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

    flowchart
    W[2022AGUFM.C22B..04D]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (1)"]
    W== author ==>LA
    W== affil ==>LI
    click LA "#linked-authors"
    click LI "#linked-institutions"
Graph neighborhood for 'The Potential of Artificial Intelligence for the Monitoring of Ice Shelf Surface Hydrology in Multi-Sensor Remote Sensing Data'. Click aggregate nodes to navigate.
ADS bibcode
2022AGUFM.C22B..04D
year
2022
Listed Authors
Dirscherl, Mariel
Dietz, Andreas
Kuenzer, Claudia
Listed Institutions
German Aerospace Center (DLR), Oberpfaffenhofen, Germany
German Aerospace Center (DLR), Oberpfaffenhofen, Germany
German Aerospace Center (DLR), Oberpfaffenhofen, Germany

Linked Authors [?]

Linked Institutions