Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery
<jats:title>Abstract</jats:title><jats:p>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...
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ftunivcam:oai:www.repository.cam.ac.uk:1810/329873 2024-01-14T10:02:11+01:00 Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery Dell, RL Banwell, AF Willis, IC Arnold, NS Halberstadt, ARW Chudley, TR Pritchard, HD 2022 application/pdf https://www.repository.cam.ac.uk/handle/1810/329873 https://doi.org/10.17863/CAM.77318 eng eng Cambridge University Press (CUP) http://dx.doi.org/10.1017/jog.2021.114 Journal of Glaciology https://doi.org/10.17863/CAM.77156 https://www.repository.cam.ac.uk/handle/1810/329873 doi:10.17863/CAM.77318 All rights reserved http://www.rioxx.net/licenses/all-rights-reserved Ice shelves surface-melt remote sensing Article 2022 ftunivcam https://doi.org/10.17863/CAM.7731810.17863/CAM.77156 2023-12-21T23:26:48Z <jats:title>Abstract</jats:title><jats:p>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 <jats:italic>k</jats:italic>-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.</jats:p> Rebecca L. Dell was funded by a Natural Environment Research Council (NERC) Doctoral Training Partnership Studentship (CASE with the British Antarctic Survey, grant no. NE/L002507/1). Alison F. Banwell received support from the U.S. National Science Foundation (NSF) under award no. 1841607 to the University of Colorado Boulder. Ian Willis was supported by the UK Natural Environment Research Council under NE/T006234/1 awarded to the University of Cambridge Article in Journal/Newspaper Antarc* Antarctic British Antarctic Survey Ice Shelf Ice Shelves Apollo - University of Cambridge Repository Antarctic Roi Baudouin ENVELOPE(24.461,24.461,-70.438,-70.438) Willis ENVELOPE(159.450,159.450,-79.367,-79.367) |
institution |
Open Polar |
collection |
Apollo - University of Cambridge Repository |
op_collection_id |
ftunivcam |
language |
English |
topic |
Ice shelves surface-melt remote sensing |
spellingShingle |
Ice shelves surface-melt remote sensing Dell, RL Banwell, AF Willis, IC Arnold, NS Halberstadt, ARW Chudley, TR Pritchard, HD Supervised classification of slush and ponded water on Antarctic ice shelves using Landsat 8 imagery |
topic_facet |
Ice shelves surface-melt remote sensing |
description |
<jats:title>Abstract</jats:title><jats:p>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 <jats:italic>k</jats:italic>-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.</jats:p> Rebecca L. Dell was funded by a Natural Environment Research Council (NERC) Doctoral Training Partnership Studentship (CASE with the British Antarctic Survey, grant no. NE/L002507/1). Alison F. Banwell received support from the U.S. National Science Foundation (NSF) under award no. 1841607 to the University of Colorado Boulder. Ian Willis was supported by the UK Natural Environment Research Council under NE/T006234/1 awarded to the University of Cambridge |
format |
Article in Journal/Newspaper |
author |
Dell, RL Banwell, AF Willis, IC Arnold, NS Halberstadt, ARW Chudley, TR Pritchard, HD |
author_facet |
Dell, RL Banwell, AF Willis, IC Arnold, NS Halberstadt, ARW Chudley, TR Pritchard, HD |
author_sort |
Dell, RL |
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 (CUP) |
publishDate |
2022 |
url |
https://www.repository.cam.ac.uk/handle/1810/329873 https://doi.org/10.17863/CAM.77318 |
long_lat |
ENVELOPE(24.461,24.461,-70.438,-70.438) ENVELOPE(159.450,159.450,-79.367,-79.367) |
geographic |
Antarctic Roi Baudouin Willis |
geographic_facet |
Antarctic Roi Baudouin Willis |
genre |
Antarc* Antarctic British Antarctic Survey Ice Shelf Ice Shelves |
genre_facet |
Antarc* Antarctic British Antarctic Survey Ice Shelf Ice Shelves |
op_relation |
https://doi.org/10.17863/CAM.77156 https://www.repository.cam.ac.uk/handle/1810/329873 doi:10.17863/CAM.77318 |
op_rights |
All rights reserved http://www.rioxx.net/licenses/all-rights-reserved |
op_doi |
https://doi.org/10.17863/CAM.7731810.17863/CAM.77156 |
_version_ |
1788057064290910208 |