Benedikt Soja

According to our database, Benedikt Soja authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Uncertainties of Interpolating Satellite-Specific Slant Ionospheric Delays and Impacts on PPP-RTK.

Sijie Lyu, Yan Xiang, Benedikt Soja, Ningbo Wang, Wenxian Yu, Trieu-Kien Truong

IEEE Trans. Aerosp. Electron. Syst., February, 2024

2023

Modeling the Differences between Ultra-Rapid and Final Orbit Products of GPS Satellites Using Machine-Learning Approaches.

Junyang Gou, Christine Rösch, Endrit Shehaj, Kangkang Chen, Mostafa Kiani Shahvandi, Benedikt Soja, Markus Rothacher

Remote. Sens., December, 2023

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.

Alireza Atabati, Iraj Jazireeyan, Mahdi Alizadeh, Mahmoud Pirooznia, Jakob Flury, Harald Schuh, Benedikt Soja

Remote. Sens., December, 2023

Collecting volunteered geographic information from the Global Navigation Satellite System (GNSS): experiences from the CAMALIOT project.

Linda See, Benedikt Soja, Grzegorz Klopotek, Tobias Sturn, Rudi Weinacker, Santosh Karanam, Ivelina Georgieva, Yuanxin Pan, Laura Crocetti, Markus Rothacher, Vicente Navarro, Steffen Fritz, Ian McCallum

Int. J. Digit. Earth, December, 2023

Machine Learning-Based Exploitation of Crowdsourced GNSS Data for Atmospheric Studies.

Benedikt Soja, Grzegorz Klopotek, Yuanxin Pan, Laura Crocetti, Shuyin Mao, Mudathir Awadaljeed, Markus Rothacher, Linda See, Tobias Sturn, Rudi Weinacker, Ian McCallum, Vicente Navarro

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2022

Modeling of Residual GNSS Station Motions through Meteorological Data in a Machine Learning Approach.

Pia Ruttner, Roland Hohensinn, Stefano D'Aronco, Jan Dirk Wegner, Benedikt Soja

Remote. Sens., 2022

Ensemble Machine Learning of Random Forest, AdaBoost and XGBoost for Vertical Total Electron Content Forecasting.

Randa Natras, Benedikt Soja, Michael Schmidt

Remote. Sens., 2022

Data Driven Approaches for the Prediction of Earth's Effective Angular Momentum Functions.

Mostafa Kiani Shahvandi, Junyang Gou, Matthias Schartner, Benedikt Soja

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2021

Discontinuity Detection in GNSS Station Coordinate Time Series Using Machine Learning.

Laura Crocetti, Matthias Schartner, Benedikt Soja

Remote. Sens., 2021

Small Geodetic Datasets and Deep Networks: Attention-Based Residual LSTM Autoencoder Stacking for Geodetic Time Series.

Mostafa Kiani Shahvandi, Benedikt Soja

Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Modified Deep Transformers for GNSS Time Series Prediction.

Mostafa Kiani Shahvandi, Benedikt Soja

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021