A new Greenland digital elevation model derived from ICESat-2 during 2018–2019

Greenland digital elevation models (DEMs) are indispensable to fieldwork, ice velocity calculations, and mass change estimations. Previous DEMs have provided reasonable estimations for all of Greenland, but the time span of applied source data may lead to mass change estimation bias. To provide a DE...

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Published in:Earth System Science Data
Main Authors: Y. Fan, C.-Q. Ke, X. Shen
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2022
Subjects:
geo
Online Access:https://doi.org/10.5194/essd-14-781-2022
https://essd.copernicus.org/articles/14/781/2022/essd-14-781-2022.pdf
https://doaj.org/article/e0250565defe4909b685d47e0cd78e98
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spelling fttriple:oai:gotriple.eu:oai:doaj.org/article:e0250565defe4909b685d47e0cd78e98 2023-05-15T13:07:36+02:00 A new Greenland digital elevation model derived from ICESat-2 during 2018–2019 Y. Fan C.-Q. Ke X. Shen 2022-02-01 https://doi.org/10.5194/essd-14-781-2022 https://essd.copernicus.org/articles/14/781/2022/essd-14-781-2022.pdf https://doaj.org/article/e0250565defe4909b685d47e0cd78e98 en eng Copernicus Publications doi:10.5194/essd-14-781-2022 1866-3508 1866-3516 https://essd.copernicus.org/articles/14/781/2022/essd-14-781-2022.pdf https://doaj.org/article/e0250565defe4909b685d47e0cd78e98 undefined Earth System Science Data, Vol 14, Pp 781-794 (2022) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2022 fttriple https://doi.org/10.5194/essd-14-781-2022 2023-01-22T18:03:28Z Greenland digital elevation models (DEMs) are indispensable to fieldwork, ice velocity calculations, and mass change estimations. Previous DEMs have provided reasonable estimations for all of Greenland, but the time span of applied source data may lead to mass change estimation bias. To provide a DEM with a specific time stamp, we applied approximately 5.8×108 ICESat-2 observations from November 2018 to November 2019 to generate a new DEM, including the ice sheet and glaciers in peripheral Greenland. A spatiotemporal model fit process was performed at 500 m, 1 km, 2 km, and 5 km grid cells separately, and the final DEM was posted at the modal resolution of 500 m. A total of 98 % of the grids were obtained by the model fit, and the remaining DEM gaps were estimated via the ordinary Kriging interpolation method. Compared with IceBridge mission data acquired by the Airborne Topographic Mapper (ATM) lidar system, the ICESat-2 DEM was estimated to have a maximum median difference of −0.48 m. The performance of the grids obtained by model fit and interpolation was similar, both of which agreed well with the IceBridge data. DEM uncertainty rises in regions of low latitude and high slope or roughness. Furthermore, the ICESat-2 DEM showed significant accuracy improvements compared with other altimeter-derived DEMs, and the accuracy was comparable to those derived from stereophotogrammetry and interferometry. Overall, the ICESat-2 DEM showed excellent accuracy stability under various topographic conditions, which can provide a specific time-stamped DEM with high accuracy that will be useful to study Greenland elevation and mass balance changes. The Greenland DEM and its uncertainty are available at https://doi.org/10.11888/Geogra.tpdc.271336 (Fan et al., 2021). Article in Journal/Newspaper Airborne Topographic Mapper Greenland Ice Sheet Unknown Greenland Earth System Science Data 14 2 781 794
institution Open Polar
collection Unknown
op_collection_id fttriple
language English
topic geo
envir
spellingShingle geo
envir
Y. Fan
C.-Q. Ke
X. Shen
A new Greenland digital elevation model derived from ICESat-2 during 2018–2019
topic_facet geo
envir
description Greenland digital elevation models (DEMs) are indispensable to fieldwork, ice velocity calculations, and mass change estimations. Previous DEMs have provided reasonable estimations for all of Greenland, but the time span of applied source data may lead to mass change estimation bias. To provide a DEM with a specific time stamp, we applied approximately 5.8×108 ICESat-2 observations from November 2018 to November 2019 to generate a new DEM, including the ice sheet and glaciers in peripheral Greenland. A spatiotemporal model fit process was performed at 500 m, 1 km, 2 km, and 5 km grid cells separately, and the final DEM was posted at the modal resolution of 500 m. A total of 98 % of the grids were obtained by the model fit, and the remaining DEM gaps were estimated via the ordinary Kriging interpolation method. Compared with IceBridge mission data acquired by the Airborne Topographic Mapper (ATM) lidar system, the ICESat-2 DEM was estimated to have a maximum median difference of −0.48 m. The performance of the grids obtained by model fit and interpolation was similar, both of which agreed well with the IceBridge data. DEM uncertainty rises in regions of low latitude and high slope or roughness. Furthermore, the ICESat-2 DEM showed significant accuracy improvements compared with other altimeter-derived DEMs, and the accuracy was comparable to those derived from stereophotogrammetry and interferometry. Overall, the ICESat-2 DEM showed excellent accuracy stability under various topographic conditions, which can provide a specific time-stamped DEM with high accuracy that will be useful to study Greenland elevation and mass balance changes. The Greenland DEM and its uncertainty are available at https://doi.org/10.11888/Geogra.tpdc.271336 (Fan et al., 2021).
format Article in Journal/Newspaper
author Y. Fan
C.-Q. Ke
X. Shen
author_facet Y. Fan
C.-Q. Ke
X. Shen
author_sort Y. Fan
title A new Greenland digital elevation model derived from ICESat-2 during 2018–2019
title_short A new Greenland digital elevation model derived from ICESat-2 during 2018–2019
title_full A new Greenland digital elevation model derived from ICESat-2 during 2018–2019
title_fullStr A new Greenland digital elevation model derived from ICESat-2 during 2018–2019
title_full_unstemmed A new Greenland digital elevation model derived from ICESat-2 during 2018–2019
title_sort new greenland digital elevation model derived from icesat-2 during 2018–2019
publisher Copernicus Publications
publishDate 2022
url https://doi.org/10.5194/essd-14-781-2022
https://essd.copernicus.org/articles/14/781/2022/essd-14-781-2022.pdf
https://doaj.org/article/e0250565defe4909b685d47e0cd78e98
geographic Greenland
geographic_facet Greenland
genre Airborne Topographic Mapper
Greenland
Ice Sheet
genre_facet Airborne Topographic Mapper
Greenland
Ice Sheet
op_source Earth System Science Data, Vol 14, Pp 781-794 (2022)
op_relation doi:10.5194/essd-14-781-2022
1866-3508
1866-3516
https://essd.copernicus.org/articles/14/781/2022/essd-14-781-2022.pdf
https://doaj.org/article/e0250565defe4909b685d47e0cd78e98
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container_title Earth System Science Data
container_volume 14
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