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...

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Published in:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors: Li, Xinqing, Ouyang, Lunxi, Hui, Fengming, Cheng, Xiao, Shokr, Mohammed, Heil, Petra
Language:unknown
Published: 2019
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1487148
https://www.osti.gov/biblio/1487148
https://doi.org/10.1109/JSTARS.2018.2882602
id ftosti:oai:osti.gov:1487148
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spelling ftosti:oai:osti.gov:1487148 2023-07-30T03:55:57+02:00 An Improved Automated Method to Detect Landfast Ice Edge off Zhongshan Station Using SAR Imagery Li, Xinqing Ouyang, Lunxi Hui, Fengming Cheng, Xiao Shokr, Mohammed Heil, Petra 2019-12-06 application/pdf http://www.osti.gov/servlets/purl/1487148 https://www.osti.gov/biblio/1487148 https://doi.org/10.1109/JSTARS.2018.2882602 unknown http://www.osti.gov/servlets/purl/1487148 https://www.osti.gov/biblio/1487148 https://doi.org/10.1109/JSTARS.2018.2882602 doi:10.1109/JSTARS.2018.2882602 47 OTHER INSTRUMENTATION 2019 ftosti https://doi.org/10.1109/JSTARS.2018.2882602 2023-07-11T09:30:32Z 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 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. Lastly, our results confirm the potential of the method for operational application, and we expect it to promote the study of Antarctic landfast ice. Other/Unknown Material Amery Ice Shelf Antarc* Antarctic Ice Shelf Sea ice SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) 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
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 47 OTHER INSTRUMENTATION
spellingShingle 47 OTHER INSTRUMENTATION
Li, Xinqing
Ouyang, Lunxi
Hui, Fengming
Cheng, Xiao
Shokr, Mohammed
Heil, Petra
An Improved Automated Method to Detect Landfast Ice Edge off Zhongshan Station Using SAR Imagery
topic_facet 47 OTHER INSTRUMENTATION
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 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. Lastly, our results confirm the potential of the method for operational application, and we expect it to promote the study of Antarctic landfast ice.
author Li, Xinqing
Ouyang, Lunxi
Hui, Fengming
Cheng, Xiao
Shokr, Mohammed
Heil, Petra
author_facet Li, Xinqing
Ouyang, Lunxi
Hui, Fengming
Cheng, Xiao
Shokr, Mohammed
Heil, Petra
author_sort Li, Xinqing
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
publishDate 2019
url http://www.osti.gov/servlets/purl/1487148
https://www.osti.gov/biblio/1487148
https://doi.org/10.1109/JSTARS.2018.2882602
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://www.osti.gov/servlets/purl/1487148
https://www.osti.gov/biblio/1487148
https://doi.org/10.1109/JSTARS.2018.2882602
doi:10.1109/JSTARS.2018.2882602
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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