Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify “Icing” Variability and Processes
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 g...
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ftmdpi:oai:mdpi.com:/2072-4292/13/10/1978/ 2023-08-20T04:04:03+02:00 Snowcover Survey over an Arctic Glacier Forefield: Contribution of Photogrammetry to Identify “Icing” Variability and Processes Éric Bernard Jean-Michel Friedt Madeleine Griselin agris 2021-05-19 application/pdf https://doi.org/10.3390/rs13101978 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs13101978 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 13; Issue 10; Pages: 1978 snowcover snow water equivalent cryosphere moraine arctic UAV-SfM spatial dynamics photogrammetry Text 2021 ftmdpi https://doi.org/10.3390/rs13101978 2023-08-01T01:45:13Z 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. When such inconsistencies ... Text Arctic ice covered areas Spitsbergen MDPI Open Access Publishing Arctic Bare Rock ENVELOPE(-45.589,-45.589,-60.704,-60.704) Remote Sensing 13 10 1978 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
snowcover snow water equivalent cryosphere moraine arctic UAV-SfM spatial dynamics photogrammetry |
spellingShingle |
snowcover snow water equivalent cryosphere moraine arctic UAV-SfM spatial dynamics photogrammetry Éric Bernard Jean-Michel Friedt Madeleine Griselin 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 |
description |
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. When such inconsistencies ... |
format |
Text |
author |
Éric Bernard Jean-Michel Friedt Madeleine Griselin |
author_facet |
Éric Bernard Jean-Michel Friedt Madeleine Griselin |
author_sort |
Éric Bernard |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/rs13101978 |
op_coverage |
agris |
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 |
Remote Sensing; Volume 13; Issue 10; Pages: 1978 |
op_relation |
https://dx.doi.org/10.3390/rs13101978 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/rs13101978 |
container_title |
Remote Sensing |
container_volume |
13 |
container_issue |
10 |
container_start_page |
1978 |
_version_ |
1774714483887833088 |