Physics-aware Machine Learning for Glacier Ice Thickness Estimation: A Case Study for Svalbard
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Physics-aware Machine Learning for Glacier Ice Thickness Estimation: A Case Study for Svalbard ; day:14 ; month:06 ; year:2024 ; pages:1-19 ; extent:19
EGUsphere ; (14.06.2024), 1-19 (gesamt 19)
- Creator
- DOI
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10.5194/egusphere-2024-1732
- URN
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urn:nbn:de:101:1-2408051446322.181563951015
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:51 AM CEST
Data provider
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Associated
- Steidl, Viola
- Bamber, Jonathan L.
- Zhu, Xiaoxiang
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Application of a two-step approach for mapping ice thickness to various glacier types on Svalbard
Surge dynamics in the Nathorstbreen glacier system, Svalbard
Seismic Monitoring of Glacier Activity on Svalbard (SEISMOGLAC) - Report
Application of a minimal glacier model to Hansbreen, Svalbard
Decadal changes from a multi-temporal glacier inventory of Svalbard
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Subglacial topography, ice thickness, and bathymetry of Kongsfjorden, northwestern Svalbard
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