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, Éric, Friedt, Jean-Michel, Griselin, Madeleine
Other Authors: Théoriser et modéliser pour aménager (UMR 6049) (ThéMA), Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC), 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)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2021
Subjects:
Online Access:https://hal.science/hal-03234752
https://hal.science/hal-03234752/document
https://hal.science/hal-03234752/file/2021_Bernard.pdf
https://doi.org/10.3390/rs13101978
id ftunivbourgogne:oai:HAL:hal-03234752v1
record_format openpolar
spelling ftunivbourgogne:oai:HAL:hal-03234752v1 2024-09-15T18:41:41+00:00 Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify “Icing” Variability and Processes Bernard, Éric Friedt, Jean-Michel Griselin, Madeleine Théoriser et modéliser pour aménager (UMR 6049) (ThéMA) Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC) Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC) 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) 2021 https://hal.science/hal-03234752 https://hal.science/hal-03234752/document https://hal.science/hal-03234752/file/2021_Bernard.pdf https://doi.org/10.3390/rs13101978 en eng HAL CCSD MDPI info:eu-repo/semantics/altIdentifier/doi/10.3390/rs13101978 hal-03234752 https://hal.science/hal-03234752 https://hal.science/hal-03234752/document https://hal.science/hal-03234752/file/2021_Bernard.pdf doi:10.3390/rs13101978 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 2072-4292 Remote Sensing https://hal.science/hal-03234752 Remote Sensing, 2021, 13 (10), pp.1978. ⟨10.3390/rs13101978⟩ snowcover snow water equivalent cryosphere moraine arctic UAV-SfM spatial dynamics photogrammetry [SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology [SDE.IE]Environmental Sciences/Environmental Engineering info:eu-repo/semantics/article Journal articles 2021 ftunivbourgogne https://doi.org/10.3390/rs13101978 2024-07-29T23:39:14Z 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 ice covered areas Spitsbergen Université de Bourgogne (UB): HAL Remote Sensing 13 10 1978
institution Open Polar
collection Université de Bourgogne (UB): HAL
op_collection_id ftunivbourgogne
language English
topic snowcover
snow water equivalent
cryosphere
moraine
arctic
UAV-SfM
spatial dynamics
photogrammetry
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
[SDE.IE]Environmental Sciences/Environmental Engineering
spellingShingle snowcover
snow water equivalent
cryosphere
moraine
arctic
UAV-SfM
spatial dynamics
photogrammetry
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
[SDE.IE]Environmental Sciences/Environmental Engineering
Bernard, Éric
Friedt, Jean-Michel
Griselin, Madeleine
Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify “Icing” Variability and Processes
topic_facet snowcover
snow water equivalent
cryosphere
moraine
arctic
UAV-SfM
spatial dynamics
photogrammetry
[SDU.STU.GL]Sciences of the Universe [physics]/Earth Sciences/Glaciology
[SDE.IE]Environmental Sciences/Environmental Engineering
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 Théoriser et modéliser pour aménager (UMR 6049) (ThéMA)
Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC)
Université Bourgogne Franche-Comté COMUE (UBFC)-Université Bourgogne Franche-Comté COMUE (UBFC)
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)
format Article in Journal/Newspaper
author Bernard, Éric
Friedt, Jean-Michel
Griselin, Madeleine
author_facet Bernard, Éric
Friedt, Jean-Michel
Griselin, Madeleine
author_sort Bernard, Éric
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-03234752
https://hal.science/hal-03234752/document
https://hal.science/hal-03234752/file/2021_Bernard.pdf
https://doi.org/10.3390/rs13101978
genre ice covered areas
Spitsbergen
genre_facet ice covered areas
Spitsbergen
op_source ISSN: 2072-4292
Remote Sensing
https://hal.science/hal-03234752
Remote Sensing, 2021, 13 (10), pp.1978. ⟨10.3390/rs13101978⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.3390/rs13101978
hal-03234752
https://hal.science/hal-03234752
https://hal.science/hal-03234752/document
https://hal.science/hal-03234752/file/2021_Bernard.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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