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....

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Published in:Annals of Glaciology
Main Authors: A. Malin Johansson, Eirik Malnes, Sebastian Gerland, Anca Cristea, Anthony P. Doulgeris, Dmitry V. Divine, Olga Pavlova, Tom Rune Lauknes
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press 2020
Subjects:
Online Access:https://doi.org/10.1017/aog.2019.52
https://doaj.org/article/ab87d7bb84fc4002984a2e8fa6127b68
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spelling 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
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