Record link: 
http://hdl.handle.net/20.500.12708/204458
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Title: 
ML-based Ionospheric TEC maps for enhanced K-band VLBI
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Citation: 
Iten, M., Soja, B., de Witt, A., Schartner, M., Rüegg, A., Krasna, H., & Nickola, M. (2024). ML-based Ionospheric TEC maps for enhanced K-band VLBI. In XXXII IAU General Assembly Abstract Book (pp. 2079–2079). http://hdl.handle.net/20.500.12708/204458
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Iten, Marcel 
Soja, Benedikt 
de Witt, Aletha 
Schartner, Matthias 
Rüegg, Arno 
Krasna, Hana 
Nickola, Marisa 
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Organisational Unit: 
E120-04 - Forschungsbereich Höhere Geodäsie 
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Published in: 
XXXII IAU General Assembly Abstract Book 
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Date (published): 
2024
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Event name: 
XXXII IAU General Assembly 
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Event date: 
6-Aug-2024 - 15-Aug-2024
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Event place: 
Cape Town, South Africa
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Number of Pages: 
1
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Keywords: 
VLBI K-band; Maschine Learning; Ionosphere
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Project title: 
K-Band VLBI-Beobachtungen mit verbesserten Beobachtungsplänen und Ionosphärenkorrekturen (ETH Eidgenössische Technische Hochschule Zürich) 
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Research Areas: 
Environmental Monitoring and Climate Adaptation: 100%
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Science Branch: 
2074 - Geodäsie, Vermessungswesen: 30%
1020 - Informatik: 30%
1030 - Physik, Astronomie: 40%
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