Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery
Surface meltwater is becoming increasingly widespread on Antarctic ice shelves. It is stored within surface ponds and streams, or within firn pore spaces, which may saturate to form slush. Slush can reduce firn air content, increasing an ice-shelf's vulnerability to break-up. To date, no study...
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Cambridge University Press
2022
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Online Access: | https://doi.org/10.1017/jog.2021.114 https://doaj.org/article/ca21aee3c148465f9e5c0e8f79fa1d35 |
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ftdoajarticles:oai:doaj.org/article:ca21aee3c148465f9e5c0e8f79fa1d35 2023-05-15T13:49:31+02:00 Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery Rebecca L. Dell Alison F. Banwell Ian C. Willis Neil S. Arnold Anna Ruth W. Halberstadt Thomas R. Chudley Hamish D. Pritchard 2022-04-01T00:00:00Z https://doi.org/10.1017/jog.2021.114 https://doaj.org/article/ca21aee3c148465f9e5c0e8f79fa1d35 EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0022143021001143/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2021.114 0022-1430 1727-5652 https://doaj.org/article/ca21aee3c148465f9e5c0e8f79fa1d35 Journal of Glaciology, Vol 68, Pp 401-414 (2022) Ice shelves surface-melt remote sensing Environmental sciences GE1-350 Meteorology. Climatology QC851-999 article 2022 ftdoajarticles https://doi.org/10.1017/jog.2021.114 2023-03-12T01:30:54Z Surface meltwater is becoming increasingly widespread on Antarctic ice shelves. It is stored within surface ponds and streams, or within firn pore spaces, which may saturate to form slush. Slush can reduce firn air content, increasing an ice-shelf's vulnerability to break-up. To date, no study has mapped the changing extent of slush across ice shelves. Here, we use Google Earth Engine and Landsat 8 images from six ice shelves to generate training classes using a k-means clustering algorithm, which are used to train a random forest classifier to identify both slush and ponded water. Validation using expert elicitation gives accuracies of 84% and 82% for the ponded water and slush classes, respectively. Errors result from subjectivity in identifying the ponded water/slush boundary, and from inclusion of cloud and shadows. We apply our classifier to the Roi Baudouin Ice Shelf for the entire 2013–20 Landsat 8 record. On average, 64% of all surface meltwater is classified as slush and 36% as ponded water. Total meltwater areal extent is greatest between late January and mid-February. This highlights the importance of mapping slush when studying surface meltwater on ice shelves. Future research will apply the classifier across all Antarctic ice shelves. Article in Journal/Newspaper Antarc* Antarctic Ice Shelf Ice Shelves Journal of Glaciology Directory of Open Access Journals: DOAJ Articles Antarctic Roi Baudouin ENVELOPE(24.461,24.461,-70.438,-70.438) Journal of Glaciology 68 268 401 414 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Ice shelves surface-melt remote sensing Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
spellingShingle |
Ice shelves surface-melt remote sensing Environmental sciences GE1-350 Meteorology. Climatology QC851-999 Rebecca L. Dell Alison F. Banwell Ian C. Willis Neil S. Arnold Anna Ruth W. Halberstadt Thomas R. Chudley Hamish D. Pritchard Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery |
topic_facet |
Ice shelves surface-melt remote sensing Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
description |
Surface meltwater is becoming increasingly widespread on Antarctic ice shelves. It is stored within surface ponds and streams, or within firn pore spaces, which may saturate to form slush. Slush can reduce firn air content, increasing an ice-shelf's vulnerability to break-up. To date, no study has mapped the changing extent of slush across ice shelves. Here, we use Google Earth Engine and Landsat 8 images from six ice shelves to generate training classes using a k-means clustering algorithm, which are used to train a random forest classifier to identify both slush and ponded water. Validation using expert elicitation gives accuracies of 84% and 82% for the ponded water and slush classes, respectively. Errors result from subjectivity in identifying the ponded water/slush boundary, and from inclusion of cloud and shadows. We apply our classifier to the Roi Baudouin Ice Shelf for the entire 2013–20 Landsat 8 record. On average, 64% of all surface meltwater is classified as slush and 36% as ponded water. Total meltwater areal extent is greatest between late January and mid-February. This highlights the importance of mapping slush when studying surface meltwater on ice shelves. Future research will apply the classifier across all Antarctic ice shelves. |
format |
Article in Journal/Newspaper |
author |
Rebecca L. Dell Alison F. Banwell Ian C. Willis Neil S. Arnold Anna Ruth W. Halberstadt Thomas R. Chudley Hamish D. Pritchard |
author_facet |
Rebecca L. Dell Alison F. Banwell Ian C. Willis Neil S. Arnold Anna Ruth W. Halberstadt Thomas R. Chudley Hamish D. Pritchard |
author_sort |
Rebecca L. Dell |
title |
Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery |
title_short |
Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery |
title_full |
Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery |
title_fullStr |
Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery |
title_full_unstemmed |
Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery |
title_sort |
supervised classification of slush and ponded water on antarctic ice shelves using landsat 8 imagery |
publisher |
Cambridge University Press |
publishDate |
2022 |
url |
https://doi.org/10.1017/jog.2021.114 https://doaj.org/article/ca21aee3c148465f9e5c0e8f79fa1d35 |
long_lat |
ENVELOPE(24.461,24.461,-70.438,-70.438) |
geographic |
Antarctic Roi Baudouin |
geographic_facet |
Antarctic Roi Baudouin |
genre |
Antarc* Antarctic Ice Shelf Ice Shelves Journal of Glaciology |
genre_facet |
Antarc* Antarctic Ice Shelf Ice Shelves Journal of Glaciology |
op_source |
Journal of Glaciology, Vol 68, Pp 401-414 (2022) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0022143021001143/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2021.114 0022-1430 1727-5652 https://doaj.org/article/ca21aee3c148465f9e5c0e8f79fa1d35 |
op_doi |
https://doi.org/10.1017/jog.2021.114 |
container_title |
Journal of Glaciology |
container_volume |
68 |
container_issue |
268 |
container_start_page |
401 |
op_container_end_page |
414 |
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1766251464183775232 |