An improved automated method to detect landfast ice edge off Zhongshan Station using SAR imagery
Landfast ice is an important component of the Antarctic sea ice. Its edge generally advances offshore to its annual maximum extent by mid-winter before retreating later in spring. This study presents an automated method to detect the seaward landfast ice edge (SLIE) at its maximum extent in the begi...
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.2018.2882602 http://ecite.utas.edu.au/131912 |
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ftunivtasecite:oai:ecite.utas.edu.au:131912 2023-05-15T13:22:09+02:00 An improved automated method to detect landfast ice edge off Zhongshan Station using SAR imagery Li, X Ouyang, L Hui, F Cheng, X Shokr, M Heil, P 2018 https://doi.org/10.1109/JSTARS.2018.2882602 http://ecite.utas.edu.au/131912 en eng Institute of Electrical and Electronics Engineers http://dx.doi.org/10.1109/JSTARS.2018.2882602 Li, X and Ouyang, L and Hui, F and Cheng, X and Shokr, M and Heil, P, An improved automated method to detect landfast ice edge off Zhongshan Station using SAR imagery, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, (12) pp. 4737-4746. ISSN 1939-1404 (2018) [Refereed Article] http://ecite.utas.edu.au/131912 Earth Sciences Physical Geography and Environmental Geoscience Hydrogeology Refereed Article PeerReviewed 2018 ftunivtasecite https://doi.org/10.1109/JSTARS.2018.2882602 2019-12-13T22:29:47Z Landfast ice is an important component of the Antarctic sea ice. Its edge generally advances offshore to its annual maximum extent by mid-winter before retreating later in spring. This study presents an automated method to detect the seaward landfast ice edge (SLIE) at its maximum extent in the beginning in the austral spring (October) for a region northeast of the Amery Ice Shelf, East Antarctic. Here, the net gradient difference algorithm developed by Mahoney [1] has been extended to include the medium edge detection method to automatically delineate the SLIE using the sequential SAR data. The underlying method is to use a spatial gradient operation to identify potential edge pixels, before applying the noise removal using a baseline (2000-2008) SLIE, and a pixel connection technique to generate a contiguous edge. We show that in 2016, the SLIE extended 20 km (25%) further equatorward than in 2008. Good agreement has been achieved between the SLIE derived from our automated method and the manual SLIE extraction using the original SAR as well as a near-coincident Landsat-8 OLI image. The error in the automated approach is minimized when using three to four calibrated SAR images, all with the same incident angle and the maximum separation between them is less than 20 days. Our results confirm the potential of the method for operational application, and we expect it to promote the study of Antarctic landfast ice. Article in Journal/Newspaper Amery Ice Shelf Antarc* Antarctic Ice Shelf Sea ice eCite UTAS (University of Tasmania) Antarctic The Antarctic Austral Amery ENVELOPE(-94.063,-94.063,56.565,56.565) Amery Ice Shelf ENVELOPE(71.000,71.000,-69.750,-69.750) Zhongshan ENVELOPE(76.371,76.371,-69.373,-69.373) Zhongshan Station ENVELOPE(76.371,76.371,-69.373,-69.373) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 11 12 4737 4746 |
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Open Polar |
collection |
eCite UTAS (University of Tasmania) |
op_collection_id |
ftunivtasecite |
language |
English |
topic |
Earth Sciences Physical Geography and Environmental Geoscience Hydrogeology |
spellingShingle |
Earth Sciences Physical Geography and Environmental Geoscience Hydrogeology Li, X Ouyang, L Hui, F Cheng, X Shokr, M Heil, P An improved automated method to detect landfast ice edge off Zhongshan Station using SAR imagery |
topic_facet |
Earth Sciences Physical Geography and Environmental Geoscience Hydrogeology |
description |
Landfast ice is an important component of the Antarctic sea ice. Its edge generally advances offshore to its annual maximum extent by mid-winter before retreating later in spring. This study presents an automated method to detect the seaward landfast ice edge (SLIE) at its maximum extent in the beginning in the austral spring (October) for a region northeast of the Amery Ice Shelf, East Antarctic. Here, the net gradient difference algorithm developed by Mahoney [1] has been extended to include the medium edge detection method to automatically delineate the SLIE using the sequential SAR data. The underlying method is to use a spatial gradient operation to identify potential edge pixels, before applying the noise removal using a baseline (2000-2008) SLIE, and a pixel connection technique to generate a contiguous edge. We show that in 2016, the SLIE extended 20 km (25%) further equatorward than in 2008. Good agreement has been achieved between the SLIE derived from our automated method and the manual SLIE extraction using the original SAR as well as a near-coincident Landsat-8 OLI image. The error in the automated approach is minimized when using three to four calibrated SAR images, all with the same incident angle and the maximum separation between them is less than 20 days. Our results confirm the potential of the method for operational application, and we expect it to promote the study of Antarctic landfast ice. |
format |
Article in Journal/Newspaper |
author |
Li, X Ouyang, L Hui, F Cheng, X Shokr, M Heil, P |
author_facet |
Li, X Ouyang, L Hui, F Cheng, X Shokr, M Heil, P |
author_sort |
Li, X |
title |
An improved automated method to detect landfast ice edge off Zhongshan Station using SAR imagery |
title_short |
An improved automated method to detect landfast ice edge off Zhongshan Station using SAR imagery |
title_full |
An improved automated method to detect landfast ice edge off Zhongshan Station using SAR imagery |
title_fullStr |
An improved automated method to detect landfast ice edge off Zhongshan Station using SAR imagery |
title_full_unstemmed |
An improved automated method to detect landfast ice edge off Zhongshan Station using SAR imagery |
title_sort |
improved automated method to detect landfast ice edge off zhongshan station using sar imagery |
publisher |
Institute of Electrical and Electronics Engineers |
publishDate |
2018 |
url |
https://doi.org/10.1109/JSTARS.2018.2882602 http://ecite.utas.edu.au/131912 |
long_lat |
ENVELOPE(-94.063,-94.063,56.565,56.565) ENVELOPE(71.000,71.000,-69.750,-69.750) ENVELOPE(76.371,76.371,-69.373,-69.373) ENVELOPE(76.371,76.371,-69.373,-69.373) |
geographic |
Antarctic The Antarctic Austral Amery Amery Ice Shelf Zhongshan Zhongshan Station |
geographic_facet |
Antarctic The Antarctic Austral Amery Amery Ice Shelf Zhongshan Zhongshan Station |
genre |
Amery Ice Shelf Antarc* Antarctic Ice Shelf Sea ice |
genre_facet |
Amery Ice Shelf Antarc* Antarctic Ice Shelf Sea ice |
op_relation |
http://dx.doi.org/10.1109/JSTARS.2018.2882602 Li, X and Ouyang, L and Hui, F and Cheng, X and Shokr, M and Heil, P, An improved automated method to detect landfast ice edge off Zhongshan Station using SAR imagery, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, (12) pp. 4737-4746. ISSN 1939-1404 (2018) [Refereed Article] http://ecite.utas.edu.au/131912 |
op_doi |
https://doi.org/10.1109/JSTARS.2018.2882602 |
container_title |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
container_volume |
11 |
container_issue |
12 |
container_start_page |
4737 |
op_container_end_page |
4746 |
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1766363523851485184 |