University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Automated Crevasse Mapping Using Deep Learning Foundation Models to Analyse Climate Change and Glaciology

dc.contributor.authorWallace, Steven
dc.contributor.authorDurrant, Aiden
dc.contributor.authorHarcourt, William D.
dc.contributor.authorLeontidis, Georgios
dc.contributor.institutionUniversity of Aberdeen.Natural & Computing Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.contributor.institutionUniversity of Aberdeen.Geography & Environmenten
dc.date.accessioned2024-04-26T09:57:00Z
dc.date.available2024-04-26T09:57:00Z
dc.date.issued2024-04-09
dc.descriptionWallace, S., Durrant, A., Harcourt, W. D., and Leontidis, G.: Automated Crevasse Mapping Using Deep Learning Foundation Models to Analyse Climate Change and Glaciology , EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-12922, https://doi.org/10.5194/egusphere-egu24-12922, 2024.en
dc.format.extent294784
dc.identifier288954371
dc.identifierfca3bfd7-d2c2-461d-b3b6-42c4359055c9
dc.identifier.citationWallace, S, Durrant, A, Harcourt, W D & Leontidis, G 2024, 'Automated Crevasse Mapping Using Deep Learning Foundation Models to Analyse Climate Change and Glaciology', EGU General Assembly 2024, Vienna, Austria, 14/04/24 - 19/04/24. https://doi.org/10.5194/egusphere-egu24-12922en
dc.identifier.citationconferenceen
dc.identifier.doi10.5194/egusphere-egu24-12922
dc.identifier.otherORCID: /0000-0003-3897-3193/work/155009711
dc.identifier.urihttps://hdl.handle.net/2164/23353
dc.language.isoeng
dc.subjectSDG 13 - Climate Actionen
dc.subjectGE Environmental Sciencesen
dc.subject.lccGEen
dc.titleAutomated Crevasse Mapping Using Deep Learning Foundation Models to Analyse Climate Change and Glaciologyen
dc.typeConference itemen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
EGU24-12922-print.pdf
Size:
287.88 KB
Format:
Adobe Portable Document Format

Collections