Automatically delineating the calving front of Jakobshavn Isbræ from multitemporal TerraSAR-X images: a deep learning approach
The calving fronts of many tidewater glaciers in Greenland have been undergoing strong seasonal and interannual fluctuations. Conventionally, calving front positions have been manually delineated from remote sensing images. But manual practices can be labor-intensive and time-consuming, particularly...
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Copernicus Publications
2019
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ftdoajarticles:oai:doaj.org/article:40d0c4478d6c4c4785c38188f1cde657 2023-05-15T16:27:34+02:00 Automatically delineating the calving front of Jakobshavn Isbræ from multitemporal TerraSAR-X images: a deep learning approach E. Zhang L. Liu L. Huang 2019-06-01T00:00:00Z https://doi.org/10.5194/tc-13-1729-2019 https://doaj.org/article/40d0c4478d6c4c4785c38188f1cde657 EN eng Copernicus Publications https://www.the-cryosphere.net/13/1729/2019/tc-13-1729-2019.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-13-1729-2019 1994-0416 1994-0424 https://doaj.org/article/40d0c4478d6c4c4785c38188f1cde657 The Cryosphere, Vol 13, Pp 1729-1741 (2019) Environmental sciences GE1-350 Geology QE1-996.5 article 2019 ftdoajarticles https://doi.org/10.5194/tc-13-1729-2019 2022-12-31T15:58:10Z The calving fronts of many tidewater glaciers in Greenland have been undergoing strong seasonal and interannual fluctuations. Conventionally, calving front positions have been manually delineated from remote sensing images. But manual practices can be labor-intensive and time-consuming, particularly when processing a large number of images taken over decades and covering large areas with many glaciers, such as Greenland. Applying U-Net, a deep learning architecture, to multitemporal synthetic aperture radar images taken by the TerraSAR-X satellite, we here automatically delineate the calving front positions of Jakobshavn Isbræ from 2009 to 2015. Our results are consistent with the manually delineated products generated by the Greenland Ice Sheet Climate Change Initiative project. We show that the calving fronts of Jakobshavn's two main branches retreated at mean rates of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>-</mo><mn mathvariant="normal">117</mn><mo>±</mo><mn mathvariant="normal">1</mn></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="46pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="748ecebd20d29add9c85dda21961b026"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-13-1729-2019-ie00001.svg" width="46pt" height="10pt" src="tc-13-1729-2019-ie00001.png"/></svg:svg> and <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>-</mo><mn mathvariant="normal">157</mn><mo>±</mo><mn mathvariant="normal">1</mn></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="46pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="a87faaa2796741d1190a8d8afebc05f5"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" ... Article in Journal/Newspaper Greenland Ice Sheet Jakobshavn Jakobshavn isbræ The Cryosphere Directory of Open Access Journals: DOAJ Articles Greenland Jakobshavn Isbræ ENVELOPE(-49.917,-49.917,69.167,69.167) The Cryosphere 13 6 1729 1741 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Environmental sciences GE1-350 Geology QE1-996.5 |
spellingShingle |
Environmental sciences GE1-350 Geology QE1-996.5 E. Zhang L. Liu L. Huang Automatically delineating the calving front of Jakobshavn Isbræ from multitemporal TerraSAR-X images: a deep learning approach |
topic_facet |
Environmental sciences GE1-350 Geology QE1-996.5 |
description |
The calving fronts of many tidewater glaciers in Greenland have been undergoing strong seasonal and interannual fluctuations. Conventionally, calving front positions have been manually delineated from remote sensing images. But manual practices can be labor-intensive and time-consuming, particularly when processing a large number of images taken over decades and covering large areas with many glaciers, such as Greenland. Applying U-Net, a deep learning architecture, to multitemporal synthetic aperture radar images taken by the TerraSAR-X satellite, we here automatically delineate the calving front positions of Jakobshavn Isbræ from 2009 to 2015. Our results are consistent with the manually delineated products generated by the Greenland Ice Sheet Climate Change Initiative project. We show that the calving fronts of Jakobshavn's two main branches retreated at mean rates of <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>-</mo><mn mathvariant="normal">117</mn><mo>±</mo><mn mathvariant="normal">1</mn></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="46pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="748ecebd20d29add9c85dda21961b026"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-13-1729-2019-ie00001.svg" width="46pt" height="10pt" src="tc-13-1729-2019-ie00001.png"/></svg:svg> and <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow><mo>-</mo><mn mathvariant="normal">157</mn><mo>±</mo><mn mathvariant="normal">1</mn></mrow></math> <svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="46pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="a87faaa2796741d1190a8d8afebc05f5"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" ... |
format |
Article in Journal/Newspaper |
author |
E. Zhang L. Liu L. Huang |
author_facet |
E. Zhang L. Liu L. Huang |
author_sort |
E. Zhang |
title |
Automatically delineating the calving front of Jakobshavn Isbræ from multitemporal TerraSAR-X images: a deep learning approach |
title_short |
Automatically delineating the calving front of Jakobshavn Isbræ from multitemporal TerraSAR-X images: a deep learning approach |
title_full |
Automatically delineating the calving front of Jakobshavn Isbræ from multitemporal TerraSAR-X images: a deep learning approach |
title_fullStr |
Automatically delineating the calving front of Jakobshavn Isbræ from multitemporal TerraSAR-X images: a deep learning approach |
title_full_unstemmed |
Automatically delineating the calving front of Jakobshavn Isbræ from multitemporal TerraSAR-X images: a deep learning approach |
title_sort |
automatically delineating the calving front of jakobshavn isbræ from multitemporal terrasar-x images: a deep learning approach |
publisher |
Copernicus Publications |
publishDate |
2019 |
url |
https://doi.org/10.5194/tc-13-1729-2019 https://doaj.org/article/40d0c4478d6c4c4785c38188f1cde657 |
long_lat |
ENVELOPE(-49.917,-49.917,69.167,69.167) |
geographic |
Greenland Jakobshavn Isbræ |
geographic_facet |
Greenland Jakobshavn Isbræ |
genre |
Greenland Ice Sheet Jakobshavn Jakobshavn isbræ The Cryosphere |
genre_facet |
Greenland Ice Sheet Jakobshavn Jakobshavn isbræ The Cryosphere |
op_source |
The Cryosphere, Vol 13, Pp 1729-1741 (2019) |
op_relation |
https://www.the-cryosphere.net/13/1729/2019/tc-13-1729-2019.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-13-1729-2019 1994-0416 1994-0424 https://doaj.org/article/40d0c4478d6c4c4785c38188f1cde657 |
op_doi |
https://doi.org/10.5194/tc-13-1729-2019 |
container_title |
The Cryosphere |
container_volume |
13 |
container_issue |
6 |
container_start_page |
1729 |
op_container_end_page |
1741 |
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1766016962315419648 |