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

Dirscherl, Mariel and Dietz, Andreas and 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.

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Item URL in elib:

https://elib.dlr.de/189808/

Document Type:

Conference or Workshop Item (Speech)

Title:

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

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Dirscherl, Mariel	UNSPECIFIED	https://orcid.org/0000-0002-3324-7646	UNSPECIFIED
Dietz, Andreas	UNSPECIFIED	https://orcid.org/0000-0002-5733-7136	UNSPECIFIED
Kuenzer, Claudia	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED

Date:

December 2022

Refereed publication:

Open Access:

Gold Open Access:

In SCOPUS:

In ISI Web of Science:

Status:

Published

Keywords:

Remote Sensing, SAR, Optical, Sentinel, Antarctica, Surface Melt, Supraglacial Lakes, Artificial Intelligence

Event Title:

AGU Fall Meeting 2022

Event Location:

Chicago, USA

Event Type:

international Conference

Event Start Date:

12 December 2022

Event End Date:

16 December 2022

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:

23 Nov 2022 13:33

Last Modified:

08 May 2025 08:59

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