Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify “Icing” Variability and Processes

International audience The global climate shift currently underway has significant impacts on both the quality and quantity of snow precipitation. This directly influences the spatial variability of the snowpack as well as cumulative snow height. Contemporary glacier retreat reorganizes periglacial...

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Published in:Remote Sensing
Main Authors: Bernard, Eric, Friedt, Jean-Michel, Griselin, Madeleine
Other Authors: Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2021
Subjects:
Online Access:https://hal.science/hal-03360081
https://hal.science/hal-03360081/document
https://hal.science/hal-03360081/file/9c71a8b2-8bec-4222-bcbc-3ec6bdd36dc7-author.pdf
https://doi.org/10.3390/rs13101978
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spelling ftunifranchecom:oai:HAL:hal-03360081v1 2023-12-17T10:25:24+01:00 Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify “Icing” Variability and Processes Bernard, Eric Friedt, Jean-Michel Griselin, Madeleine Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST) Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC) Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC) 2021 https://hal.science/hal-03360081 https://hal.science/hal-03360081/document https://hal.science/hal-03360081/file/9c71a8b2-8bec-4222-bcbc-3ec6bdd36dc7-author.pdf https://doi.org/10.3390/rs13101978 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/rs13101978 hal-03360081 https://hal.science/hal-03360081 https://hal.science/hal-03360081/document https://hal.science/hal-03360081/file/9c71a8b2-8bec-4222-bcbc-3ec6bdd36dc7-author.pdf doi:10.3390/rs13101978 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2072-4292 Remote Sensing https://hal.science/hal-03360081 Remote Sensing, 2021, 13 (10), pp.1978 (18). ⟨10.3390/rs13101978⟩ [SPI.OTHER]Engineering Sciences [physics]/Other info:eu-repo/semantics/article Journal articles 2021 ftunifranchecom https://doi.org/10.3390/rs13101978 2023-11-21T23:31:07Z International audience The global climate shift currently underway has significant impacts on both the quality and quantity of snow precipitation. This directly influences the spatial variability of the snowpack as well as cumulative snow height. Contemporary glacier retreat reorganizes periglacial morphology: while the glacier area decreases, the moraine area increases. The latter is becoming a new water storage potential that is almost as important as the glacier itself, but with considerably more complex topography. Hence, this work fills one of the missing variables of the hydrological budget equation of an arctic glacier basin by providing an estimate of the snow water equivalent (SWE) of the moraine contribution. Such a result is achieved by investigating Structure from Motion (SfM) image processing that is applied to pictures collected from an Unmanned Aerial Vehicle (UAV) as a method for producing snow depth maps over the proglacial moraine area. Several UAV campaigns were carried out on a small glacial basin in Spitsbergen (Arctic): the measurements were made at the maximum snow accumulation season (late April), while the reference topography maps were acquired at the end of the hydrological year (late September) when the moraine is mostly free of snow. The snow depth is determined from Digital Surface Model (DSM) subtraction. Utilizing dedicated and natural ground control points for relative positioning of the DSMs, the relative DSM georeferencing with sub-meter accuracy removes the main source of uncertainty when assessing snow depth. For areas where snow is deposited on bare rock surfaces, the correlation between avalanche probe in-situ snow depth measurements and DSM differences is excellent. Differences in ice covered areas between the two measurement techniques are attributed to the different quantities measured: while the former only measures snow accumulation, the latter includes all of the ice accumulation during winter through which the probe cannot penetrate, in addition to the snow cover. ... Article in Journal/Newspaper Arctic ice covered areas Spitsbergen Université de Franche-Comté (UFC): HAL Arctic Bare Rock ENVELOPE(-45.589,-45.589,-60.704,-60.704) Remote Sensing 13 10 1978
institution Open Polar
collection Université de Franche-Comté (UFC): HAL
op_collection_id ftunifranchecom
language English
topic [SPI.OTHER]Engineering Sciences [physics]/Other
spellingShingle [SPI.OTHER]Engineering Sciences [physics]/Other
Bernard, Eric
Friedt, Jean-Michel
Griselin, Madeleine
Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify “Icing” Variability and Processes
topic_facet [SPI.OTHER]Engineering Sciences [physics]/Other
description International audience The global climate shift currently underway has significant impacts on both the quality and quantity of snow precipitation. This directly influences the spatial variability of the snowpack as well as cumulative snow height. Contemporary glacier retreat reorganizes periglacial morphology: while the glacier area decreases, the moraine area increases. The latter is becoming a new water storage potential that is almost as important as the glacier itself, but with considerably more complex topography. Hence, this work fills one of the missing variables of the hydrological budget equation of an arctic glacier basin by providing an estimate of the snow water equivalent (SWE) of the moraine contribution. Such a result is achieved by investigating Structure from Motion (SfM) image processing that is applied to pictures collected from an Unmanned Aerial Vehicle (UAV) as a method for producing snow depth maps over the proglacial moraine area. Several UAV campaigns were carried out on a small glacial basin in Spitsbergen (Arctic): the measurements were made at the maximum snow accumulation season (late April), while the reference topography maps were acquired at the end of the hydrological year (late September) when the moraine is mostly free of snow. The snow depth is determined from Digital Surface Model (DSM) subtraction. Utilizing dedicated and natural ground control points for relative positioning of the DSMs, the relative DSM georeferencing with sub-meter accuracy removes the main source of uncertainty when assessing snow depth. For areas where snow is deposited on bare rock surfaces, the correlation between avalanche probe in-situ snow depth measurements and DSM differences is excellent. Differences in ice covered areas between the two measurement techniques are attributed to the different quantities measured: while the former only measures snow accumulation, the latter includes all of the ice accumulation during winter through which the probe cannot penetrate, in addition to the snow cover. ...
author2 Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST)
Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC)
Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC)
format Article in Journal/Newspaper
author Bernard, Eric
Friedt, Jean-Michel
Griselin, Madeleine
author_facet Bernard, Eric
Friedt, Jean-Michel
Griselin, Madeleine
author_sort Bernard, Eric
title Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify “Icing” Variability and Processes
title_short Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify “Icing” Variability and Processes
title_full Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify “Icing” Variability and Processes
title_fullStr Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify “Icing” Variability and Processes
title_full_unstemmed Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify “Icing” Variability and Processes
title_sort snowcover survey over an arctic glacier forefield: contribution of photogrammetry to identify “icing” variability and processes
publisher HAL CCSD
publishDate 2021
url https://hal.science/hal-03360081
https://hal.science/hal-03360081/document
https://hal.science/hal-03360081/file/9c71a8b2-8bec-4222-bcbc-3ec6bdd36dc7-author.pdf
https://doi.org/10.3390/rs13101978
long_lat ENVELOPE(-45.589,-45.589,-60.704,-60.704)
geographic Arctic
Bare Rock
geographic_facet Arctic
Bare Rock
genre Arctic
ice covered areas
Spitsbergen
genre_facet Arctic
ice covered areas
Spitsbergen
op_source ISSN: 2072-4292
Remote Sensing
https://hal.science/hal-03360081
Remote Sensing, 2021, 13 (10), pp.1978 (18). ⟨10.3390/rs13101978⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.3390/rs13101978
hal-03360081
https://hal.science/hal-03360081
https://hal.science/hal-03360081/document
https://hal.science/hal-03360081/file/9c71a8b2-8bec-4222-bcbc-3ec6bdd36dc7-author.pdf
doi:10.3390/rs13101978
op_rights http://creativecommons.org/licenses/by/
info:eu-repo/semantics/OpenAccess
op_doi https://doi.org/10.3390/rs13101978
container_title Remote Sensing
container_volume 13
container_issue 10
container_start_page 1978
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