Automatically Extracted Antarctic Coastline Using Remotely-Sensed Data: An Update

The temporal and spatial variability of the Antarctic coastline is a clear indicator of change in extent and mass balance of ice sheets and shelves. In this study, the Canny edge detector was utilized to automatically extract high-resolution information of the Antarctic coastline for 2005, 2010, and...

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Published in:Remote Sensing
Main Authors: Yining Yu, Zhilun Zhang, Mohammed Shokr, Fengming Hui, Xiao Cheng, Zhaohui Chi, Petra Heil, Zhuoqi Chen
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2019
Subjects:
Q
Online Access:https://doi.org/10.3390/rs11161844
https://doaj.org/article/0e50affd1fe443d397c63206313ca5e7
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spelling ftdoajarticles:oai:doaj.org/article:0e50affd1fe443d397c63206313ca5e7 2023-05-15T14:05:08+02:00 Automatically Extracted Antarctic Coastline Using Remotely-Sensed Data: An Update Yining Yu Zhilun Zhang Mohammed Shokr Fengming Hui Xiao Cheng Zhaohui Chi Petra Heil Zhuoqi Chen 2019-08-01T00:00:00Z https://doi.org/10.3390/rs11161844 https://doaj.org/article/0e50affd1fe443d397c63206313ca5e7 EN eng MDPI AG https://www.mdpi.com/2072-4292/11/16/1844 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs11161844 https://doaj.org/article/0e50affd1fe443d397c63206313ca5e7 Remote Sensing, Vol 11, Iss 16, p 1844 (2019) Antarctic coastline coastline extraction remote sensing Canny algorithms ice shelves Science Q article 2019 ftdoajarticles https://doi.org/10.3390/rs11161844 2022-12-31T16:14:50Z The temporal and spatial variability of the Antarctic coastline is a clear indicator of change in extent and mass balance of ice sheets and shelves. In this study, the Canny edge detector was utilized to automatically extract high-resolution information of the Antarctic coastline for 2005, 2010, and 2017, based on optical and microwave satellite data. In order to improve the accuracy of the extracted coastlines, we developed the Canny algorithm by automatically calculating the local low and high thresholds via the intensity histogram of each image to derive thresholds to distinguish ice sheet from water. A visual comparison between extracted coastlines and mosaics from remote sensing images shows good agreement. In addition, comparing manually extracted coastline, based on prior knowledge, the accuracy of planimetric position of automated extraction is better than two pixels of Landsat images (30 m resolution). Our study shows that the percentage of deviation (<100 m) between automatically and manually extracted coastlines in nine areas around the Antarctica is 92.32%, and the mean deviation is 38.15 m. Our results reveal that the length of coastline around Antarctica increased from 35,114 km in 2005 to 35,281 km in 2010, and again to 35,672 km in 2017. Meanwhile, the total area of the Antarctica varied slightly from 1.3618 × 10 7 km 2 (2005) to 1.3537 × 10 7 km 2 (2010) and 1.3657 × 10 7 km 2 (2017). We have found that the decline of the Antarctic area between 2005 and 2010 is related to the breakup of some individual ice shelves, mainly in the Antarctic Peninsula and off East Antarctica. We present a detailed analysis of the temporal and spatial change of coastline and area change for the six ice shelves that exhibited the largest change in the last decade. The largest area change (a loss of 4836 km 2 ) occurred at the Wilkins Ice Shelf between 2005 and 2010. Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula Antarctica East Antarctica Ice Sheet Ice Shelf Ice Shelves Wilkins Ice Shelf Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic Antarctic Peninsula East Antarctica Wilkins ENVELOPE(59.326,59.326,-67.248,-67.248) Wilkins Ice Shelf ENVELOPE(-72.500,-72.500,-70.416,-70.416) Remote Sensing 11 16 1844
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Antarctic coastline
coastline extraction
remote sensing
Canny algorithms
ice shelves
Science
Q
spellingShingle Antarctic coastline
coastline extraction
remote sensing
Canny algorithms
ice shelves
Science
Q
Yining Yu
Zhilun Zhang
Mohammed Shokr
Fengming Hui
Xiao Cheng
Zhaohui Chi
Petra Heil
Zhuoqi Chen
Automatically Extracted Antarctic Coastline Using Remotely-Sensed Data: An Update
topic_facet Antarctic coastline
coastline extraction
remote sensing
Canny algorithms
ice shelves
Science
Q
description The temporal and spatial variability of the Antarctic coastline is a clear indicator of change in extent and mass balance of ice sheets and shelves. In this study, the Canny edge detector was utilized to automatically extract high-resolution information of the Antarctic coastline for 2005, 2010, and 2017, based on optical and microwave satellite data. In order to improve the accuracy of the extracted coastlines, we developed the Canny algorithm by automatically calculating the local low and high thresholds via the intensity histogram of each image to derive thresholds to distinguish ice sheet from water. A visual comparison between extracted coastlines and mosaics from remote sensing images shows good agreement. In addition, comparing manually extracted coastline, based on prior knowledge, the accuracy of planimetric position of automated extraction is better than two pixels of Landsat images (30 m resolution). Our study shows that the percentage of deviation (<100 m) between automatically and manually extracted coastlines in nine areas around the Antarctica is 92.32%, and the mean deviation is 38.15 m. Our results reveal that the length of coastline around Antarctica increased from 35,114 km in 2005 to 35,281 km in 2010, and again to 35,672 km in 2017. Meanwhile, the total area of the Antarctica varied slightly from 1.3618 × 10 7 km 2 (2005) to 1.3537 × 10 7 km 2 (2010) and 1.3657 × 10 7 km 2 (2017). We have found that the decline of the Antarctic area between 2005 and 2010 is related to the breakup of some individual ice shelves, mainly in the Antarctic Peninsula and off East Antarctica. We present a detailed analysis of the temporal and spatial change of coastline and area change for the six ice shelves that exhibited the largest change in the last decade. The largest area change (a loss of 4836 km 2 ) occurred at the Wilkins Ice Shelf between 2005 and 2010.
format Article in Journal/Newspaper
author Yining Yu
Zhilun Zhang
Mohammed Shokr
Fengming Hui
Xiao Cheng
Zhaohui Chi
Petra Heil
Zhuoqi Chen
author_facet Yining Yu
Zhilun Zhang
Mohammed Shokr
Fengming Hui
Xiao Cheng
Zhaohui Chi
Petra Heil
Zhuoqi Chen
author_sort Yining Yu
title Automatically Extracted Antarctic Coastline Using Remotely-Sensed Data: An Update
title_short Automatically Extracted Antarctic Coastline Using Remotely-Sensed Data: An Update
title_full Automatically Extracted Antarctic Coastline Using Remotely-Sensed Data: An Update
title_fullStr Automatically Extracted Antarctic Coastline Using Remotely-Sensed Data: An Update
title_full_unstemmed Automatically Extracted Antarctic Coastline Using Remotely-Sensed Data: An Update
title_sort automatically extracted antarctic coastline using remotely-sensed data: an update
publisher MDPI AG
publishDate 2019
url https://doi.org/10.3390/rs11161844
https://doaj.org/article/0e50affd1fe443d397c63206313ca5e7
long_lat ENVELOPE(59.326,59.326,-67.248,-67.248)
ENVELOPE(-72.500,-72.500,-70.416,-70.416)
geographic Antarctic
The Antarctic
Antarctic Peninsula
East Antarctica
Wilkins
Wilkins Ice Shelf
geographic_facet Antarctic
The Antarctic
Antarctic Peninsula
East Antarctica
Wilkins
Wilkins Ice Shelf
genre Antarc*
Antarctic
Antarctic Peninsula
Antarctica
East Antarctica
Ice Sheet
Ice Shelf
Ice Shelves
Wilkins Ice Shelf
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Antarctica
East Antarctica
Ice Sheet
Ice Shelf
Ice Shelves
Wilkins Ice Shelf
op_source Remote Sensing, Vol 11, Iss 16, p 1844 (2019)
op_relation https://www.mdpi.com/2072-4292/11/16/1844
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs11161844
https://doaj.org/article/0e50affd1fe443d397c63206313ca5e7
op_doi https://doi.org/10.3390/rs11161844
container_title Remote Sensing
container_volume 11
container_issue 16
container_start_page 1844
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