A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2
Antarctic digital elevation models (DEMs) are essential for fieldwork, ice motion tracking and the numerical modelling of the ice sheet. In the past 30 years, several Antarctic DEMs derived from satellite data have been published. However, these DEMs either have coarse spatial resolution or aggregat...
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Copernicus Publications
2022
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00061762 2023-05-15T13:49:21+02:00 A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2 Shen, Xiaoyi Ke, Chang-Qing Fan, Yubin Drolma, Lhakpa 2022-07 electronic https://doi.org/10.5194/essd-14-3075-2022 https://noa.gwlb.de/receive/cop_mods_00061762 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061163/essd-14-3075-2022.pdf https://essd.copernicus.org/articles/14/3075/2022/essd-14-3075-2022.pdf eng eng Copernicus Publications Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516 https://doi.org/10.5194/essd-14-3075-2022 https://noa.gwlb.de/receive/cop_mods_00061762 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061163/essd-14-3075-2022.pdf https://essd.copernicus.org/articles/14/3075/2022/essd-14-3075-2022.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2022 ftnonlinearchiv https://doi.org/10.5194/essd-14-3075-2022 2022-07-10T23:11:45Z Antarctic digital elevation models (DEMs) are essential for fieldwork, ice motion tracking and the numerical modelling of the ice sheet. In the past 30 years, several Antarctic DEMs derived from satellite data have been published. However, these DEMs either have coarse spatial resolution or aggregate observations spanning several years, which limit their further scientific applications. In this study, the new generation satellite laser altimeter Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) is used to generate a new Antarctic DEM for both the ice sheet and ice shelves. Approximately 4.69 × 109 ICESat-2 measurement points from November 2018 to November 2019 are used to estimate surface elevations at resolutions of 500 m and 1 km based on a spatiotemporal fitting method. Approximately 74 % of Antarctica is observed and the remaining observation gaps are interpolated using the normal kriging method. The DEM is formed from the estimated elevations in 500 m and 1 km grid cells, and is finally posted at the resolution of 500 m. National Aeronautics and Space Administration (NASA) Operation IceBridge (OIB) airborne data are used to evaluate the generated Antarctic DEM (hereafter called the ICESat-2 DEM) in individual Antarctic regions and surface types. Overall, a median bias of −0.19 m and a root-mean-square deviation of 10.83 m result from approximately 5.2 × 106 OIB measurement points. The accuracy and uncertainty of the ICESat-2 DEM vary in relation to the surface slope and roughness, and more reliable estimates are found in the flat ice sheet interior. The ICESat-2 DEM is comparable to other DEMs derived from altimetry, stereophotogrammetry and interferometry. Similar results are found when comparing to elevation measurements from kinematic Global Navigation Satellite System (GNSS) (GPS and the Russian GLONASS) transects. The elevations of high accuracy and ability of annual updates make the ICESat-2 DEM an addition to the existing Antarctic DEM groups, and it can be further used for other scientific ... Article in Journal/Newspaper Antarc* Antarctic Antarctica Ice Sheet Ice Shelves NASA Operation IceBridge (OIB) Niedersächsisches Online-Archiv NOA Antarctic Earth System Science Data 14 7 3075 3089 |
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article Verlagsveröffentlichung Shen, Xiaoyi Ke, Chang-Qing Fan, Yubin Drolma, Lhakpa A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2 |
topic_facet |
article Verlagsveröffentlichung |
description |
Antarctic digital elevation models (DEMs) are essential for fieldwork, ice motion tracking and the numerical modelling of the ice sheet. In the past 30 years, several Antarctic DEMs derived from satellite data have been published. However, these DEMs either have coarse spatial resolution or aggregate observations spanning several years, which limit their further scientific applications. In this study, the new generation satellite laser altimeter Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) is used to generate a new Antarctic DEM for both the ice sheet and ice shelves. Approximately 4.69 × 109 ICESat-2 measurement points from November 2018 to November 2019 are used to estimate surface elevations at resolutions of 500 m and 1 km based on a spatiotemporal fitting method. Approximately 74 % of Antarctica is observed and the remaining observation gaps are interpolated using the normal kriging method. The DEM is formed from the estimated elevations in 500 m and 1 km grid cells, and is finally posted at the resolution of 500 m. National Aeronautics and Space Administration (NASA) Operation IceBridge (OIB) airborne data are used to evaluate the generated Antarctic DEM (hereafter called the ICESat-2 DEM) in individual Antarctic regions and surface types. Overall, a median bias of −0.19 m and a root-mean-square deviation of 10.83 m result from approximately 5.2 × 106 OIB measurement points. The accuracy and uncertainty of the ICESat-2 DEM vary in relation to the surface slope and roughness, and more reliable estimates are found in the flat ice sheet interior. The ICESat-2 DEM is comparable to other DEMs derived from altimetry, stereophotogrammetry and interferometry. Similar results are found when comparing to elevation measurements from kinematic Global Navigation Satellite System (GNSS) (GPS and the Russian GLONASS) transects. The elevations of high accuracy and ability of annual updates make the ICESat-2 DEM an addition to the existing Antarctic DEM groups, and it can be further used for other scientific ... |
format |
Article in Journal/Newspaper |
author |
Shen, Xiaoyi Ke, Chang-Qing Fan, Yubin Drolma, Lhakpa |
author_facet |
Shen, Xiaoyi Ke, Chang-Qing Fan, Yubin Drolma, Lhakpa |
author_sort |
Shen, Xiaoyi |
title |
A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2 |
title_short |
A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2 |
title_full |
A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2 |
title_fullStr |
A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2 |
title_full_unstemmed |
A new digital elevation model (DEM) dataset of the entire Antarctic continent derived from ICESat-2 |
title_sort |
new digital elevation model (dem) dataset of the entire antarctic continent derived from icesat-2 |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/essd-14-3075-2022 https://noa.gwlb.de/receive/cop_mods_00061762 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061163/essd-14-3075-2022.pdf https://essd.copernicus.org/articles/14/3075/2022/essd-14-3075-2022.pdf |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic Antarctica Ice Sheet Ice Shelves NASA Operation IceBridge (OIB) |
genre_facet |
Antarc* Antarctic Antarctica Ice Sheet Ice Shelves NASA Operation IceBridge (OIB) |
op_relation |
Earth System Science Data -- http://www.earth-syst-sci-data.net/volumes_and_issues.html -- http://www.bibliothek.uni-regensburg.de/ezeit/?2475469 -- 1866-3516 https://doi.org/10.5194/essd-14-3075-2022 https://noa.gwlb.de/receive/cop_mods_00061762 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061163/essd-14-3075-2022.pdf https://essd.copernicus.org/articles/14/3075/2022/essd-14-3075-2022.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/essd-14-3075-2022 |
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Earth System Science Data |
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14 |
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7 |
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3075 |
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3089 |
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