Modelling the Point Mass Balance for the Glaciers of Central European Alps using Machine Learning Techniques
- 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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Modelling the Point Mass Balance for the Glaciers of Central European Alps using Machine Learning Techniques ; day:10 ; month:11 ; year:2022 ; pages:1-27 ; extent:27
EGUsphere ; (10.11.2022), 1-27 (gesamt 27)
- Creator
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Anilkumar, Ritu
Bharti, Rishikesh
Chutia, Dibyajyoti
Aggarwal, Shiv Prasad
- DOI
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10.5194/egusphere-2022-1076
- URN
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urn:nbn:de:101:1-2022111704341354147051
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:20 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Anilkumar, Ritu
- Bharti, Rishikesh
- Chutia, Dibyajyoti
- Aggarwal, Shiv Prasad
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Evaluating the destabilization susceptibility of active rock glaciers in the French Alps
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Reply to Professor Tyndall's remarks, in his work "On the glaciers of the Alps", relating to Rendu's "Théorie des glaciers"
Active rock glaciers as shallow groundwater reservoirs, Austrian Alps
Area and volume loss of the glaciers in the Ortles-Cevedale group (Eastern Italian Alps): controls and imbalance of the remaining glaciers
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Application and validation of long-range terrestrial laser scanning to monitor the mass balance of very small glaciers in the Swiss Alps