Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets
Palaeo-glacial landforms can give insights into bed roughness that currently cannot be captured underneath contemporary-ice streams. A few studies have measured bed roughness of palaeo-ice streams but the bed roughness of specific landform assemblages has not been assessed. If glacial landform assem...
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Format: | Article |
Language: | English |
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Cambridge University Press
2022-06-01
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Series: | Journal of Glaciology |
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Online Access: | https://www.cambridge.org/core/product/identifier/S0022143021001222/type/journal_article |
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author | Francesca A. M. Falcini Maarten Krabbendam Katherine A. Selby David M. Rippin |
author_facet | Francesca A. M. Falcini Maarten Krabbendam Katherine A. Selby David M. Rippin |
author_sort | Francesca A. M. Falcini |
collection | DOAJ |
description | Palaeo-glacial landforms can give insights into bed roughness that currently cannot be captured underneath contemporary-ice streams. A few studies have measured bed roughness of palaeo-ice streams but the bed roughness of specific landform assemblages has not been assessed. If glacial landform assemblages have a characteristic bed-roughness signature, this could potentially be used to constrain where certain landform assemblages exist underneath contemporary-ice sheets. To test this, bed roughness was calculated along 5 m × 5 m resolution transects (NEXTMap DTM, 5 m resolution), which were placed over glacial landform assemblages (e.g. drumlins) in the UK. We find that a combination of total roughness and anisotropy of roughness can be used to define characteristic roughness signatures of glacial landform assemblages. The results show that different window sizes are required to determine the characteristic roughness for a wide range of landform types and to produce bed-roughness signatures of these. Mega scale glacial lineations on average have the lowest bed-roughness values and are the most anisotropic landform assemblage. |
first_indexed | 2024-04-10T04:39:14Z |
format | Article |
id | doaj.art-0767e099e34c4af58b3a26c885f4d0de |
institution | Directory Open Access Journal |
issn | 0022-1430 1727-5652 |
language | English |
last_indexed | 2024-04-10T04:39:14Z |
publishDate | 2022-06-01 |
publisher | Cambridge University Press |
record_format | Article |
series | Journal of Glaciology |
spelling | doaj.art-0767e099e34c4af58b3a26c885f4d0de2023-03-09T12:41:16ZengCambridge University PressJournal of Glaciology0022-14301727-56522022-06-016851853210.1017/jog.2021.122Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheetsFrancesca A. M. Falcini0https://orcid.org/0000-0001-8619-2637Maarten Krabbendam1Katherine A. Selby2David M. Rippin3https://orcid.org/0000-0001-7757-9880Department of Environment and Geography, Wentworth Way, University of York, York, UKBritish Geological Survey, The Lyell Centre, Research Avenue South, Edinburgh, UKDepartment of Environment and Geography, Wentworth Way, University of York, York, UKDepartment of Environment and Geography, Wentworth Way, University of York, York, UKPalaeo-glacial landforms can give insights into bed roughness that currently cannot be captured underneath contemporary-ice streams. A few studies have measured bed roughness of palaeo-ice streams but the bed roughness of specific landform assemblages has not been assessed. If glacial landform assemblages have a characteristic bed-roughness signature, this could potentially be used to constrain where certain landform assemblages exist underneath contemporary-ice sheets. To test this, bed roughness was calculated along 5 m × 5 m resolution transects (NEXTMap DTM, 5 m resolution), which were placed over glacial landform assemblages (e.g. drumlins) in the UK. We find that a combination of total roughness and anisotropy of roughness can be used to define characteristic roughness signatures of glacial landform assemblages. The results show that different window sizes are required to determine the characteristic roughness for a wide range of landform types and to produce bed-roughness signatures of these. Mega scale glacial lineations on average have the lowest bed-roughness values and are the most anisotropic landform assemblage.https://www.cambridge.org/core/product/identifier/S0022143021001222/type/journal_articleDrumlinsglacial geomorphologyremote sensing |
spellingShingle | Francesca A. M. Falcini Maarten Krabbendam Katherine A. Selby David M. Rippin Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets Journal of Glaciology Drumlins glacial geomorphology remote sensing |
title | Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets |
title_full | Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets |
title_fullStr | Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets |
title_full_unstemmed | Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets |
title_short | Using bed-roughness signatures to characterise glacial landform assemblages beneath palaeo-ice sheets |
title_sort | using bed roughness signatures to characterise glacial landform assemblages beneath palaeo ice sheets |
topic | Drumlins glacial geomorphology remote sensing |
url | https://www.cambridge.org/core/product/identifier/S0022143021001222/type/journal_article |
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