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A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep Learning

Dirscherl, Mariel and Dietz, Andreas and Kneisel, Christoph and Kuenzer, Claudia (2021) A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep Learning. Remote Sensing, 13 (2). Multidisciplinary Digital Publishing Institute (MDPI). doi: 10.3390/rs13020197. ISSN 2072-4292.

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Official URL: https://www.mdpi.com/2072-4292/13/2/197


Item URL in elib:https://elib.dlr.de/140223/
Document Type:Article
Title:A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep Learning
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:January 2021
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:13
DOI :10.3390/rs13020197
Publisher:Multidisciplinary Digital Publishing Institute (MDPI)
ISSN:2072-4292
Status:Published
Keywords:Antarctica; Antarctic ice sheet; supraglacial lakes; ice sheet hydrology; Sentinel-1; remote sensing; machine learning; deep learning; semantic segmentation; convolutional neural network
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 Jan 2021 08:57
Last Modified:12 Jan 2021 08:57

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