Space Geodesy at EGU2024
Last week, from 14-19 April 2024 the European Geoscience Union General Assembly (EGU2024) took place in Vienna and online. The Space Geodesy group was well represented with 8 oral contributions and 3 poster presentations as main authors and several contributions as co-authors.
We enjoyed being in Vienna at EGU2024. Besides listening to interesting oral and poster presentations, the conference allowed to meet colleagues from all over the world. It was a nice opportunity to share our research and discuss our work with experts from different fields.
A highlight was that the external page "Data science and machine learning in geodesy" session, organized by Benedikt Soja et al., was very well attended. Additionally, we helped organize again the external page Geodesy 101 short course with good participation.
Space Geodesy as main-author
Oral contributions
- external page Quality control for multi-GNSS uncombined PPP ambiguity resolution using asequential Kalman filter - Cao et al.
- external page Rethinking operational VGOS observations - Schartner et al.
- external page The excitation of free core nutation: a reappraisal - Kiani Shahvandi et al.
- external page Explaining GNSS station movements based on Earth observation data - Crocetti et al.
- external page Enhanced Real-time Global Ionospheric Maps using Machine Learning - Iten et al.
- external page Exploring the performance of machine learning models for the GNSS-IR retrieval of seasonal snow height - Aichinger-Rosenberger et al.
- external page Improving the spatial resolution of global mass changes observed by GRACE(-FO) using deep learning — from terrestrial water to the ocean - Gou et al.
- external page Assimilating UAV-based GNSS ZTDs for Numerical Weather Predictions - Zhang et al.
Poster contributions
- external page Non-line-of-sight GNSS Signal Classification for Urban Navigation Using Machine Learning - Pan et al.
- external page An Ionospheric Forecasting Model Based on Transfer Learning Using High-Resolution Global Ionospheric Maps - Mao et al.
- external page Machine learning-based regional slant ionospheric delay model and its application forPPP-RTK - Lyu et al.
Space Geodesy as co-author
- external page Using Machine Learning for identifying TEC signatures related to earthquakes and tsunamis: the 2015 Illapel event case study - Fuso et al.
- external page A low-cost commercial off-the-shelf GNSS receiver for space - Moeller et al.
- external page AIRETH 2.0 – a revamped helicopter-borne GPR for glaciological applications - Farinotti et al.
- external page Food security in a changing climate - how can Earth observation and machine learning help? - Bueechi et al.