Automatic Detection of Low-Backscatter Targets in the Arctic Using Wide Swath Sentinel-1 Imagery
Low backscatter signatures in synthetic aperture radar (SAR) imagery are characteristic to surfaces that are highly smooth and specular reflective of microwave radiation. In the Arctic, these typically represent newly formed sea ice, oil spills, and localized weather phenomena such as low wind or ra...
Published in: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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Online Access: | https://doi.org/10.1109/JSTARS.2022.3214069 https://doaj.org/article/0ac91cb2eec042a2b926c27ed61f0ccc |
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ftdoajarticles:oai:doaj.org/article:0ac91cb2eec042a2b926c27ed61f0ccc 2023-05-15T14:52:31+02:00 Automatic Detection of Low-Backscatter Targets in the Arctic Using Wide Swath Sentinel-1 Imagery Anca Cristea A. Malin Johansson Anthony Paul Doulgeris Camilla Brekke 2022-01-01T00:00:00Z https://doi.org/10.1109/JSTARS.2022.3214069 https://doaj.org/article/0ac91cb2eec042a2b926c27ed61f0ccc EN eng IEEE https://ieeexplore.ieee.org/document/9917290/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2022.3214069 https://doaj.org/article/0ac91cb2eec042a2b926c27ed61f0ccc IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8870-8883 (2022) Arctic Barents sea newly formed sea ice oil spills remote sensing Sentinel-1 Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 article 2022 ftdoajarticles https://doi.org/10.1109/JSTARS.2022.3214069 2022-12-30T21:43:14Z Low backscatter signatures in synthetic aperture radar (SAR) imagery are characteristic to surfaces that are highly smooth and specular reflective of microwave radiation. In the Arctic, these typically represent newly formed sea ice, oil spills, and localized weather phenomena such as low wind or rain cells. The operational monitoring of low backscatter targets can benefit from a stronger integration of freely available SAR imagery from Sentinel-1. We, therefore, propose a detection method applicable to Sentinel-1 extra wide-swath (EW) SAR scenes. Using intensity values coupled with incidence angle and noise-equivalent sigma zero (NESZ) information, the image segmentation method is able to detect the low backscatter targets as one segment across subswaths. We use the Barents Sea as a test site due to the abundant presence of low backscatter targets with different origins, and of long-term operational monitoring services that help cross-validate our observations. Utilizing a large set of scenes acquired in the Barents Sea during the freezing season (November–April), we demonstrate the potential of performing large-scale operational monitoring of local phenomena with low backscatter signatures. Article in Journal/Newspaper Arctic Barents Sea Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Barents Sea IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 8870 8883 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Arctic Barents sea newly formed sea ice oil spills remote sensing Sentinel-1 Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
spellingShingle |
Arctic Barents sea newly formed sea ice oil spills remote sensing Sentinel-1 Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 Anca Cristea A. Malin Johansson Anthony Paul Doulgeris Camilla Brekke Automatic Detection of Low-Backscatter Targets in the Arctic Using Wide Swath Sentinel-1 Imagery |
topic_facet |
Arctic Barents sea newly formed sea ice oil spills remote sensing Sentinel-1 Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809 |
description |
Low backscatter signatures in synthetic aperture radar (SAR) imagery are characteristic to surfaces that are highly smooth and specular reflective of microwave radiation. In the Arctic, these typically represent newly formed sea ice, oil spills, and localized weather phenomena such as low wind or rain cells. The operational monitoring of low backscatter targets can benefit from a stronger integration of freely available SAR imagery from Sentinel-1. We, therefore, propose a detection method applicable to Sentinel-1 extra wide-swath (EW) SAR scenes. Using intensity values coupled with incidence angle and noise-equivalent sigma zero (NESZ) information, the image segmentation method is able to detect the low backscatter targets as one segment across subswaths. We use the Barents Sea as a test site due to the abundant presence of low backscatter targets with different origins, and of long-term operational monitoring services that help cross-validate our observations. Utilizing a large set of scenes acquired in the Barents Sea during the freezing season (November–April), we demonstrate the potential of performing large-scale operational monitoring of local phenomena with low backscatter signatures. |
format |
Article in Journal/Newspaper |
author |
Anca Cristea A. Malin Johansson Anthony Paul Doulgeris Camilla Brekke |
author_facet |
Anca Cristea A. Malin Johansson Anthony Paul Doulgeris Camilla Brekke |
author_sort |
Anca Cristea |
title |
Automatic Detection of Low-Backscatter Targets in the Arctic Using Wide Swath Sentinel-1 Imagery |
title_short |
Automatic Detection of Low-Backscatter Targets in the Arctic Using Wide Swath Sentinel-1 Imagery |
title_full |
Automatic Detection of Low-Backscatter Targets in the Arctic Using Wide Swath Sentinel-1 Imagery |
title_fullStr |
Automatic Detection of Low-Backscatter Targets in the Arctic Using Wide Swath Sentinel-1 Imagery |
title_full_unstemmed |
Automatic Detection of Low-Backscatter Targets in the Arctic Using Wide Swath Sentinel-1 Imagery |
title_sort |
automatic detection of low-backscatter targets in the arctic using wide swath sentinel-1 imagery |
publisher |
IEEE |
publishDate |
2022 |
url |
https://doi.org/10.1109/JSTARS.2022.3214069 https://doaj.org/article/0ac91cb2eec042a2b926c27ed61f0ccc |
geographic |
Arctic Barents Sea |
geographic_facet |
Arctic Barents Sea |
genre |
Arctic Barents Sea Sea ice |
genre_facet |
Arctic Barents Sea Sea ice |
op_source |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8870-8883 (2022) |
op_relation |
https://ieeexplore.ieee.org/document/9917290/ https://doaj.org/toc/2151-1535 2151-1535 doi:10.1109/JSTARS.2022.3214069 https://doaj.org/article/0ac91cb2eec042a2b926c27ed61f0ccc |
op_doi |
https://doi.org/10.1109/JSTARS.2022.3214069 |
container_title |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
container_volume |
15 |
container_start_page |
8870 |
op_container_end_page |
8883 |
_version_ |
1766323756981026816 |