Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data
International audience Accurate knowledge of snow depth distributions in mountain catchments is critical for applications in hy-drology and ecology. Recently, a method was proposed to map snow depth at meter-scale resolution from very-high-resolution stereo satellite imagery (e.g., Pléiades) with an...
Published in: | The Cryosphere |
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Main Authors: | , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2020
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Subjects: | |
Online Access: | https://hal.inrae.fr/hal-02965637 https://hal.inrae.fr/hal-02965637/document https://hal.inrae.fr/hal-02965637/file/2020_deschamps-berger_cryosphere.pdf https://doi.org/10.5194/tc-14-2925-2020 |
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Open Polar |
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Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
[SDV]Life Sciences [q-bio] |
spellingShingle |
[SDV]Life Sciences [q-bio] Deschamps-Berger, César Gascoin, Simon Berthier, Etienne Deems, Jeffrey Gutmann, Ethan Dehecq, Amaury Shean, David Dumont, Marie Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data |
topic_facet |
[SDV]Life Sciences [q-bio] |
description |
International audience Accurate knowledge of snow depth distributions in mountain catchments is critical for applications in hy-drology and ecology. Recently, a method was proposed to map snow depth at meter-scale resolution from very-high-resolution stereo satellite imagery (e.g., Pléiades) with an accuracy close to 0.5 m. However, the validation was limited to probe measurements and unmanned aircraft vehicle (UAV) photogrammetry, which sampled a limited fraction of the to-pographic and snow depth variability. We improve upon this evaluation using accurate maps of the snow depth derived from Airborne Snow Observatory laser-scanning measurements in the Tuolumne river basin, USA. We find a good agreement between both datasets over a snow-covered area of 138 km 2 on a 3 m grid, with a positive bias for a Pléiades snow depth of 0.08 m, a root mean square error of 0.80 m and a normalized median absolute deviation (NMAD) of 0.69 m. Satellite data capture the relationship between snow depth and elevation at the catchment scale and also small-scale features like snow drifts and avalanche deposits at a typical scale of tens of meters. The random error at the pixel level is lower in snow-free areas than in snow-covered areas, but it is reduced by a factor of 2 (NMAD of approximately 0.40 m for snow depth) when averaged to a 36 m grid. We conclude that satellite photogrammetry stands out as a convenient method to estimate the spatial distribution of snow depth in high mountain catchments. |
author2 |
Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-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 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) Météo-France Direction Interrégionale Sud-Est (DIRSE) Météo-France Université Grenoble Alpes (UGA) Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-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 de Recherche pour le Développement (IRD)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS) National Snow and Ice Data Center (NSIDC) University of Colorado Boulder National Center for Atmospheric Research Boulder (NCAR) Laboratory of Hydraulics, Hydrology and Glaciology Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology Zürich (ETH Zürich) Swiss Federal Institute for Forest, Snow and Landscape Research WSL University of Washington Seattle CNES Tosca Programme National de Teledetection Spatiale (PNTS) : PNTS-2018-4 National Science Foundation (NSF) : 1852977 US Bureau of Reclamation Science and Technology Program |
format |
Article in Journal/Newspaper |
author |
Deschamps-Berger, César Gascoin, Simon Berthier, Etienne Deems, Jeffrey Gutmann, Ethan Dehecq, Amaury Shean, David Dumont, Marie |
author_facet |
Deschamps-Berger, César Gascoin, Simon Berthier, Etienne Deems, Jeffrey Gutmann, Ethan Dehecq, Amaury Shean, David Dumont, Marie |
author_sort |
Deschamps-Berger, César |
title |
Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data |
title_short |
Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data |
title_full |
Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data |
title_fullStr |
Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data |
title_full_unstemmed |
Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data |
title_sort |
snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data |
publisher |
HAL CCSD |
publishDate |
2020 |
url |
https://hal.inrae.fr/hal-02965637 https://hal.inrae.fr/hal-02965637/document https://hal.inrae.fr/hal-02965637/file/2020_deschamps-berger_cryosphere.pdf https://doi.org/10.5194/tc-14-2925-2020 |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.inrae.fr/hal-02965637 The Cryosphere, 2020, 14 (9), pp.2925-2940. ⟨10.5194/tc-14-2925-2020⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-14-2925-2020 hal-02965637 https://hal.inrae.fr/hal-02965637 https://hal.inrae.fr/hal-02965637/document https://hal.inrae.fr/hal-02965637/file/2020_deschamps-berger_cryosphere.pdf doi:10.5194/tc-14-2925-2020 WOS: 000571465800001 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-14-2925-2020 |
container_title |
The Cryosphere |
container_volume |
14 |
container_issue |
9 |
container_start_page |
2925 |
op_container_end_page |
2940 |
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1766216229339529216 |
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ftunivnantes:oai:HAL:hal-02965637v1 2023-05-15T18:32:10+02:00 Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data Deschamps-Berger, César Gascoin, Simon Berthier, Etienne Deems, Jeffrey Gutmann, Ethan Dehecq, Amaury Shean, David Dumont, Marie Centre d'études spatiales de la biosphère (CESBIO) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-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 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) Météo-France Direction Interrégionale Sud-Est (DIRSE) Météo-France Université Grenoble Alpes (UGA) Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-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 de Recherche pour le Développement (IRD)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS) National Snow and Ice Data Center (NSIDC) University of Colorado Boulder National Center for Atmospheric Research Boulder (NCAR) Laboratory of Hydraulics, Hydrology and Glaciology Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology Zürich (ETH Zürich) Swiss Federal Institute for Forest, Snow and Landscape Research WSL University of Washington Seattle CNES Tosca Programme National de Teledetection Spatiale (PNTS) : PNTS-2018-4 National Science Foundation (NSF) : 1852977 US Bureau of Reclamation Science and Technology Program 2020 https://hal.inrae.fr/hal-02965637 https://hal.inrae.fr/hal-02965637/document https://hal.inrae.fr/hal-02965637/file/2020_deschamps-berger_cryosphere.pdf https://doi.org/10.5194/tc-14-2925-2020 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-14-2925-2020 hal-02965637 https://hal.inrae.fr/hal-02965637 https://hal.inrae.fr/hal-02965637/document https://hal.inrae.fr/hal-02965637/file/2020_deschamps-berger_cryosphere.pdf doi:10.5194/tc-14-2925-2020 WOS: 000571465800001 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.inrae.fr/hal-02965637 The Cryosphere, 2020, 14 (9), pp.2925-2940. ⟨10.5194/tc-14-2925-2020⟩ [SDV]Life Sciences [q-bio] info:eu-repo/semantics/article Journal articles 2020 ftunivnantes https://doi.org/10.5194/tc-14-2925-2020 2023-02-22T04:39:07Z International audience Accurate knowledge of snow depth distributions in mountain catchments is critical for applications in hy-drology and ecology. Recently, a method was proposed to map snow depth at meter-scale resolution from very-high-resolution stereo satellite imagery (e.g., Pléiades) with an accuracy close to 0.5 m. However, the validation was limited to probe measurements and unmanned aircraft vehicle (UAV) photogrammetry, which sampled a limited fraction of the to-pographic and snow depth variability. We improve upon this evaluation using accurate maps of the snow depth derived from Airborne Snow Observatory laser-scanning measurements in the Tuolumne river basin, USA. We find a good agreement between both datasets over a snow-covered area of 138 km 2 on a 3 m grid, with a positive bias for a Pléiades snow depth of 0.08 m, a root mean square error of 0.80 m and a normalized median absolute deviation (NMAD) of 0.69 m. Satellite data capture the relationship between snow depth and elevation at the catchment scale and also small-scale features like snow drifts and avalanche deposits at a typical scale of tens of meters. The random error at the pixel level is lower in snow-free areas than in snow-covered areas, but it is reduced by a factor of 2 (NMAD of approximately 0.40 m for snow depth) when averaged to a 36 m grid. We conclude that satellite photogrammetry stands out as a convenient method to estimate the spatial distribution of snow depth in high mountain catchments. Article in Journal/Newspaper The Cryosphere Université de Nantes: HAL-UNIV-NANTES The Cryosphere 14 9 2925 2940 |