Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data
The unprecedented precision of satellite laser altimetry data from the NASA ICESat-2 mission and the increasing availability of high-resolution elevation datasets open new opportunities to measure snow depth in mountains, a critical variable for ecosystem and water resource monitoring. We retrieved...
Published in: | The Cryosphere |
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Copernicus Publications
2023
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00067724 2023-07-30T04:07:15+02:00 Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data Deschamps-Berger, César Gascoin, Simon Shean, David Besso, Hannah Guiot, Ambroise López-Moreno, Juan Ignacio 2023-07 electronic https://doi.org/10.5194/tc-17-2779-2023 https://noa.gwlb.de/receive/cop_mods_00067724 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00066169/tc-17-2779-2023.pdf https://tc.copernicus.org/articles/17/2779/2023/tc-17-2779-2023.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-17-2779-2023 https://noa.gwlb.de/receive/cop_mods_00067724 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00066169/tc-17-2779-2023.pdf https://tc.copernicus.org/articles/17/2779/2023/tc-17-2779-2023.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/tc-17-2779-2023 2023-07-16T23:19:15Z The unprecedented precision of satellite laser altimetry data from the NASA ICESat-2 mission and the increasing availability of high-resolution elevation datasets open new opportunities to measure snow depth in mountains, a critical variable for ecosystem and water resource monitoring. We retrieved snow depth over the upper Tuolumne basin (California, USA) for 3 years by differencing ICESat-2 ATL06 snow-on elevations and various snow-off digital elevation models. Snow depth derived from ATL06 data only (snow-on and snow-off) offers a poor temporal and spatial coverage, limiting its potential utility. However, using a digital terrain model from airborne lidar surveys as the snow-off elevation source yielded a snow depth accuracy of ∼ 0.2 m (bias) and precision of ∼ 1 m (random error) across the basin, with an improved precision of 0.5 m for low slopes (< 10∘), compared to eight reference airborne lidar snow depth maps. Snow depths derived from ICESat-2 ATL06 and a satellite photogrammetry digital elevation model have a larger bias and reduced precision, partly induced by increased errors in forested areas. These various combinations of repeated ICESat-2 snow surface elevation measurements with satellite or airborne products will enable tailored approaches to map snow depth and estimate water resource availability in mountainous areas with limited snow depth observations. Article in Journal/Newspaper The Cryosphere Niedersächsisches Online-Archiv NOA The Cryosphere 17 7 2779 2792 |
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article Verlagsveröffentlichung Deschamps-Berger, César Gascoin, Simon Shean, David Besso, Hannah Guiot, Ambroise López-Moreno, Juan Ignacio Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data |
topic_facet |
article Verlagsveröffentlichung |
description |
The unprecedented precision of satellite laser altimetry data from the NASA ICESat-2 mission and the increasing availability of high-resolution elevation datasets open new opportunities to measure snow depth in mountains, a critical variable for ecosystem and water resource monitoring. We retrieved snow depth over the upper Tuolumne basin (California, USA) for 3 years by differencing ICESat-2 ATL06 snow-on elevations and various snow-off digital elevation models. Snow depth derived from ATL06 data only (snow-on and snow-off) offers a poor temporal and spatial coverage, limiting its potential utility. However, using a digital terrain model from airborne lidar surveys as the snow-off elevation source yielded a snow depth accuracy of ∼ 0.2 m (bias) and precision of ∼ 1 m (random error) across the basin, with an improved precision of 0.5 m for low slopes (< 10∘), compared to eight reference airborne lidar snow depth maps. Snow depths derived from ICESat-2 ATL06 and a satellite photogrammetry digital elevation model have a larger bias and reduced precision, partly induced by increased errors in forested areas. These various combinations of repeated ICESat-2 snow surface elevation measurements with satellite or airborne products will enable tailored approaches to map snow depth and estimate water resource availability in mountainous areas with limited snow depth observations. |
format |
Article in Journal/Newspaper |
author |
Deschamps-Berger, César Gascoin, Simon Shean, David Besso, Hannah Guiot, Ambroise López-Moreno, Juan Ignacio |
author_facet |
Deschamps-Berger, César Gascoin, Simon Shean, David Besso, Hannah Guiot, Ambroise López-Moreno, Juan Ignacio |
author_sort |
Deschamps-Berger, César |
title |
Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data |
title_short |
Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data |
title_full |
Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data |
title_fullStr |
Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data |
title_full_unstemmed |
Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data |
title_sort |
evaluation of snow depth retrievals from icesat-2 using airborne laser-scanning data |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/tc-17-2779-2023 https://noa.gwlb.de/receive/cop_mods_00067724 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00066169/tc-17-2779-2023.pdf https://tc.copernicus.org/articles/17/2779/2023/tc-17-2779-2023.pdf |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-17-2779-2023 https://noa.gwlb.de/receive/cop_mods_00067724 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00066169/tc-17-2779-2023.pdf https://tc.copernicus.org/articles/17/2779/2023/tc-17-2779-2023.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.5194/tc-17-2779-2023 |
container_title |
The Cryosphere |
container_volume |
17 |
container_issue |
7 |
container_start_page |
2779 |
op_container_end_page |
2792 |
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1772820469647409152 |