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...
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Format: | Article in Journal/Newspaper |
Language: | English |
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Copernicus Publications
2023
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Online Access: | http://hdl.handle.net/10261/344545 https://doi.org/10.5194/tc-17-2779-2023 https://doi.org/10.13039/501100002830 https://doi.org/10.13039/100000104 https://doi.org/10.13039/501100011033 https://doi.org/10.13039/501100004837 |
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Open Polar |
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Digital.CSIC (Spanish National Research Council) |
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English |
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. This work has been supported by the Programme National de Télédétection Spatiale (PNTS; grant no. PNTS-2018-4), by the Centre National d’Études Spatiales (CNES), and by the Spanish Ministry of Science and Innovation (MARGISNOW project, grant no. PID2021-124220OB-100; HIDROIBERNIEVE project, grant no. CGL2017-82216K). Ambroise Guiot was supported by Météo-France during the internship which laid the groundwork for this article. David Shean was supported by NASA (award no. 80NSSC20K0995). Hannah Besso was supported by NASA (award no. 80NSSC20K1293). Peer reviewed |
author2 |
Centre National D'Etudes Spatiales (France) Ministerio de Ciencia e Innovación (España) Agencia Estatal de Investigación (España) National Aeronautics and Space Administration (US) Ministerio de Ciencia, Innovación y Universidades (España) |
format |
Article in Journal/Newspaper |
author |
Deschamps-Berger, César Gascoin, Simon Shean, David Besso, Hannah Guiot, Ambroise López-Moreno, Juan I. |
spellingShingle |
Deschamps-Berger, César Gascoin, Simon Shean, David Besso, Hannah Guiot, Ambroise López-Moreno, Juan I. Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data |
author_facet |
Deschamps-Berger, César Gascoin, Simon Shean, David Besso, Hannah Guiot, Ambroise López-Moreno, Juan I. |
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 |
http://hdl.handle.net/10261/344545 https://doi.org/10.5194/tc-17-2779-2023 https://doi.org/10.13039/501100002830 https://doi.org/10.13039/100000104 https://doi.org/10.13039/501100011033 https://doi.org/10.13039/501100004837 |
long_lat |
ENVELOPE(-60.613,-60.613,-62.654,-62.654) |
geographic |
Hannah |
geographic_facet |
Hannah |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_relation |
#PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124220OB-I00/ES/PRESENTE Y FUTURO DE LOS MANTOS DE NIEVE MARGINALES Y SU INFLUENCIA HIDROLOGICA Y AMBIENTAL/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/CGL2017-82216K Publisher's version Deschamps-Berger, César; Gascoin, Simon; Shean, David; Besso, Hannah; Guiot, Ambroise; López-Moreno, Juan I.; 2023; Supplement of Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data [Dataset]; EGU; https://doi.org/10.5194/tc-17-2779-2023-supplement http://dx.doi.org/10.5194/tc-17-2779-2023 Sí The Cryosphere 17(7): 2779-2792 (2023) http://hdl.handle.net/10261/344545 doi:10.5194/tc-17-2779-2023 1994-0424 http://dx.doi.org/10.13039/501100002830 http://dx.doi.org/10.13039/100000104 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100004837 |
op_rights |
open |
op_doi |
https://doi.org/10.5194/tc-17-2779-202310.13039/50110000283010.13039/10000010410.13039/50110001103310.13039/50110000483710.5194/tc-17-2779-2023-supplement |
_version_ |
1802650679386308608 |
spelling |
ftcsic:oai:digital.csic.es:10261/344545 2024-06-23T07:57:10+00:00 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 I. Centre National D'Etudes Spatiales (France) Ministerio de Ciencia e Innovación (España) Agencia Estatal de Investigación (España) National Aeronautics and Space Administration (US) Ministerio de Ciencia, Innovación y Universidades (España) 2023-07-13 application/pdf http://hdl.handle.net/10261/344545 https://doi.org/10.5194/tc-17-2779-2023 https://doi.org/10.13039/501100002830 https://doi.org/10.13039/100000104 https://doi.org/10.13039/501100011033 https://doi.org/10.13039/501100004837 en eng Copernicus Publications European Geosciences Union #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124220OB-I00/ES/PRESENTE Y FUTURO DE LOS MANTOS DE NIEVE MARGINALES Y SU INFLUENCIA HIDROLOGICA Y AMBIENTAL/ info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/CGL2017-82216K Publisher's version Deschamps-Berger, César; Gascoin, Simon; Shean, David; Besso, Hannah; Guiot, Ambroise; López-Moreno, Juan I.; 2023; Supplement of Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data [Dataset]; EGU; https://doi.org/10.5194/tc-17-2779-2023-supplement http://dx.doi.org/10.5194/tc-17-2779-2023 Sí The Cryosphere 17(7): 2779-2792 (2023) http://hdl.handle.net/10261/344545 doi:10.5194/tc-17-2779-2023 1994-0424 http://dx.doi.org/10.13039/501100002830 http://dx.doi.org/10.13039/100000104 http://dx.doi.org/10.13039/501100011033 http://dx.doi.org/10.13039/501100004837 open artículo http://purl.org/coar/resource_type/c_6501 2023 ftcsic https://doi.org/10.5194/tc-17-2779-202310.13039/50110000283010.13039/10000010410.13039/50110001103310.13039/50110000483710.5194/tc-17-2779-2023-supplement 2024-05-29T00:06:20Z 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. This work has been supported by the Programme National de Télédétection Spatiale (PNTS; grant no. PNTS-2018-4), by the Centre National d’Études Spatiales (CNES), and by the Spanish Ministry of Science and Innovation (MARGISNOW project, grant no. PID2021-124220OB-100; HIDROIBERNIEVE project, grant no. CGL2017-82216K). Ambroise Guiot was supported by Météo-France during the internship which laid the groundwork for this article. David Shean was supported by NASA (award no. 80NSSC20K0995). Hannah Besso was supported by NASA (award no. 80NSSC20K1293). Peer reviewed Article in Journal/Newspaper The Cryosphere Digital.CSIC (Spanish National Research Council) Hannah ENVELOPE(-60.613,-60.613,-62.654,-62.654) |