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Investigating the drivers of global glacier volume changes over the last two decades using machine learning

Diaconu, Codrut-Andrei and Bamber, Jonathan L. and Maussion, Fabien and Zekollari, Harry (2024) Investigating the drivers of global glacier volume changes over the last two decades using machine learning. General Assembly 2024 of the European Geosciences Union (EGU), 2024-04-14 - 2024-04-19, Vienna, Austria.

Full text not available from this repository.


Item URL in elib:https://elib.dlr.de/209209/
Document Type:Conference or Workshop Item (Speech)
Additional Information:https://meetingorganizer.copernicus.org/EGU24/EGU24-701.html
Title:Investigating the drivers of global glacier volume changes over the last two decades using machine learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Diaconu, Codrut-AndreiUNSPECIFIEDhttps://orcid.org/0009-0000-1941-0139UNSPECIFIED
Bamber, Jonathan L.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Maussion, FabienUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zekollari, HarryUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2024
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Machine Learning, Glacier Mass Balance Modelling
Event Title:General Assembly 2024 of the European Geosciences Union (EGU)
Event Location:Vienna, Austria
Event Type:international Conference
Event Start Date:14 April 2024
Event End Date:19 April 2024
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Artificial Intelligence
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Diaconu, Codrut-Andrei
Deposited On:29 Nov 2024 08:26
Last Modified:29 Nov 2024 08:26

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