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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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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1766276823995383808 |