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: Johansson, Malin, Malnes, Eirik, Gerland, Sebastian, Cristea, Anca, Doulgeris, Anthony Paul, Divine, Dmitry V, Pavlova, Olga, Lauknes, Tom Rune
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press 2020
Subjects:
Online Access:https://hdl.handle.net/10037/17348
https://doi.org/10.1017/aog.2019.52
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record_format openpolar
spelling ftunivtroemsoe:oai:munin.uit.no:10037/17348 2023-05-15T13:29:43+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 Johansson, Malin Malnes, Eirik Gerland, Sebastian Cristea, Anca Doulgeris, Anthony Paul Divine, Dmitry V Pavlova, Olga Lauknes, Tom Rune 2020-01-17 https://hdl.handle.net/10037/17348 https://doi.org/10.1017/aog.2019.52 eng eng Cambridge University Press Annals of Glaciology info:eu-repo/grantAgreement/RCN/SFI/237906/Norway/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/ info:eu-repo/grantAgreement/RCN/PETROMAKS2/280616/Norway/Oil spill and newly formed sea ice detection, characterization, and mapping in the Barents Sea using remote sensing by SAR/OIBSAR/ Johansson A M, Malnes E, Gerland S, Cristea A, Doulgeris ap, Divine D, Pavlova O, Lauknes TRL. 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. Annals of Glaciology. 2019:1-11 FRIDAID 1790323 doi:10.1017/aog.2019.52 0260-3055 1727-5644 https://hdl.handle.net/10037/17348 openAccess Copyright 2020 The Author(s) VDP::Technology: 500 VDP::Teknologi: 500 VDP::Mathematics and natural science: 400::Geosciences: 450 VDP::Matematikk og Naturvitenskap: 400::Geofag: 450 Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2020 ftunivtroemsoe https://doi.org/10.1017/aog.2019.52 2021-06-25T17:57:13Z 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 Arctic Kongsfjord* Kongsfjorden Ny Ålesund Ny-Ålesund Rijpfjord* Sea ice Svalbard University of Tromsø: Munin Open Research Archive 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 University of Tromsø: Munin Open Research Archive
op_collection_id ftunivtroemsoe
language English
topic VDP::Technology: 500
VDP::Teknologi: 500
VDP::Mathematics and natural science: 400::Geosciences: 450
VDP::Matematikk og Naturvitenskap: 400::Geofag: 450
spellingShingle VDP::Technology: 500
VDP::Teknologi: 500
VDP::Mathematics and natural science: 400::Geosciences: 450
VDP::Matematikk og Naturvitenskap: 400::Geofag: 450
Johansson, Malin
Malnes, Eirik
Gerland, Sebastian
Cristea, Anca
Doulgeris, Anthony Paul
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
topic_facet VDP::Technology: 500
VDP::Teknologi: 500
VDP::Mathematics and natural science: 400::Geosciences: 450
VDP::Matematikk og Naturvitenskap: 400::Geofag: 450
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 Johansson, Malin
Malnes, Eirik
Gerland, Sebastian
Cristea, Anca
Doulgeris, Anthony Paul
Divine, Dmitry V
Pavlova, Olga
Lauknes, Tom Rune
author_facet Johansson, Malin
Malnes, Eirik
Gerland, Sebastian
Cristea, Anca
Doulgeris, Anthony Paul
Divine, Dmitry V
Pavlova, Olga
Lauknes, Tom Rune
author_sort Johansson, 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
publishDate 2020
url https://hdl.handle.net/10037/17348
https://doi.org/10.1017/aog.2019.52
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
Arctic
Kongsfjord*
Kongsfjorden
Ny Ålesund
Ny-Ålesund
Rijpfjord*
Sea ice
Svalbard
genre_facet Annals of Glaciology
Arctic
Arctic
Kongsfjord*
Kongsfjorden
Ny Ålesund
Ny-Ålesund
Rijpfjord*
Sea ice
Svalbard
op_relation Annals of Glaciology
info:eu-repo/grantAgreement/RCN/SFI/237906/Norway/Centre for Integrated Remote Sensing and Forecasting for Arctic Operations/CIRFA/
info:eu-repo/grantAgreement/RCN/PETROMAKS2/280616/Norway/Oil spill and newly formed sea ice detection, characterization, and mapping in the Barents Sea using remote sensing by SAR/OIBSAR/
Johansson A M, Malnes E, Gerland S, Cristea A, Doulgeris ap, Divine D, Pavlova O, Lauknes TRL. 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. Annals of Glaciology. 2019:1-11
FRIDAID 1790323
doi:10.1017/aog.2019.52
0260-3055
1727-5644
https://hdl.handle.net/10037/17348
op_rights openAccess
Copyright 2020 The Author(s)
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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