Characterising the ice sheet surface in Northeast Greenland using Sentinel-1 SAR data
peer reviewed Abstract Over half of the recent mass loss from the Greenland ice sheet, and its associated contribution to global sea level rise, can be attributed to increased surface meltwater runoff, with the remainder a result of dynamical processes such as calving and ice discharge. It is theref...
Published in: | Journal of Glaciology |
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Cambridge University Press (CUP)
2023
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Online Access: | https://orbi.uliege.be/handle/2268/306270 https://orbi.uliege.be/bitstream/2268/306270/1/characterising-the-ice-sheet-surface-in-northeast-greenland-using-sentinel-1-sar-data.pdf https://doi.org/10.1017/jog.2023.64 |
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ftorbi:oai:orbi.ulg.ac.be:2268/306270 2024-04-21T08:01:18+00:00 Characterising the ice sheet surface in Northeast Greenland using Sentinel-1 SAR data Shu, Qingying Killick, Rebecca Leeson, Amber Nemeth, Christopher Fettweis, Xavier Hogg, Anna Leslie, David SPHERES - ULiège 2023-08-31 https://orbi.uliege.be/handle/2268/306270 https://orbi.uliege.be/bitstream/2268/306270/1/characterising-the-ice-sheet-surface-in-northeast-greenland-using-sentinel-1-sar-data.pdf https://doi.org/10.1017/jog.2023.64 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143023000643 urn:issn:0022-1430 urn:issn:1727-5652 https://orbi.uliege.be/handle/2268/306270 info:hdl:2268/306270 https://orbi.uliege.be/bitstream/2268/306270/1/characterising-the-ice-sheet-surface-in-northeast-greenland-using-sentinel-1-sar-data.pdf doi:10.1017/jog.2023.64 scopus-id:2-s2.0-85170079476 open access http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess Journal of Glaciology, 1-12 (2023-08-31) Earth-Surface Processes Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique journal article http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article peer reviewed 2023 ftorbi https://doi.org/10.1017/jog.2023.64 2024-03-27T14:58:46Z peer reviewed Abstract Over half of the recent mass loss from the Greenland ice sheet, and its associated contribution to global sea level rise, can be attributed to increased surface meltwater runoff, with the remainder a result of dynamical processes such as calving and ice discharge. It is therefore important to quantify the distribution of melting on the ice sheet if we are to adequately understand past ice sheet change and make predictions for the future. In this article, we present a novel semi-empirical approach for characterising ice sheet surface conditions using high-resolution synthetic aperture radar (SAR) backscatter data from the Sentinel-1 satellite. We apply a state-space model to nine sites within North-East Greenland to identify changes in SAR backscatter, and we attribute these to different surface types with reference to optical satellite imagery and meteorological data. A set of decision-making rules for labelling ice sheet melting states are determined based on this analysis and subsequently applied to previously unseen sites. We show that our method performs well in (1) recognising some of the ice sheet surface types such as snow and dark ice and (2) determining whether the surface is melting or not melting. Sentinel-1 SAR data are of high spatial resolution; thus, in developing a method to identify the state of the surface from these data, we improve our capability to understand the variation of ice sheet melting across time and space. Article in Journal/Newspaper East Greenland Greenland Ice Sheet Journal of Glaciology University of Liège: ORBi (Open Repository and Bibliography) Journal of Glaciology 1 12 |
institution |
Open Polar |
collection |
University of Liège: ORBi (Open Repository and Bibliography) |
op_collection_id |
ftorbi |
language |
English |
topic |
Earth-Surface Processes Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique |
spellingShingle |
Earth-Surface Processes Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique Shu, Qingying Killick, Rebecca Leeson, Amber Nemeth, Christopher Fettweis, Xavier Hogg, Anna Leslie, David Characterising the ice sheet surface in Northeast Greenland using Sentinel-1 SAR data |
topic_facet |
Earth-Surface Processes Physical chemical mathematical & earth Sciences Earth sciences & physical geography Physique chimie mathématiques & sciences de la terre Sciences de la terre & géographie physique |
description |
peer reviewed Abstract Over half of the recent mass loss from the Greenland ice sheet, and its associated contribution to global sea level rise, can be attributed to increased surface meltwater runoff, with the remainder a result of dynamical processes such as calving and ice discharge. It is therefore important to quantify the distribution of melting on the ice sheet if we are to adequately understand past ice sheet change and make predictions for the future. In this article, we present a novel semi-empirical approach for characterising ice sheet surface conditions using high-resolution synthetic aperture radar (SAR) backscatter data from the Sentinel-1 satellite. We apply a state-space model to nine sites within North-East Greenland to identify changes in SAR backscatter, and we attribute these to different surface types with reference to optical satellite imagery and meteorological data. A set of decision-making rules for labelling ice sheet melting states are determined based on this analysis and subsequently applied to previously unseen sites. We show that our method performs well in (1) recognising some of the ice sheet surface types such as snow and dark ice and (2) determining whether the surface is melting or not melting. Sentinel-1 SAR data are of high spatial resolution; thus, in developing a method to identify the state of the surface from these data, we improve our capability to understand the variation of ice sheet melting across time and space. |
author2 |
SPHERES - ULiège |
format |
Article in Journal/Newspaper |
author |
Shu, Qingying Killick, Rebecca Leeson, Amber Nemeth, Christopher Fettweis, Xavier Hogg, Anna Leslie, David |
author_facet |
Shu, Qingying Killick, Rebecca Leeson, Amber Nemeth, Christopher Fettweis, Xavier Hogg, Anna Leslie, David |
author_sort |
Shu, Qingying |
title |
Characterising the ice sheet surface in Northeast Greenland using Sentinel-1 SAR data |
title_short |
Characterising the ice sheet surface in Northeast Greenland using Sentinel-1 SAR data |
title_full |
Characterising the ice sheet surface in Northeast Greenland using Sentinel-1 SAR data |
title_fullStr |
Characterising the ice sheet surface in Northeast Greenland using Sentinel-1 SAR data |
title_full_unstemmed |
Characterising the ice sheet surface in Northeast Greenland using Sentinel-1 SAR data |
title_sort |
characterising the ice sheet surface in northeast greenland using sentinel-1 sar data |
publisher |
Cambridge University Press (CUP) |
publishDate |
2023 |
url |
https://orbi.uliege.be/handle/2268/306270 https://orbi.uliege.be/bitstream/2268/306270/1/characterising-the-ice-sheet-surface-in-northeast-greenland-using-sentinel-1-sar-data.pdf https://doi.org/10.1017/jog.2023.64 |
genre |
East Greenland Greenland Ice Sheet Journal of Glaciology |
genre_facet |
East Greenland Greenland Ice Sheet Journal of Glaciology |
op_source |
Journal of Glaciology, 1-12 (2023-08-31) |
op_relation |
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143023000643 urn:issn:0022-1430 urn:issn:1727-5652 https://orbi.uliege.be/handle/2268/306270 info:hdl:2268/306270 https://orbi.uliege.be/bitstream/2268/306270/1/characterising-the-ice-sheet-surface-in-northeast-greenland-using-sentinel-1-sar-data.pdf doi:10.1017/jog.2023.64 scopus-id:2-s2.0-85170079476 |
op_rights |
open access http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1017/jog.2023.64 |
container_title |
Journal of Glaciology |
container_start_page |
1 |
op_container_end_page |
12 |
_version_ |
1796941537415790592 |