A new Greenland digital elevation model derived from ICESat-2 during 2018–2019
<p>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 pro...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-02-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/14/781/2022/essd-14-781-2022.pdf |
| _version_ | 1819277597380444160 |
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| author | Y. Fan Y. Fan Y. Fan C.-Q. Ke C.-Q. Ke C.-Q. Ke X. Shen X. Shen X. Shen |
| author_facet | Y. Fan Y. Fan Y. Fan C.-Q. Ke C.-Q. Ke C.-Q. Ke X. Shen X. Shen X. Shen |
| author_sort | Y. Fan |
| collection | DOAJ |
| description | <p>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
<span class="inline-formula">5.8×10<sup>8</sup></span> 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 <span class="inline-formula">−0.48</span> 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
<a href="https://doi.org/10.11888/Geogra.tpdc.271336">https://doi.org/10.11888/Geogra.tpdc.271336</a> (Fan
et al., 2021).</p> |
| first_indexed | 2024-12-23T23:58:39Z |
| format | Article |
| id | doaj.art-e0250565defe4909b685d47e0cd78e98 |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-12-23T23:58:39Z |
| publishDate | 2022-02-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-e0250565defe4909b685d47e0cd78e982022-12-21T17:25:11ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162022-02-011478179410.5194/essd-14-781-2022A new Greenland digital elevation model derived from ICESat-2 during 2018–2019Y. Fan0Y. Fan1Y. Fan2C.-Q. Ke3C.-Q. Ke4C.-Q. Ke5X. Shen6X. Shen7X. Shen8Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, ChinaCollaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University, Nanjing, 210023, ChinaCollaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing, 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, ChinaCollaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University, Nanjing, 210023, ChinaCollaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing, 210023, ChinaJiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, 210023, ChinaCollaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing University, Nanjing, 210023, ChinaCollaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing, 210023, China<p>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 <span class="inline-formula">5.8×10<sup>8</sup></span> 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 <span class="inline-formula">−0.48</span> 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 <a href="https://doi.org/10.11888/Geogra.tpdc.271336">https://doi.org/10.11888/Geogra.tpdc.271336</a> (Fan et al., 2021).</p>https://essd.copernicus.org/articles/14/781/2022/essd-14-781-2022.pdf |
| spellingShingle | Y. Fan Y. Fan Y. Fan C.-Q. Ke C.-Q. Ke C.-Q. Ke X. Shen X. Shen X. Shen A new Greenland digital elevation model derived from ICESat-2 during 2018–2019 Earth System Science Data |
| title | 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_short | 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 |
| url | https://essd.copernicus.org/articles/14/781/2022/essd-14-781-2022.pdf |
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