Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data
International audience Abstract. 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 r...
Published in: | The Cryosphere |
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Main Authors: | , , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2023
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Online Access: | https://hal.science/hal-04171885 https://hal.science/hal-04171885/document https://hal.science/hal-04171885/file/tc-17-2779-2023.pdf https://doi.org/10.5194/tc-17-2779-2023 |
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Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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English |
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[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology |
spellingShingle |
[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology 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 |
[SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology |
description |
International audience Abstract. 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. |
author2 |
Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Instituto Pirenaico de Ecologìa = Pyrenean Institute of Ecology Zaragoza (IPE - CSIC) University of Washington Seattle 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). |
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 |
HAL CCSD |
publishDate |
2023 |
url |
https://hal.science/hal-04171885 https://hal.science/hal-04171885/document https://hal.science/hal-04171885/file/tc-17-2779-2023.pdf https://doi.org/10.5194/tc-17-2779-2023 |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-04171885 The Cryosphere, 2023, 17 (7), pp.2779-2792. ⟨10.5194/tc-17-2779-2023⟩ |
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info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-17-2779-2023 hal-04171885 https://hal.science/hal-04171885 https://hal.science/hal-04171885/document https://hal.science/hal-04171885/file/tc-17-2779-2023.pdf doi:10.5194/tc-17-2779-2023 WOS: 001028867100001 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-17-2779-2023 |
container_title |
The Cryosphere |
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17 |
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7 |
container_start_page |
2779 |
op_container_end_page |
2792 |
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1789973791695175680 |
spelling |
ftccsdartic:oai:HAL:hal-04171885v1 2024-02-04T10:04:57+01:00 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 Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Instituto Pirenaico de Ecologìa = Pyrenean Institute of Ecology Zaragoza (IPE - CSIC) University of Washington Seattle 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). 2023 https://hal.science/hal-04171885 https://hal.science/hal-04171885/document https://hal.science/hal-04171885/file/tc-17-2779-2023.pdf https://doi.org/10.5194/tc-17-2779-2023 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-17-2779-2023 hal-04171885 https://hal.science/hal-04171885 https://hal.science/hal-04171885/document https://hal.science/hal-04171885/file/tc-17-2779-2023.pdf doi:10.5194/tc-17-2779-2023 WOS: 001028867100001 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-04171885 The Cryosphere, 2023, 17 (7), pp.2779-2792. ⟨10.5194/tc-17-2779-2023⟩ [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology info:eu-repo/semantics/article Journal articles 2023 ftccsdartic https://doi.org/10.5194/tc-17-2779-2023 2024-01-06T23:29:11Z International audience Abstract. 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 Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) The Cryosphere 17 7 2779 2792 |