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

Bibliographic Details
Published in:Remote Sensing
Main Authors: Dirscherl, Mariel, Dietz, Andreas, Kneisel, Christoph, Kuenzer, Claudia
Format: Other Non-Article Part of Journal/Newspaper
Language:English
Published: Multidisciplinary Digital Publishing Institute (MDPI) 2021
Subjects:
Dynamik der Landoberfläche
Antarc*
Antarctica
Online Access:https://elib.dlr.de/140223/
https://elib.dlr.de/140223/1/remotesensing-13-00197.pdf
https://www.mdpi.com/2072-4292/13/2/197
id ftdlr:oai:elib.dlr.de:140223
record_format openpolar
spelling ftdlr:oai:elib.dlr.de:140223 2023-05-15T13:51:36+02:00 A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep Learning Dirscherl, Mariel Dietz, Andreas Kneisel, Christoph Kuenzer, Claudia 2021-01 application/pdf https://elib.dlr.de/140223/ https://elib.dlr.de/140223/1/remotesensing-13-00197.pdf https://www.mdpi.com/2072-4292/13/2/197 en eng Multidisciplinary Digital Publishing Institute (MDPI) https://elib.dlr.de/140223/1/remotesensing-13-00197.pdf Dirscherl, Mariel und Dietz, Andreas und Kneisel, Christoph und 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), Seiten 1-27. Multidisciplinary Digital Publishing Institute (MDPI). doi:10.3390/rs13020197 <https://doi.org/10.3390/rs13020197>. ISSN 2072-4292. Dynamik der Landoberfläche Zeitschriftenbeitrag PeerReviewed 2021 ftdlr https://doi.org/10.3390/rs13020197 2022-05-29T23:12:47Z Other Non-Article Part of Journal/Newspaper Antarc* Antarctica German Aerospace Center: elib - DLR electronic library Remote Sensing 13 2 197
institution Open Polar
collection German Aerospace Center: elib - DLR electronic library
op_collection_id ftdlr
language English
topic Dynamik der Landoberfläche
spellingShingle Dynamik der Landoberfläche
Dirscherl, Mariel
Dietz, Andreas
Kneisel, Christoph
Kuenzer, Claudia
A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep Learning
topic_facet Dynamik der Landoberfläche
format Other Non-Article Part of Journal/Newspaper
author Dirscherl, Mariel
Dietz, Andreas
Kneisel, Christoph
Kuenzer, Claudia
author_facet Dirscherl, Mariel
Dietz, Andreas
Kneisel, Christoph
Kuenzer, Claudia
author_sort Dirscherl, Mariel
title A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep Learning
title_short A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep Learning
title_full A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep Learning
title_fullStr A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep Learning
title_full_unstemmed A Novel Method for Automated Supraglacial Lake Mapping in Antarctica Using Sentinel-1 SAR Imagery and Deep Learning
title_sort novel method for automated supraglacial lake mapping in antarctica using sentinel-1 sar imagery and deep learning
publisher Multidisciplinary Digital Publishing Institute (MDPI)
publishDate 2021
url https://elib.dlr.de/140223/
https://elib.dlr.de/140223/1/remotesensing-13-00197.pdf
https://www.mdpi.com/2072-4292/13/2/197
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_relation https://elib.dlr.de/140223/1/remotesensing-13-00197.pdf
Dirscherl, Mariel und Dietz, Andreas und Kneisel, Christoph und 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), Seiten 1-27. Multidisciplinary Digital Publishing Institute (MDPI). doi:10.3390/rs13020197 <https://doi.org/10.3390/rs13020197>. ISSN 2072-4292.
op_doi https://doi.org/10.3390/rs13020197
container_title Remote Sensing
container_volume 13
container_issue 2
container_start_page 197
_version_ 1766255555193602048

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