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: Yu, Y, Zhang, Z, Shokr, M, Hui, F, Cheng, X, Chi, Z, Heil, P, Chen, Z
Format: Article in Journal/Newspaper
Language:English
Published: MDPIAG 2019
Subjects:
Online Access:https://doi.org/10.3390/rs11161844
http://ecite.utas.edu.au/137627
id ftunivtasecite:oai:ecite.utas.edu.au:137627
record_format openpolar
spelling ftunivtasecite:oai:ecite.utas.edu.au:137627 2023-05-15T13:42:40+02:00 Automatically extracted Antarctic coastline using remotely-sensed data: an update Yu, Y Zhang, Z Shokr, M Hui, F Cheng, X Chi, Z Heil, P Chen, Z 2019 application/pdf https://doi.org/10.3390/rs11161844 http://ecite.utas.edu.au/137627 en eng MDPIAG http://ecite.utas.edu.au/137627/1/137267 - Automatically extracted Antarctic coastline using remotely-sensed data.pdf http://dx.doi.org/10.3390/rs11161844 Yu, Y and Zhang, Z and Shokr, M and Hui, F and Cheng, X and Chi, Z and Heil, P and Chen, Z, Automatically extracted Antarctic coastline using remotely-sensed data: an update, Remote Sensing, 11, (16) Article 1844. ISSN 2072-4292 (2019) [Refereed Article] http://ecite.utas.edu.au/137627 Earth Sciences Other earth sciences Other earth sciences not elsewhere classified Refereed Article PeerReviewed 2019 ftunivtasecite https://doi.org/10.3390/rs11161844 2022-08-29T22:17:53Z 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 eCite UTAS (University of Tasmania) 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 eCite UTAS (University of Tasmania)
op_collection_id ftunivtasecite
language English
topic Earth Sciences
Other earth sciences
Other earth sciences not elsewhere classified
spellingShingle Earth Sciences
Other earth sciences
Other earth sciences not elsewhere classified
Yu, Y
Zhang, Z
Shokr, M
Hui, F
Cheng, X
Chi, Z
Heil, P
Chen, Z
Automatically extracted Antarctic coastline using remotely-sensed data: an update
topic_facet Earth Sciences
Other earth sciences
Other earth sciences not elsewhere classified
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 Yu, Y
Zhang, Z
Shokr, M
Hui, F
Cheng, X
Chi, Z
Heil, P
Chen, Z
author_facet Yu, Y
Zhang, Z
Shokr, M
Hui, F
Cheng, X
Chi, Z
Heil, P
Chen, Z
author_sort Yu, Y
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 MDPIAG
publishDate 2019
url https://doi.org/10.3390/rs11161844
http://ecite.utas.edu.au/137627
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_relation http://ecite.utas.edu.au/137627/1/137267 - Automatically extracted Antarctic coastline using remotely-sensed data.pdf
http://dx.doi.org/10.3390/rs11161844
Yu, Y and Zhang, Z and Shokr, M and Hui, F and Cheng, X and Chi, Z and Heil, P and Chen, Z, Automatically extracted Antarctic coastline using remotely-sensed data: an update, Remote Sensing, 11, (16) Article 1844. ISSN 2072-4292 (2019) [Refereed Article]
http://ecite.utas.edu.au/137627
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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