Automated detection of ice cliffs within supraglacial debris cover
Ice cliffs within a supraglacial debris cover have been identified as a source for high ablation relative to the surrounding debris-covered area. Due to their small relative size and steep orientation, ice cliffs are difficult to detect using nadir-looking space borne sensors. The method presented h...
Published in: | The Cryosphere |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Copernicus Publications
2018
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Online Access: | https://nrl.northumbria.ac.uk/id/eprint/34157/ https://doi.org/10.5194/tc-12-1811-2018 https://nrl.northumbria.ac.uk/id/eprint/34157/7/Automated%20detection.pdf https://nrl.northumbria.ac.uk/id/eprint/34157/1/HerreidPellicciotti2018.pdf |
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ftunivnorthumb:oai:nrl.northumbria.ac.uk:34157 2023-05-15T13:09:43+02:00 Automated detection of ice cliffs within supraglacial debris cover Herreid, Sam Pellicciotti, Francesca 2018-05-31 text https://nrl.northumbria.ac.uk/id/eprint/34157/ https://doi.org/10.5194/tc-12-1811-2018 https://nrl.northumbria.ac.uk/id/eprint/34157/7/Automated%20detection.pdf https://nrl.northumbria.ac.uk/id/eprint/34157/1/HerreidPellicciotti2018.pdf en eng Copernicus Publications https://nrl.northumbria.ac.uk/id/eprint/34157/7/Automated%20detection.pdf https://nrl.northumbria.ac.uk/id/eprint/34157/1/HerreidPellicciotti2018.pdf Herreid, Sam and Pellicciotti, Francesca (2018) Automated detection of ice cliffs within supraglacial debris cover. The Cryosphere, 12 (5). pp. 1811-1829. ISSN 1994-0416 cc_by_4_0 CC-BY F800 Physical and Terrestrial Geographical and Environmental Sciences Article PeerReviewed 2018 ftunivnorthumb https://doi.org/10.5194/tc-12-1811-2018 2022-09-25T06:07:10Z Ice cliffs within a supraglacial debris cover have been identified as a source for high ablation relative to the surrounding debris-covered area. Due to their small relative size and steep orientation, ice cliffs are difficult to detect using nadir-looking space borne sensors. The method presented here uses surface slopes calculated from digital elevation model (DEM) data to map ice cliff geometry and produce an ice cliff probability map. Surface slope thresholds, which can be sensitive to geographic location and/or data quality, are selected automatically. The method also attempts to include area at the (often narrowing) ends of ice cliffs which could otherwise be neglected due to signal saturation in surface slope data. The method was calibrated in the Eastern Alaska Range, Alaska, USA, against a control ice cliff dataset derived from high resolution visible and thermal data. Using the same input parameter set that performed best in Alaska, the method was tested against ice cliffs manually mapped in the Khumbu Himal, Nepal. Our results suggest the method can accommodate different glaciological settings and different DEM data sources without a data intensive (high resolution, multi-data source) re-calibration. Article in Journal/Newspaper alaska range The Cryosphere Alaska Northumbria University, Newcastle: Northumbria Research Link (NRL) The Cryosphere 12 5 1811 1829 |
institution |
Open Polar |
collection |
Northumbria University, Newcastle: Northumbria Research Link (NRL) |
op_collection_id |
ftunivnorthumb |
language |
English |
topic |
F800 Physical and Terrestrial Geographical and Environmental Sciences |
spellingShingle |
F800 Physical and Terrestrial Geographical and Environmental Sciences Herreid, Sam Pellicciotti, Francesca Automated detection of ice cliffs within supraglacial debris cover |
topic_facet |
F800 Physical and Terrestrial Geographical and Environmental Sciences |
description |
Ice cliffs within a supraglacial debris cover have been identified as a source for high ablation relative to the surrounding debris-covered area. Due to their small relative size and steep orientation, ice cliffs are difficult to detect using nadir-looking space borne sensors. The method presented here uses surface slopes calculated from digital elevation model (DEM) data to map ice cliff geometry and produce an ice cliff probability map. Surface slope thresholds, which can be sensitive to geographic location and/or data quality, are selected automatically. The method also attempts to include area at the (often narrowing) ends of ice cliffs which could otherwise be neglected due to signal saturation in surface slope data. The method was calibrated in the Eastern Alaska Range, Alaska, USA, against a control ice cliff dataset derived from high resolution visible and thermal data. Using the same input parameter set that performed best in Alaska, the method was tested against ice cliffs manually mapped in the Khumbu Himal, Nepal. Our results suggest the method can accommodate different glaciological settings and different DEM data sources without a data intensive (high resolution, multi-data source) re-calibration. |
format |
Article in Journal/Newspaper |
author |
Herreid, Sam Pellicciotti, Francesca |
author_facet |
Herreid, Sam Pellicciotti, Francesca |
author_sort |
Herreid, Sam |
title |
Automated detection of ice cliffs within supraglacial debris cover |
title_short |
Automated detection of ice cliffs within supraglacial debris cover |
title_full |
Automated detection of ice cliffs within supraglacial debris cover |
title_fullStr |
Automated detection of ice cliffs within supraglacial debris cover |
title_full_unstemmed |
Automated detection of ice cliffs within supraglacial debris cover |
title_sort |
automated detection of ice cliffs within supraglacial debris cover |
publisher |
Copernicus Publications |
publishDate |
2018 |
url |
https://nrl.northumbria.ac.uk/id/eprint/34157/ https://doi.org/10.5194/tc-12-1811-2018 https://nrl.northumbria.ac.uk/id/eprint/34157/7/Automated%20detection.pdf https://nrl.northumbria.ac.uk/id/eprint/34157/1/HerreidPellicciotti2018.pdf |
genre |
alaska range The Cryosphere Alaska |
genre_facet |
alaska range The Cryosphere Alaska |
op_relation |
https://nrl.northumbria.ac.uk/id/eprint/34157/7/Automated%20detection.pdf https://nrl.northumbria.ac.uk/id/eprint/34157/1/HerreidPellicciotti2018.pdf Herreid, Sam and Pellicciotti, Francesca (2018) Automated detection of ice cliffs within supraglacial debris cover. The Cryosphere, 12 (5). pp. 1811-1829. ISSN 1994-0416 |
op_rights |
cc_by_4_0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/tc-12-1811-2018 |
container_title |
The Cryosphere |
container_volume |
12 |
container_issue |
5 |
container_start_page |
1811 |
op_container_end_page |
1829 |
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1766195980945850368 |