305519000521 |
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crcambridgeupr:10.1017/aog.2019.52 2024-10-13T14:01:26+00:00 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 Johansson, A. Malin Malnes, Eirik Gerland, Sebastian Cristea, Anca Doulgeris, Anthony P. Divine, Dmitry V. Pavlova, Olga Lauknes, Tom Rune 2020 http://dx.doi.org/10.1017/aog.2019.52 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0260305519000521 en eng Cambridge University Press (CUP) http://creativecommons.org/licenses/by/4.0/ Annals of Glaciology volume 61, issue 82, page 40-50 ISSN 0260-3055 1727-5644 journal-article 2020 crcambridgeupr https://doi.org/10.1017/aog.2019.52 2024-09-25T04:01:59Z Abstract 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 Cambridge University Press Arctic Asar ENVELOPE(134.033,134.033,68.667,68.667) Ny-Ålesund Rijpfjorden ENVELOPE(22.188,22.188,80.165,80.165) Svalbard Annals of Glaciology 61 82 40 50 |
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Open Polar |
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Cambridge University Press |
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crcambridgeupr |
language |
English |
description |
Abstract 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 |
Johansson, A. Malin Malnes, Eirik Gerland, Sebastian Cristea, Anca Doulgeris, Anthony P. Divine, Dmitry V. Pavlova, Olga Lauknes, Tom Rune |
spellingShingle |
Johansson, A. Malin Malnes, Eirik Gerland, Sebastian Cristea, Anca Doulgeris, Anthony P. Divine, Dmitry V. Pavlova, Olga Lauknes, Tom Rune 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 |
author_facet |
Johansson, A. Malin Malnes, Eirik Gerland, Sebastian Cristea, Anca Doulgeris, Anthony P. Divine, Dmitry V. Pavlova, Olga Lauknes, Tom Rune |
author_sort |
Johansson, A. Malin |
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 (CUP) |
publishDate |
2020 |
url |
http://dx.doi.org/10.1017/aog.2019.52 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0260305519000521 |
long_lat |
ENVELOPE(134.033,134.033,68.667,68.667) ENVELOPE(22.188,22.188,80.165,80.165) |
geographic |
Arctic Asar Ny-Ålesund Rijpfjorden Svalbard |
geographic_facet |
Arctic Asar Ny-Ålesund Rijpfjorden Svalbard |
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 volume 61, issue 82, page 40-50 ISSN 0260-3055 1727-5644 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
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_ |
1812810841150455808 |