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Benedikt Soja
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2020 – today
- 2024
- [j9]Sijie Lyu
, Yan Xiang
Uncertainties of Interpolating Satellite-Specific Slant Ionospheric Delays and Impacts on PPP-RTK. IEEE Trans. Aerosp. Electron. Syst. 60(1): 490-505 (2024) - [j8]Junsheng Ding
Forecasting of Tropospheric Delay Using AI Foundation Models in Support of Microwave Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j7]Wenyuan Zhang
A New Deep-Learning-Assisted Global Water Vapor Stratification Model for GNSS Meteorology: Validations and Applications. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [c6]Laura Crocetti, Matthias Schartner, Konrad Schindler, Rochelle Schneider, Benedikt Soja:
Modelling the Troposphere with Global Navigation Satellite Systems, Meteorological Data and Machine Learning. IGARSS 2024: 1689-1692 - [c5]Shuyin Mao, Grzegorz Klopotek
Global Ionospheric Modeling Using Multi-GNSS: A Machine Learning Approach. IGARSS 2024: 5774-5777 - 2023
- [j6]Linda See
Collecting volunteered geographic information from the Global Navigation Satellite System (GNSS): experiences from the CAMALIOT project. Int. J. Digit. Earth 16(1): 2818-2841 (2023) - [j5]Junyang Gou
Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches. Remote. Sens. 15(23): 5585 (2023) - [j4]Alireza Atabati
Analyzing the Ionospheric Irregularities Caused by the September 2017 Geomagnetic Storm Using Ground-Based GNSS, Swarm, and FORMOSAT-3/COSMIC Data near the Equatorial Ionization Anomaly in East Africa. Remote. Sens. 15(24): 5762 (2023) - [c4]Benedikt Soja, Grzegorz Klopotek
Machine Learning-Based Exploitation of Crowdsourced GNSS Data for Atmospheric Studies. IGARSS 2023: 1170-1173 - 2022
- [j3]Pia Ruttner
Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach. Remote. Sens. 14(1): 17 (2022) - [j2]Randa Natras
Ensemble Machine Learning of Random Forest, AdaBoost and XGBoost for Vertical Total Electron Content Forecasting. Remote. Sens. 14(15): 3547 (2022) - [c3]Mostafa Kiani Shahvandi
Data Driven Approaches for the Prediction of Earth's Effective Angular Momentum Functions. IGARSS 2022: 6550-6553 - 2021
- [j1]Laura Crocetti
Discontinuity Detection in GNSS Station Coordinate Time Series Using Machine Learning. Remote. Sens. 13(19): 3906 (2021) - [c2]Mostafa Kiani Shahvandi
Modified Deep Transformers for GNSS Time Series Prediction. IGARSS 2021: 8313-8316 - [c1]Mostafa Kiani Shahvandi
Small Geodetic Datasets and Deep Networks: Attention-Based Residual LSTM Autoencoder Stacking for Geodetic Time Series. LOD 2021: 296-307
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