Detection of Surface Crevasses over Antarctic Ice Shelves Using SAR Imagery and Deep Learning Method
Crevasses are formed by glacier movement and the stresses within glacier ice. Knowledge of the crevasses’ distribution is critical for understanding the glacier and ice shelf stability. In this study, we propose an automated crevasse extraction framework based on Sentinel-1 SAR imagery and an improv...
Published in: | Remote Sensing |
---|---|
Main Authors: | , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2022
|
Subjects: | |
Online Access: | https://doi.org/10.3390/rs14030487 |
id |
ftmdpi:oai:mdpi.com:/2072-4292/14/3/487/ |
---|---|
record_format |
openpolar |
spelling |
ftmdpi:oai:mdpi.com:/2072-4292/14/3/487/ 2023-08-20T03:59:31+02:00 Detection of Surface Crevasses over Antarctic Ice Shelves Using SAR Imagery and Deep Learning Method Jingjing Zhao Shuang Liang Xinwu Li Yiru Duan Lei Liang agris 2022-01-20 application/pdf https://doi.org/10.3390/rs14030487 EN eng Multidisciplinary Digital Publishing Institute Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs14030487 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 3; Pages: 487 crevasses Sentinel-1 SAR improved U-Net network Antarctic ice shelves Text 2022 ftmdpi https://doi.org/10.3390/rs14030487 2023-08-01T03:53:53Z Crevasses are formed by glacier movement and the stresses within glacier ice. Knowledge of the crevasses’ distribution is critical for understanding the glacier and ice shelf stability. In this study, we propose an automated crevasse extraction framework based on Sentinel-1 SAR imagery and an improved U-Net network. The spatial distribution of crevasses on Antarctic ice shelves in 2020 was mapped with a spatial resolution of ~40 m, and the characteristics of crevasses on the Nickerson Ice Shelf, Jelbart Ice Shelf, Amery Ice Shelf, Thwaites Glacier, and Shackleton Ice Shelf were analyzed. The results indicated the extraction accuracy of our method was 84.2% and the F1 score was 72.5%. Compared with previous published studies, the identification of the crevasse areas had good visual consistency. However, in some scenes, the recall rate was relatively lower due to the quality of the SAR image, terrain surrounding the crevasses, and observation geometry. The crevasses on different ice shelves had different characteristics in terms of length, density, type, and spatial pattern, implying the different stress structures of ice shelves. The Thwaites Glacier and the Nickerson Ice Shelf in the West Antarctica Ice Sheet (WAIS) had shorter ice crevasses, whereas the lengths of ice crevasses on the Jelbart Ice Shelf and the Amery Ice Shelf in the East Antarctica Ice Sheet (EAIS) were relatively long. Nevertheless, there are more closely spaced crevasses on the ice shelf in WAIS compared to that in the EAIS. For the distribution of crevasse types, the Nickerson Ice Shelf and the Shackleton Ice Shelf had various forms of crevasses. There were mainly transverse crevasses developed on the Jelbart Ice Shelf and the Amery Ice Shelf. This study provides a helpful reference and guidance for automated crevasse extraction. The method proposed by this study manifests great application potential and the efficacy of producing a time-series crevasse data set with higher spatial resolution and larger coverage. In the future, more ... Text Amery Ice Shelf Antarc* Antarctic Antarctica East Antarctica Ice Sheet Ice Shelf Ice Shelves Jelbart Ice Shelf Nickerson Ice Shelf Shackleton Ice Shelf Thwaites Glacier West Antarctica MDPI Open Access Publishing Antarctic East Antarctica West Antarctica Shackleton Amery ENVELOPE(-94.063,-94.063,56.565,56.565) Amery Ice Shelf ENVELOPE(71.000,71.000,-69.750,-69.750) Thwaites Glacier ENVELOPE(-106.750,-106.750,-75.500,-75.500) Nickerson ENVELOPE(168.800,168.800,-83.450,-83.450) Shackleton Ice Shelf ENVELOPE(100.504,100.504,-65.996,-65.996) Jelbart Ice Shelf ENVELOPE(-4.500,-4.500,-70.500,-70.500) Nickerson Ice Shelf ENVELOPE(-145.000,-145.000,-75.750,-75.750) Remote Sensing 14 3 487 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
crevasses Sentinel-1 SAR improved U-Net network Antarctic ice shelves |
spellingShingle |
crevasses Sentinel-1 SAR improved U-Net network Antarctic ice shelves Jingjing Zhao Shuang Liang Xinwu Li Yiru Duan Lei Liang Detection of Surface Crevasses over Antarctic Ice Shelves Using SAR Imagery and Deep Learning Method |
topic_facet |
crevasses Sentinel-1 SAR improved U-Net network Antarctic ice shelves |
description |
Crevasses are formed by glacier movement and the stresses within glacier ice. Knowledge of the crevasses’ distribution is critical for understanding the glacier and ice shelf stability. In this study, we propose an automated crevasse extraction framework based on Sentinel-1 SAR imagery and an improved U-Net network. The spatial distribution of crevasses on Antarctic ice shelves in 2020 was mapped with a spatial resolution of ~40 m, and the characteristics of crevasses on the Nickerson Ice Shelf, Jelbart Ice Shelf, Amery Ice Shelf, Thwaites Glacier, and Shackleton Ice Shelf were analyzed. The results indicated the extraction accuracy of our method was 84.2% and the F1 score was 72.5%. Compared with previous published studies, the identification of the crevasse areas had good visual consistency. However, in some scenes, the recall rate was relatively lower due to the quality of the SAR image, terrain surrounding the crevasses, and observation geometry. The crevasses on different ice shelves had different characteristics in terms of length, density, type, and spatial pattern, implying the different stress structures of ice shelves. The Thwaites Glacier and the Nickerson Ice Shelf in the West Antarctica Ice Sheet (WAIS) had shorter ice crevasses, whereas the lengths of ice crevasses on the Jelbart Ice Shelf and the Amery Ice Shelf in the East Antarctica Ice Sheet (EAIS) were relatively long. Nevertheless, there are more closely spaced crevasses on the ice shelf in WAIS compared to that in the EAIS. For the distribution of crevasse types, the Nickerson Ice Shelf and the Shackleton Ice Shelf had various forms of crevasses. There were mainly transverse crevasses developed on the Jelbart Ice Shelf and the Amery Ice Shelf. This study provides a helpful reference and guidance for automated crevasse extraction. The method proposed by this study manifests great application potential and the efficacy of producing a time-series crevasse data set with higher spatial resolution and larger coverage. In the future, more ... |
format |
Text |
author |
Jingjing Zhao Shuang Liang Xinwu Li Yiru Duan Lei Liang |
author_facet |
Jingjing Zhao Shuang Liang Xinwu Li Yiru Duan Lei Liang |
author_sort |
Jingjing Zhao |
title |
Detection of Surface Crevasses over Antarctic Ice Shelves Using SAR Imagery and Deep Learning Method |
title_short |
Detection of Surface Crevasses over Antarctic Ice Shelves Using SAR Imagery and Deep Learning Method |
title_full |
Detection of Surface Crevasses over Antarctic Ice Shelves Using SAR Imagery and Deep Learning Method |
title_fullStr |
Detection of Surface Crevasses over Antarctic Ice Shelves Using SAR Imagery and Deep Learning Method |
title_full_unstemmed |
Detection of Surface Crevasses over Antarctic Ice Shelves Using SAR Imagery and Deep Learning Method |
title_sort |
detection of surface crevasses over antarctic ice shelves using sar imagery and deep learning method |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/rs14030487 |
op_coverage |
agris |
long_lat |
ENVELOPE(-94.063,-94.063,56.565,56.565) ENVELOPE(71.000,71.000,-69.750,-69.750) ENVELOPE(-106.750,-106.750,-75.500,-75.500) ENVELOPE(168.800,168.800,-83.450,-83.450) ENVELOPE(100.504,100.504,-65.996,-65.996) ENVELOPE(-4.500,-4.500,-70.500,-70.500) ENVELOPE(-145.000,-145.000,-75.750,-75.750) |
geographic |
Antarctic East Antarctica West Antarctica Shackleton Amery Amery Ice Shelf Thwaites Glacier Nickerson Shackleton Ice Shelf Jelbart Ice Shelf Nickerson Ice Shelf |
geographic_facet |
Antarctic East Antarctica West Antarctica Shackleton Amery Amery Ice Shelf Thwaites Glacier Nickerson Shackleton Ice Shelf Jelbart Ice Shelf Nickerson Ice Shelf |
genre |
Amery Ice Shelf Antarc* Antarctic Antarctica East Antarctica Ice Sheet Ice Shelf Ice Shelves Jelbart Ice Shelf Nickerson Ice Shelf Shackleton Ice Shelf Thwaites Glacier West Antarctica |
genre_facet |
Amery Ice Shelf Antarc* Antarctic Antarctica East Antarctica Ice Sheet Ice Shelf Ice Shelves Jelbart Ice Shelf Nickerson Ice Shelf Shackleton Ice Shelf Thwaites Glacier West Antarctica |
op_source |
Remote Sensing; Volume 14; Issue 3; Pages: 487 |
op_relation |
Remote Sensing in Geology, Geomorphology and Hydrology https://dx.doi.org/10.3390/rs14030487 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs14030487 |
container_title |
Remote Sensing |
container_volume |
14 |
container_issue |
3 |
container_start_page |
487 |
_version_ |
1774713325767098368 |