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Benedikt Soja (1988-)

Name	Benedikt Soja
Time	1988- (Date of birth and death)
Place	Wien (Geburtsort) Österreich Schweiz USA
Gender	männlich
Academic degree	Dr.
Related	Eidgenössische Technische Hochschule Zürich (Tenure-Track-Assistenzprofessor für Weltraumgeodäsie) Jet Propulsion Laboratory Geodäsie (Studienfach) Geophysik (Studienfach)
Record type	Person
GND-Identifier	1199357367
Record ID	1199357367
Involved in show all Optimizing VGOS observations using an SNR-based scheduling approach A feasibility study to Reconstruct Atmospheric Rivers using space- and ground-based GNSS observations Downscaling GRACE-derived ocean bottom pressure anomalies using self-supervised data fusion A feasibility study to reconstruct atmospheric rivers using space- and ground-based GNSS observations Deep Learning Approaches for GNSS and InSAR Geodetic Modeling ZWDX: a global zenith wet delay forecasting model using XGBoost BaHaMAs: a method for uncertainty quantification in geodetic time series and its application in short-term prediction of length of day On the real-time tropospheric delay estimates using low-cost GNSS receivers and antennas Machine learning-based detection of TEC signatures related to earthquakes and tsunamis: the 2015 Illapel case study Global, spatially explicit modelling of zenith wet delay with XGBoost Global high-resolution total water storage anomalies from self-supervised data assimilation using deep learning algorithms Short-term prediction of celestial pole offsets with interpretable machine learning Determination of high-precision tropospheric delays using crowdsourced smartphone GNSS data 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 Assessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign Contributions of core, mantle and climatological processes to Earth’s polar motion Findings on celestial pole offsets predictions in the second earth orientation parameters prediction comparison campaign (2nd EOP PCC) Prospects of Predicting the Polar Motion Based on the Results of the Second Earth Orientation Parameters Prediction Comparison Campaign Tightly coupled integration of monocular visual-inertial odometry and UC-PPP based on factor graph optimization in difficult urban environments On the importance of accurate pole and station coordinates for VLBI Intensive baselines GNSS Radio Occultation Climatologies mapped by Machine Learning and Bayesian Interpolation Machine learning-based multipath modeling in spatial domain applied to GNSS short baseline processing Ultra-short-term prediction of LOD using LSTM neural networks Bridging astronomical, astrometric and geodetic scheduling for VGOS 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 Improvements and comparison of VLBI INT2 and INT3 session performance Prediction of Alpine Foehn from time series of GNSS troposphere products using machine learning Machine learning-based prediction of Alpine foehn events using GNSS troposphere products: first results for Altdorf, Switzerland The Potsdam Open Source Radio Interferometry Tool (PORT) Optimal VLBI baseline geometry for UT1-UTC Intensive observations Automated VLBI scheduling using AI-based parameter optimization Earth orientation parameters from VLBI determined with a Kalman filter Improving the modeling of the atmospheric delay in the data analysis of the Intensive VLBI sessions and the impact on the UT1 estimates On the long-term stability of terrestrial reference frame solutions based on Kalman filtering Improving the modeling of the atmospheric delay in the data analysis of the Intensive VLBI sessions and the impact on the UT1 estimates Erratum to: Determination of a terrestrial reference frame via Kalman filtering of very long baseline interferometry data Determination of a terrestrial reference frame via Kalman filtering of very long baseline interferometry data Anwendung eines Kalman-Filters in der Auswertung von VLBI-Daten Anwendung eines Kalman-Filters in der Auswertung von VLBI-Daten Tropospheric delay determination by Kalman filtering VLBI data Estimation and evaluation of real-time precipitable water vapor from GLONASS and GPS

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Katalog der Deutschen Nationalbibliothek

Benedikt Soja (1988-)

Optimizing VGOS observations using an SNR-based scheduling approach

A feasibility study to Reconstruct Atmospheric Rivers using space- and ground-based GNSS observations

Downscaling GRACE-derived ocean bottom pressure anomalies using self-supervised data fusion

A feasibility study to reconstruct atmospheric rivers using space- and ground-based GNSS observations

Deep Learning Approaches for GNSS and InSAR Geodetic Modeling

ZWDX: a global zenith wet delay forecasting model using XGBoost

BaHaMAs: a method for uncertainty quantification in geodetic time series and its application in short-term prediction of length of day

On the real-time tropospheric delay estimates using low-cost GNSS receivers and antennas

Machine learning-based detection of TEC signatures related to earthquakes and tsunamis: the 2015 Illapel case study

Global, spatially explicit modelling of zenith wet delay with XGBoost

Global high-resolution total water storage anomalies from self-supervised data assimilation using deep learning algorithms

Short-term prediction of celestial pole offsets with interpretable machine learning

Determination of high-precision tropospheric delays using crowdsourced smartphone GNSS data

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

Assessment of length-of-day and universal time predictions based on the results of the Second Earth Orientation Parameters Prediction Comparison Campaign

Contributions of core, mantle and climatological processes to Earth’s polar motion

Findings on celestial pole offsets predictions in the second earth orientation parameters prediction comparison campaign (2nd EOP PCC)

Prospects of Predicting the Polar Motion Based on the Results of the Second Earth Orientation Parameters Prediction Comparison Campaign

Tightly coupled integration of monocular visual-inertial odometry and UC-PPP based on factor graph optimization in difficult urban environments

On the importance of accurate pole and station coordinates for VLBI Intensive baselines

GNSS Radio Occultation Climatologies mapped by Machine Learning and Bayesian Interpolation

Machine learning-based multipath modeling in spatial domain applied to GNSS short baseline processing

Ultra-short-term prediction of LOD using LSTM neural networks

Bridging astronomical, astrometric and geodetic scheduling for VGOS

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

Improvements and comparison of VLBI INT2 and INT3 session performance

Prediction of Alpine Foehn from time series of GNSS troposphere products using machine learning

Machine learning-based prediction of Alpine foehn events using GNSS troposphere products: first results for Altdorf, Switzerland

The Potsdam Open Source Radio Interferometry Tool (PORT)

Optimal VLBI baseline geometry for UT1-UTC Intensive observations

Automated VLBI scheduling using AI-based parameter optimization

Earth orientation parameters from VLBI determined with a Kalman filter

Improving the modeling of the atmospheric delay in the data analysis of the Intensive VLBI sessions and the impact on the UT1 estimates

On the long-term stability of terrestrial reference frame solutions based on Kalman filtering

Improving the modeling of the atmospheric delay in the data analysis of the Intensive VLBI sessions and the impact on the UT1 estimates

Erratum to: Determination of a terrestrial reference frame via Kalman filtering of very long baseline interferometry data

Determination of a terrestrial reference frame via Kalman filtering of very long baseline interferometry data

Anwendung eines Kalman-Filters in der Auswertung von VLBI-Daten

Anwendung eines Kalman-Filters in der Auswertung von VLBI-Daten

Tropospheric delay determination by Kalman filtering VLBI data

Estimation and evaluation of real-time precipitable water vapor from GLONASS and GPS