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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Language: | English |
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Cambridge University Press
2020
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Online Access: | https://hdl.handle.net/10037/17348 https://doi.org/10.1017/aog.2019.52 |
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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 |
_version_ |
1766002313803071488 |