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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Format: | Article in Journal/Newspaper |
Language: | English |
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Online Access: | https://hdl.handle.net/10037/27135 https://doi.org/10.1109/JSTARS.2022.3214069 |
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ftunivtroemsoe:oai:munin.uit.no:10037/27135 2023-05-15T14:27:08+02:00 Automatic Detection of Low-Backscatter Targets in the Arctic Using Wide Swath Sentinel-1 Imagery Cristea, Anca Johansson, Malin Doulgeris, Anthony Paul Brekke, Camilla 2022-10-12 https://hdl.handle.net/10037/27135 https://doi.org/10.1109/JSTARS.2022.3214069 eng eng IEEE IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing A. Cristea, A. M. Johansson, A. P. Doulgeris and C. Brekke, "Automatic Detection of Low-Backscatter Targets in the Arctic Using Wide Swath Sentinel-1 Imagery," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 8870-8883, 2022 FRIDAID 2064849 doi:10.1109/JSTARS.2022.3214069 1939-1404 2151-1535 https://hdl.handle.net/10037/27135 Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2022 The Author(s) https://creativecommons.org/licenses/by/4.0 CC-BY Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2022 ftunivtroemsoe https://doi.org/10.1109/JSTARS.2022.3214069 2022-10-26T23:01:05Z 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 Arctic Barents Sea Sea ice University of Tromsø: Munin Open Research Archive Arctic Barents Sea IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15 8870 8883 |
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Open Polar |
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University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
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 |
Cristea, Anca Johansson, Malin Doulgeris, Anthony Paul Brekke, Camilla |
spellingShingle |
Cristea, Anca Johansson, Malin Doulgeris, Anthony Paul Brekke, Camilla Automatic Detection of Low-Backscatter Targets in the Arctic Using Wide Swath Sentinel-1 Imagery |
author_facet |
Cristea, Anca Johansson, Malin Doulgeris, Anthony Paul Brekke, Camilla |
author_sort |
Cristea, Anca |
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://hdl.handle.net/10037/27135 https://doi.org/10.1109/JSTARS.2022.3214069 |
geographic |
Arctic Barents Sea |
geographic_facet |
Arctic Barents Sea |
genre |
Arctic Arctic Barents Sea Sea ice |
genre_facet |
Arctic Arctic Barents Sea Sea ice |
op_relation |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing A. Cristea, A. M. Johansson, A. P. Doulgeris and C. Brekke, "Automatic Detection of Low-Backscatter Targets in the Arctic Using Wide Swath Sentinel-1 Imagery," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 15, pp. 8870-8883, 2022 FRIDAID 2064849 doi:10.1109/JSTARS.2022.3214069 1939-1404 2151-1535 https://hdl.handle.net/10037/27135 |
op_rights |
Attribution 4.0 International (CC BY 4.0) openAccess Copyright 2022 The Author(s) https://creativecommons.org/licenses/by/4.0 |
op_rightsnorm |
CC-BY |
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_ |
1766300731757821952 |