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:
Online Access:https://elib.dlr.de/189808/
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author Dirscherl, Mariel
Dietz, Andreas
Kuenzer, Claudia
author_facet Dirscherl, Mariel
Dietz, Andreas
Kuenzer, Claudia
author_sort Dirscherl, Mariel
collection Unknown
format Conference Object
genre Ice Shelf
genre_facet Ice Shelf
id ftdlr:oai:elib.dlr.de:189808
institution Open Polar
language unknown
op_collection_id ftdlr
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.
publishDate 2022
record_format openpolar
spelling ftdlr:oai:elib.dlr.de:189808 2025-06-15T14:29:39+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 2025-06-04T04:58:09Z Conference Object Ice Shelf Unknown
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
title 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_short 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
topic Dynamik der Landoberfläche
topic_facet Dynamik der Landoberfläche
url https://elib.dlr.de/189808/