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Automated Mapping of Antarctic Supraglacial Lakes Using a Machine Learning Approach

Dirscherl, Mariel and Dietz, Andreas and Kneisel, Christoph and Kuenzer, Claudia (2020) Automated Mapping of Antarctic Supraglacial Lakes Using a Machine Learning Approach. Remote Sensing, 12 (7), pp. 1-27. Multidisciplinary Digital Publishing Institute (MDPI). DOI: 10.3390/rs12071203 ISSN 2072-4292

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Official URL: https://www.mdpi.com/2072-4292/12/7/1203


Item URL in elib:https://elib.dlr.de/134639/
Document Type:Article
Title:Automated Mapping of Antarctic Supraglacial Lakes Using a Machine Learning Approach
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Dirscherl, MarielMariel.Dirscherl (at) dlr.deUNSPECIFIED
Dietz, AndreasAndreas.Dietz (at) dlr.deUNSPECIFIED
Kneisel, Christophkneisel (at) uni-wuerzburg.deUNSPECIFIED
Kuenzer, Claudiaclaudia.kuenzer (at) dlr.deUNSPECIFIED
Date:April 2020
Journal or Publication Title:Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:12
DOI :10.3390/rs12071203
Page Range:pp. 1-27
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:Antarctica; Antarctic ice sheet; supraglacial lakes; surface melt; hydrology; ice sheet dynamics; sentinel-2; remote sensing; random forest; machine learning
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface Dynamics
Deposited By: Dirscherl, Mariel
Deposited On:23 Apr 2020 14:59
Last Modified:23 Apr 2020 14:59

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