Mapping Antarctic Crevasses at High Spatiotemporal Resolution with Deep Learning applied to Synthetic Apertur Radar Data
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2023
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Online Access: | https://hdl.handle.net/1983/b26329d4-2714-4fd1-b561-553bde0a7edd https://research-information.bris.ac.uk/en/publications/b26329d4-2714-4fd1-b561-553bde0a7edd https://doi.org/10.5194/egusphere-egu23-14207 |
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ftubristolcris:oai:research-information.bris.ac.uk:publications/b26329d4-2714-4fd1-b561-553bde0a7edd 2023-07-30T03:59:13+02:00 Mapping Antarctic Crevasses at High Spatiotemporal Resolution with Deep Learning applied to Synthetic Apertur Radar Data Surawy-Stepney, Trystan Hogg, Anna E. Cornford, Stephen L. Hogg, David 2023-05-15 https://hdl.handle.net/1983/b26329d4-2714-4fd1-b561-553bde0a7edd https://research-information.bris.ac.uk/en/publications/b26329d4-2714-4fd1-b561-553bde0a7edd https://doi.org/10.5194/egusphere-egu23-14207 und unknown info:eu-repo/semantics/restrictedAccess Surawy-Stepney , T , Hogg , A E , Cornford , S L & Hogg , D 2023 , Mapping Antarctic Crevasses at High Spatiotemporal Resolution with Deep Learning applied to Synthetic Apertur Radar Data . . https://doi.org/10.5194/egusphere-egu23-14207 other 2023 ftubristolcris https://doi.org/10.5194/egusphere-egu23-14207 2023-07-20T22:35:37Z Other/Unknown Material Antarc* Antarctic University of Bristol: Bristol Research Antarctic |
institution |
Open Polar |
collection |
University of Bristol: Bristol Research |
op_collection_id |
ftubristolcris |
language |
unknown |
format |
Other/Unknown Material |
author |
Surawy-Stepney, Trystan Hogg, Anna E. Cornford, Stephen L. Hogg, David |
spellingShingle |
Surawy-Stepney, Trystan Hogg, Anna E. Cornford, Stephen L. Hogg, David Mapping Antarctic Crevasses at High Spatiotemporal Resolution with Deep Learning applied to Synthetic Apertur Radar Data |
author_facet |
Surawy-Stepney, Trystan Hogg, Anna E. Cornford, Stephen L. Hogg, David |
author_sort |
Surawy-Stepney, Trystan |
title |
Mapping Antarctic Crevasses at High Spatiotemporal Resolution with Deep Learning applied to Synthetic Apertur Radar Data |
title_short |
Mapping Antarctic Crevasses at High Spatiotemporal Resolution with Deep Learning applied to Synthetic Apertur Radar Data |
title_full |
Mapping Antarctic Crevasses at High Spatiotemporal Resolution with Deep Learning applied to Synthetic Apertur Radar Data |
title_fullStr |
Mapping Antarctic Crevasses at High Spatiotemporal Resolution with Deep Learning applied to Synthetic Apertur Radar Data |
title_full_unstemmed |
Mapping Antarctic Crevasses at High Spatiotemporal Resolution with Deep Learning applied to Synthetic Apertur Radar Data |
title_sort |
mapping antarctic crevasses at high spatiotemporal resolution with deep learning applied to synthetic apertur radar data |
publishDate |
2023 |
url |
https://hdl.handle.net/1983/b26329d4-2714-4fd1-b561-553bde0a7edd https://research-information.bris.ac.uk/en/publications/b26329d4-2714-4fd1-b561-553bde0a7edd https://doi.org/10.5194/egusphere-egu23-14207 |
geographic |
Antarctic |
geographic_facet |
Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Surawy-Stepney , T , Hogg , A E , Cornford , S L & Hogg , D 2023 , Mapping Antarctic Crevasses at High Spatiotemporal Resolution with Deep Learning applied to Synthetic Apertur Radar Data . . https://doi.org/10.5194/egusphere-egu23-14207 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.5194/egusphere-egu23-14207 |
_version_ |
1772809958668107776 |