Thickness estimation of supraglacial debris above ice cliff exposures using a high-resolution digital surface model derived from terrestrial photography

ABSTRACT The thickness of supraglacial debris cover controls how it impacts the ablation rate of underlying glacier ice, yet this quantity remains challenging to measure, particularly at glacier scales. We present a relatively straightforward, and cost-effective method to estimate debris thickness e...

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Published in:Journal of Glaciology
Main Authors: NICHOLSON, L., MERTES, J.
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 2017
Subjects:
Online Access:http://dx.doi.org/10.1017/jog.2017.68
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143017000685
id crcambridgeupr:10.1017/jog.2017.68
record_format openpolar
spelling crcambridgeupr:10.1017/jog.2017.68 2024-03-24T09:02:59+00:00 Thickness estimation of supraglacial debris above ice cliff exposures using a high-resolution digital surface model derived from terrestrial photography NICHOLSON, L. MERTES, J. 2017 http://dx.doi.org/10.1017/jog.2017.68 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143017000685 en eng Cambridge University Press (CUP) http://creativecommons.org/licenses/by/4.0/ Journal of Glaciology volume 63, issue 242, page 989-998 ISSN 0022-1430 1727-5652 Earth-Surface Processes journal-article 2017 crcambridgeupr https://doi.org/10.1017/jog.2017.68 2024-02-26T15:35:08Z ABSTRACT The thickness of supraglacial debris cover controls how it impacts the ablation rate of underlying glacier ice, yet this quantity remains challenging to measure, particularly at glacier scales. We present a relatively straightforward, and cost-effective method to estimate debris thickness exposed above ice cliffs using simplified geometrical measurements from a high-resolution digital surface model (DSM), derived from a terrestrial photographic survey and a Structure from Motion with Multi-View Stereo workflow (SfM-MVS). As the ice surface relief beneath the debris cover is unknown, we assume it to be horizontal and provide error bounds based on characteristic ice-surface slope at the visible debris/ice interface. Debris thickness around the three sampled ice cliffs was highly variable (interquartile range of 0.80–2.85 m) and negatively skewed with a mean thickness of 2.08 ± 0.68 m. Manual, and high-frequency radar, determinations of debris thickness in the same area show similar thickness distributions, but statistically different mean debris thickness, due to local heterogeneity. Debris thickness values derived in this study all exceed estimates from satellite surface temperature inversions. Wider application of the method presented here would provide useful data for improving debris thickness approximations from satellite imagery. Article in Journal/Newspaper Journal of Glaciology Cambridge University Press Journal of Glaciology 63 242 989 998
institution Open Polar
collection Cambridge University Press
op_collection_id crcambridgeupr
language English
topic Earth-Surface Processes
spellingShingle Earth-Surface Processes
NICHOLSON, L.
MERTES, J.
Thickness estimation of supraglacial debris above ice cliff exposures using a high-resolution digital surface model derived from terrestrial photography
topic_facet Earth-Surface Processes
description ABSTRACT The thickness of supraglacial debris cover controls how it impacts the ablation rate of underlying glacier ice, yet this quantity remains challenging to measure, particularly at glacier scales. We present a relatively straightforward, and cost-effective method to estimate debris thickness exposed above ice cliffs using simplified geometrical measurements from a high-resolution digital surface model (DSM), derived from a terrestrial photographic survey and a Structure from Motion with Multi-View Stereo workflow (SfM-MVS). As the ice surface relief beneath the debris cover is unknown, we assume it to be horizontal and provide error bounds based on characteristic ice-surface slope at the visible debris/ice interface. Debris thickness around the three sampled ice cliffs was highly variable (interquartile range of 0.80–2.85 m) and negatively skewed with a mean thickness of 2.08 ± 0.68 m. Manual, and high-frequency radar, determinations of debris thickness in the same area show similar thickness distributions, but statistically different mean debris thickness, due to local heterogeneity. Debris thickness values derived in this study all exceed estimates from satellite surface temperature inversions. Wider application of the method presented here would provide useful data for improving debris thickness approximations from satellite imagery.
format Article in Journal/Newspaper
author NICHOLSON, L.
MERTES, J.
author_facet NICHOLSON, L.
MERTES, J.
author_sort NICHOLSON, L.
title Thickness estimation of supraglacial debris above ice cliff exposures using a high-resolution digital surface model derived from terrestrial photography
title_short Thickness estimation of supraglacial debris above ice cliff exposures using a high-resolution digital surface model derived from terrestrial photography
title_full Thickness estimation of supraglacial debris above ice cliff exposures using a high-resolution digital surface model derived from terrestrial photography
title_fullStr Thickness estimation of supraglacial debris above ice cliff exposures using a high-resolution digital surface model derived from terrestrial photography
title_full_unstemmed Thickness estimation of supraglacial debris above ice cliff exposures using a high-resolution digital surface model derived from terrestrial photography
title_sort thickness estimation of supraglacial debris above ice cliff exposures using a high-resolution digital surface model derived from terrestrial photography
publisher Cambridge University Press (CUP)
publishDate 2017
url http://dx.doi.org/10.1017/jog.2017.68
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022143017000685
genre Journal of Glaciology
genre_facet Journal of Glaciology
op_source Journal of Glaciology
volume 63, issue 242, page 989-998
ISSN 0022-1430 1727-5652
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1017/jog.2017.68
container_title Journal of Glaciology
container_volume 63
container_issue 242
container_start_page 989
op_container_end_page 998
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