The Potential of Artificial Intelligence for the Monitoring of Ice Shelf Surface Hydrology in Multi-Sensor Remote Sensing Data

Bibliographic Details
Main Authors: Dirscherl, Mariel, Dietz, Andreas, Kuenzer, Claudia
Format: Conference Object
Language:unknown
Published: 2022
Subjects:
Dynamik der Landoberfläche
Ice Shelf
Online Access:https://elib.dlr.de/189808/
id ftdlr:oai:elib.dlr.de:189808
record_format openpolar
spelling ftdlr:oai:elib.dlr.de:189808 2024-05-19T07:42:16+00:00 The Potential of Artificial Intelligence for the Monitoring of Ice Shelf Surface Hydrology in Multi-Sensor Remote Sensing Data Dirscherl, Mariel Dietz, Andreas Kuenzer, Claudia 2022-12 https://elib.dlr.de/189808/ unknown Dirscherl, Mariel und Dietz, Andreas und Kuenzer, Claudia (2022) The Potential of Artificial Intelligence for the Monitoring of Ice Shelf Surface Hydrology in Multi-Sensor Remote Sensing Data. AGU Fall Meeting 2022, 2022-12-12 - 2022-12-16, Chicago, USA. Dynamik der Landoberfläche Konferenzbeitrag NonPeerReviewed 2022 ftdlr 2024-04-25T01:03:56Z Conference Object Ice Shelf German Aerospace Center: elib - DLR electronic library
institution Open Polar
collection German Aerospace Center: elib - DLR electronic library
op_collection_id ftdlr
language unknown
topic Dynamik der Landoberfläche
spellingShingle Dynamik der Landoberfläche
Dirscherl, Mariel
Dietz, Andreas
Kuenzer, Claudia
The Potential of Artificial Intelligence for the Monitoring of Ice Shelf Surface Hydrology in Multi-Sensor Remote Sensing Data
topic_facet Dynamik der Landoberfläche
format Conference Object
author Dirscherl, Mariel
Dietz, Andreas
Kuenzer, Claudia
author_facet Dirscherl, Mariel
Dietz, Andreas
Kuenzer, Claudia
author_sort Dirscherl, Mariel
title The Potential of Artificial Intelligence for the Monitoring of Ice Shelf Surface Hydrology in Multi-Sensor Remote Sensing Data
title_short The Potential of Artificial Intelligence for the Monitoring of Ice Shelf Surface Hydrology in Multi-Sensor Remote Sensing Data
title_full The Potential of Artificial Intelligence for the Monitoring of Ice Shelf Surface Hydrology in Multi-Sensor Remote Sensing Data
title_fullStr The Potential of Artificial Intelligence for the Monitoring of Ice Shelf Surface Hydrology in Multi-Sensor Remote Sensing Data
title_full_unstemmed The Potential of Artificial Intelligence for the Monitoring of Ice Shelf Surface Hydrology in Multi-Sensor Remote Sensing Data
title_sort potential of artificial intelligence for the monitoring of ice shelf surface hydrology in multi-sensor remote sensing data
publishDate 2022
url https://elib.dlr.de/189808/
genre Ice Shelf
genre_facet Ice Shelf
op_relation Dirscherl, Mariel und Dietz, Andreas und Kuenzer, Claudia (2022) The Potential of Artificial Intelligence for the Monitoring of Ice Shelf Surface Hydrology in Multi-Sensor Remote Sensing Data. AGU Fall Meeting 2022, 2022-12-12 - 2022-12-16, Chicago, USA.
_version_ 1799481931982700544

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