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...

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Published in:Annals of Glaciology
Main Authors: Johansson, A. Malin, Malnes, Eirik, Gerland, Sebastian, Cristea, Anca, Doulgeris, Anthony P., Divine, Dmitry V., Pavlova, Olga, Lauknes, Tom Rune
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 2020
Subjects:
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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spelling 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
institution Open Polar
collection Cambridge University Press
op_collection_id 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
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