Using ground-based thermal imagery to estimate debris thickness over glacial ice: fieldwork considerations to improve the effectiveness
Abstract Debris-covered glaciers are an important component of the mountain cryosphere and influence the hydrological contribution of glacierized basins to downstream rivers. This study examines the potential to make estimates of debris thickness, a critical variable to calculate the sub-debris melt...
Published in: | Journal of Glaciology |
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Cambridge University Press (CUP)
2022
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Online Access: | http://dx.doi.org/10.1017/jog.2022.67 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143022000673 |
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crcambridgeupr:10.1017/jog.2022.67 2024-04-07T07:53:41+00:00 Using ground-based thermal imagery to estimate debris thickness over glacial ice: fieldwork considerations to improve the effectiveness Aubry-Wake, Caroline Lamontagne-Hallé, Pierrick Baraër, Michel McKenzie, Jeffrey M. Pomeroy, John W. Natural Sciences and Engineering Research Council of Canada Natural Sciences and Engineering Research Council of Canada Natural Sciences and Engineering Research Council of Canada Canada Foundation for Innovation Canada Research Chairs Alberta Innovates 2022 http://dx.doi.org/10.1017/jog.2022.67 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143022000673 en eng Cambridge University Press (CUP) https://creativecommons.org/licenses/by-nc-sa/4.0/ Journal of Glaciology volume 69, issue 274, page 353-369 ISSN 0022-1430 1727-5652 Earth-Surface Processes journal-article 2022 crcambridgeupr https://doi.org/10.1017/jog.2022.67 2024-03-08T00:36:34Z Abstract Debris-covered glaciers are an important component of the mountain cryosphere and influence the hydrological contribution of glacierized basins to downstream rivers. This study examines the potential to make estimates of debris thickness, a critical variable to calculate the sub-debris melt, using ground-based thermal infrared radiometry (TIR) images. Over four days in August 2019, a ground-based, time-lapse TIR digital imaging radiometer recorded sequential thermal imagery of a debris-covered region of Peyto Glacier, Canadian Rockies, in conjunction with 44 manual excavations of debris thickness ranging from 10 to 110 cm, and concurrent meteorological observations. Inferring the correlation between measured debris thickness and TIR surface temperature as a base, the effectiveness of linear and exponential regression models for debris thickness estimation from surface temperature was explored. Optimal model performance ( R 2 of 0.7, RMSE of 10.3 cm) was obtained with a linear model applied to measurements taken on clear nights just before sunrise, but strong model performances were also obtained under complete cloud cover during daytime or nighttime with an exponential model. This work presents insights into the use of surface temperature and TIR observations to estimate debris thickness and gain knowledge of the state of debris-covered glacial ice and its potential hydrological contribution. Article in Journal/Newspaper Journal of Glaciology Cambridge University Press Journal of Glaciology 1 17 |
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Open Polar |
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Cambridge University Press |
op_collection_id |
crcambridgeupr |
language |
English |
topic |
Earth-Surface Processes |
spellingShingle |
Earth-Surface Processes Aubry-Wake, Caroline Lamontagne-Hallé, Pierrick Baraër, Michel McKenzie, Jeffrey M. Pomeroy, John W. Using ground-based thermal imagery to estimate debris thickness over glacial ice: fieldwork considerations to improve the effectiveness |
topic_facet |
Earth-Surface Processes |
description |
Abstract Debris-covered glaciers are an important component of the mountain cryosphere and influence the hydrological contribution of glacierized basins to downstream rivers. This study examines the potential to make estimates of debris thickness, a critical variable to calculate the sub-debris melt, using ground-based thermal infrared radiometry (TIR) images. Over four days in August 2019, a ground-based, time-lapse TIR digital imaging radiometer recorded sequential thermal imagery of a debris-covered region of Peyto Glacier, Canadian Rockies, in conjunction with 44 manual excavations of debris thickness ranging from 10 to 110 cm, and concurrent meteorological observations. Inferring the correlation between measured debris thickness and TIR surface temperature as a base, the effectiveness of linear and exponential regression models for debris thickness estimation from surface temperature was explored. Optimal model performance ( R 2 of 0.7, RMSE of 10.3 cm) was obtained with a linear model applied to measurements taken on clear nights just before sunrise, but strong model performances were also obtained under complete cloud cover during daytime or nighttime with an exponential model. This work presents insights into the use of surface temperature and TIR observations to estimate debris thickness and gain knowledge of the state of debris-covered glacial ice and its potential hydrological contribution. |
author2 |
Natural Sciences and Engineering Research Council of Canada Natural Sciences and Engineering Research Council of Canada Natural Sciences and Engineering Research Council of Canada Canada Foundation for Innovation Canada Research Chairs Alberta Innovates |
format |
Article in Journal/Newspaper |
author |
Aubry-Wake, Caroline Lamontagne-Hallé, Pierrick Baraër, Michel McKenzie, Jeffrey M. Pomeroy, John W. |
author_facet |
Aubry-Wake, Caroline Lamontagne-Hallé, Pierrick Baraër, Michel McKenzie, Jeffrey M. Pomeroy, John W. |
author_sort |
Aubry-Wake, Caroline |
title |
Using ground-based thermal imagery to estimate debris thickness over glacial ice: fieldwork considerations to improve the effectiveness |
title_short |
Using ground-based thermal imagery to estimate debris thickness over glacial ice: fieldwork considerations to improve the effectiveness |
title_full |
Using ground-based thermal imagery to estimate debris thickness over glacial ice: fieldwork considerations to improve the effectiveness |
title_fullStr |
Using ground-based thermal imagery to estimate debris thickness over glacial ice: fieldwork considerations to improve the effectiveness |
title_full_unstemmed |
Using ground-based thermal imagery to estimate debris thickness over glacial ice: fieldwork considerations to improve the effectiveness |
title_sort |
using ground-based thermal imagery to estimate debris thickness over glacial ice: fieldwork considerations to improve the effectiveness |
publisher |
Cambridge University Press (CUP) |
publishDate |
2022 |
url |
http://dx.doi.org/10.1017/jog.2022.67 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143022000673 |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
Journal of Glaciology volume 69, issue 274, page 353-369 ISSN 0022-1430 1727-5652 |
op_rights |
https://creativecommons.org/licenses/by-nc-sa/4.0/ |
op_doi |
https://doi.org/10.1017/jog.2022.67 |
container_title |
Journal of Glaciology |
container_start_page |
1 |
op_container_end_page |
17 |
_version_ |
1795669767362707456 |