Mapping snow depth in open alpine terrain from stereo satellite imagery
International audience To date, there is no definitive approach to map snow depth in mountainous areas from spaceborne sensors. Here, we examine the potential of very-high-resolution (VHR) optical stereo satellites to this purpose. Two triplets of 0.70 m resolution images were acquired by the Pléiad...
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
2016
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Online Access: | https://hal.science/hal-01373099 https://hal.science/hal-01373099/document https://hal.science/hal-01373099/file/tc-10-1361-2016.pdf https://doi.org/10.5194/tc-10-1361-2016 |
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English |
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[SDE.ES]Environmental Sciences/Environment and Society [SDU]Sciences of the Universe [physics] [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
spellingShingle |
[SDE.ES]Environmental Sciences/Environment and Society [SDU]Sciences of the Universe [physics] [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment Marti, Renaud Gascoin, Simon Berthier, E. de Pinel, M. Houet, T. Laffly, D. Mapping snow depth in open alpine terrain from stereo satellite imagery |
topic_facet |
[SDE.ES]Environmental Sciences/Environment and Society [SDU]Sciences of the Universe [physics] [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
description |
International audience To date, there is no definitive approach to map snow depth in mountainous areas from spaceborne sensors. Here, we examine the potential of very-high-resolution (VHR) optical stereo satellites to this purpose. Two triplets of 0.70 m resolution images were acquired by the Pléiades satellite over an open alpine catchment (14.5 km2) under snow-free and snow-covered conditions. The open-source software Ame's Stereo Pipeline (ASP) was used to match the stereo pairs without ground control points to generate raw photogrammetric clouds and to convert them into high-resolution digital elevation models (DEMs) at 1, 2, and 4 m resolutions. The DEM differences (dDEMs) were computed after 3-D coregistration, including a correction of a −0.48 m vertical bias. The bias-corrected dDEM maps were compared to 451 snow-probe measurements. The results show a decimetric accuracy and precision in the Pléiades-derived snow depths. The median of the residuals is −0.16 m, with a standard deviation (SD) of 0.58 m at a pixel size of 2 m. We compared the 2 m Pléiades dDEM to a 2 m dDEM that was based on a winged unmanned aircraft vehicle (UAV) photogrammetric survey that was performed on the same winter date over a portion of the catchment (3.1 km2). The UAV-derived snow depth map exhibits the same patterns as the Pléiades-derived snow map, with a median of −0.11 m and a SD of 0.62 m when compared to the snow-probe measurements. The Pléiades images benefit from a very broad radiometric range (12 bits), allowing a high correlation success rate over the snow-covered areas. This study demonstrates the value of VHR stereo satellite imagery to map snow depth in remote mountainous areas even when no field data are available. |
author2 |
Laboratoire d'Ecologie Microbienne - UMR 5557 (LEM) Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL) Université de Lyon-Université de Lyon-Ecole Nationale Vétérinaire de Lyon (ENVL)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS) 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) Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) 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 de Recherche pour le Développement (IRD)-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) Géographie de l'environnement (GEODE) Université Toulouse - Jean Jaurès (UT2J) Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS) Project CRYOPYR–4500107601 ANR-11-LABX-0010,DRIIHM / IRDHEI,Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux(2011) |
format |
Article in Journal/Newspaper |
author |
Marti, Renaud Gascoin, Simon Berthier, E. de Pinel, M. Houet, T. Laffly, D. |
author_facet |
Marti, Renaud Gascoin, Simon Berthier, E. de Pinel, M. Houet, T. Laffly, D. |
author_sort |
Marti, Renaud |
title |
Mapping snow depth in open alpine terrain from stereo satellite imagery |
title_short |
Mapping snow depth in open alpine terrain from stereo satellite imagery |
title_full |
Mapping snow depth in open alpine terrain from stereo satellite imagery |
title_fullStr |
Mapping snow depth in open alpine terrain from stereo satellite imagery |
title_full_unstemmed |
Mapping snow depth in open alpine terrain from stereo satellite imagery |
title_sort |
mapping snow depth in open alpine terrain from stereo satellite imagery |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://hal.science/hal-01373099 https://hal.science/hal-01373099/document https://hal.science/hal-01373099/file/tc-10-1361-2016.pdf https://doi.org/10.5194/tc-10-1361-2016 |
genre |
The Cryosphere |
genre_facet |
The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-01373099 The Cryosphere, 2016, 10 (4), ⟨10.5194/tc-10-1361-2016⟩ http://www.the-cryosphere.net/10/1361/2016/tc-10-1361-2016.pdf |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-10-1361-2016 hal-01373099 https://hal.science/hal-01373099 https://hal.science/hal-01373099/document https://hal.science/hal-01373099/file/tc-10-1361-2016.pdf doi:10.5194/tc-10-1361-2016 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-10-1361-2016 |
container_title |
The Cryosphere |
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10 |
container_issue |
4 |
container_start_page |
1361 |
op_container_end_page |
1380 |
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1810483369318809600 |
spelling |
ftanrparis:oai:HAL:hal-01373099v1 2024-09-15T18:38:58+00:00 Mapping snow depth in open alpine terrain from stereo satellite imagery Marti, Renaud Gascoin, Simon Berthier, E. de Pinel, M. Houet, T. Laffly, D. Laboratoire d'Ecologie Microbienne - UMR 5557 (LEM) Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL) Université de Lyon-Université de Lyon-Ecole Nationale Vétérinaire de Lyon (ENVL)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS) 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) Laboratoire d'études en Géophysique et océanographie spatiales (LEGOS) 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 de Recherche pour le Développement (IRD)-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) Géographie de l'environnement (GEODE) Université Toulouse - Jean Jaurès (UT2J) Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS) Project CRYOPYR–4500107601 ANR-11-LABX-0010,DRIIHM / IRDHEI,Dispositif de recherche interdisciplinaire sur les Interactions Hommes-Milieux(2011) 2016 https://hal.science/hal-01373099 https://hal.science/hal-01373099/document https://hal.science/hal-01373099/file/tc-10-1361-2016.pdf https://doi.org/10.5194/tc-10-1361-2016 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-10-1361-2016 hal-01373099 https://hal.science/hal-01373099 https://hal.science/hal-01373099/document https://hal.science/hal-01373099/file/tc-10-1361-2016.pdf doi:10.5194/tc-10-1361-2016 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://hal.science/hal-01373099 The Cryosphere, 2016, 10 (4), ⟨10.5194/tc-10-1361-2016⟩ http://www.the-cryosphere.net/10/1361/2016/tc-10-1361-2016.pdf [SDE.ES]Environmental Sciences/Environment and Society [SDU]Sciences of the Universe [physics] [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment info:eu-repo/semantics/article Journal articles 2016 ftanrparis https://doi.org/10.5194/tc-10-1361-2016 2024-07-12T11:06:16Z International audience To date, there is no definitive approach to map snow depth in mountainous areas from spaceborne sensors. Here, we examine the potential of very-high-resolution (VHR) optical stereo satellites to this purpose. Two triplets of 0.70 m resolution images were acquired by the Pléiades satellite over an open alpine catchment (14.5 km2) under snow-free and snow-covered conditions. The open-source software Ame's Stereo Pipeline (ASP) was used to match the stereo pairs without ground control points to generate raw photogrammetric clouds and to convert them into high-resolution digital elevation models (DEMs) at 1, 2, and 4 m resolutions. The DEM differences (dDEMs) were computed after 3-D coregistration, including a correction of a −0.48 m vertical bias. The bias-corrected dDEM maps were compared to 451 snow-probe measurements. The results show a decimetric accuracy and precision in the Pléiades-derived snow depths. The median of the residuals is −0.16 m, with a standard deviation (SD) of 0.58 m at a pixel size of 2 m. We compared the 2 m Pléiades dDEM to a 2 m dDEM that was based on a winged unmanned aircraft vehicle (UAV) photogrammetric survey that was performed on the same winter date over a portion of the catchment (3.1 km2). The UAV-derived snow depth map exhibits the same patterns as the Pléiades-derived snow map, with a median of −0.11 m and a SD of 0.62 m when compared to the snow-probe measurements. The Pléiades images benefit from a very broad radiometric range (12 bits), allowing a high correlation success rate over the snow-covered areas. This study demonstrates the value of VHR stereo satellite imagery to map snow depth in remote mountainous areas even when no field data are available. Article in Journal/Newspaper The Cryosphere Portail HAL-ANR (Agence Nationale de la Recherche) The Cryosphere 10 4 1361 1380 |