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A novel technique for automated mapping of Antarctic supraglacial lakes in Sentinel-1 SAR imagery using deep learning

Dirscherl, Mariel and Dietz, Andreas and Baumhoer, Celia and Kneisel, Christoph and Kuenzer, Claudia (2021) A novel technique for automated mapping of Antarctic supraglacial lakes in Sentinel-1 SAR imagery using deep learning. EGU General Assembly 2021, 19.-30. April 2021, Wien, Österreich. doi: 10.5194/egusphere-egu21-508.

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Item URL in elib:https://elib.dlr.de/143060/
Document Type:Conference or Workshop Item (Poster)
Title:A novel technique for automated mapping of Antarctic supraglacial lakes in Sentinel-1 SAR imagery using deep learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Dirscherl, MarielMariel.Dirscherl (at) dlr.deUNSPECIFIED
Dietz, AndreasAndreas.Dietz (at) dlr.deUNSPECIFIED
Baumhoer, CeliaCelia.Baumhoer (at) dlr.deUNSPECIFIED
Kneisel, Christophkneisel (at) uni-wuerzburg.deUNSPECIFIED
Kuenzer, Claudiaclaudia.kuenzer (at) dlr.deUNSPECIFIED
Date:April 2021
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.5194/egusphere-egu21-508
Status:Published
Keywords:Deep learning, Antarctica, supraglacial lakes, ice sheet, Sentinel-1
Event Title:EGU General Assembly 2021
Event Location:Wien, Österreich
Event Type:international Conference
Event Dates:19.-30. April 2021
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 - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Dirscherl, Mariel
Deposited On:12 Jul 2021 10:38
Last Modified:14 Jan 2022 12:21

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