Modelling the Troposphere with Global Navigation Satellite Systems, Meteorological Data and Machine Learning

Authors: Crocetti, Laura, Schartner, Matthias, Schindler, Konrad, Schneider, Rochelle, Soja, Benedikt

Source: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2024 - 2024 IEEE International. :1689-1692 Jul, 2024

Relation: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium

Global Ionospheric Modeling Using Multi-GNSS: A Machine Learning Approach

Authors: Mao, Shuyin, Klopotek, Grzegorz, Pan, Yuanxin, Soja, Benedikt

Source: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2024 - 2024 IEEE International. :5774-5777 Jul, 2024

Relation: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium

Uncertainties of Satellite-based Essential Climate Variables from Deep Learning

Authors: Gou, Junyang, Salberg, Arnt-Børre, Shahvandi, Mostafa Kiani, Tourian, Mohammad J., Meyer, Ulrich, Boergens, Eva, Waldeland, Anders U., Velicogna, Isabella, Dahl, Fredrik, Jäggi, Adrian, Schindler, Konrad, Soja, Benedikt

Subject Terms: Physics - Geophysics, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2412.17506

Optimizing VGOS observations using an SNR-based scheduling approach

Authors: Schartner, Matthias, Petrachenko, Bill, Titus, Mike, Krásná, Hana, Barrett, John, Hoak, Dan, Mondal, Dhiman, Xu, Minghui, Soja, Benedikt

Subject Terms: Astrophysics - Instrumentation and Methods for Astrophysics

Access URL: http://arxiv.org/abs/2407.13323

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

Authors: Gou, Junyang, Börger, Lara, Schindelegger, Michael, Soja, Benedikt

Subject Terms: Physics - Geophysics

Access URL: http://arxiv.org/abs/2404.05818

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

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

Source: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2023 - 2023 IEEE International. :1170-1173 Jul, 2023

Relation: IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium

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

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

Source: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium Geoscience and Remote Sensing Symposium, IGARSS 2022 - 2022 IEEE International. :6550-6553 Jul, 2022

Relation: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium

Machine Learning Ensemble Approach for Ionosphere and Space Weather Forecasting with Uncertainty Quantification

Authors: Natras, Randa, Soja, Benedikt, Schmidt, Michael

Source: 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC) Radio Science Meeting (AT-AP-RASC), 2022 3rd URSI Atlantic and Asia Pacific. :1-4 May, 2022

Relation: 2022 3rd URSI Atlantic and Asia Pacific Radio Science Meeting (AT-AP-RASC)

VGOS VLBI Intensives between MACGO12M and WETTZ13S for the rapid determination of UT1-UTC

Authors: Schartner, Matthias, Petrov, Leonid, Plötz, Christian, Lemoine, Frank G., Terrazas, Eusebio, Soja, Benedikt

Subject Terms: Physics - Geophysics, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics

Access URL: http://arxiv.org/abs/2302.08147

Modified Deep Transformers for GNSS Time Series Prediction

Authors: Shahvandi, Mostafa Kiani, Soja, Benedikt

Source: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS Geoscience and Remote Sensing Symposium IGARSS , 2021 IEEE International. :8313-8316 Jul, 2021

Relation: IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium

Laplacian deep ensembles: Methodology and application in predicting dUT1 considering geophysical fluids

Authors: Kiani Shahvandi, Mostafa ^{a, ⁎}, Mishra, Siddhartha ^b, Soja, Benedikt ^a

Source: In Computers and Geosciences February 2025 196

A Cloud-native Approach for Processing of Crowdsourced GNSS Observations and Machine Learning at Scale: A Case Study from the CAMALIOT Project

Authors: Kłopotek, Grzegorz, Pan, Yuanxin, Sturn, Tobias, Weinacker, Rudi, See, Linda, Crocetti, Laura, Awadaljeed, Mudathir, Rothacher, Markus, McCallum, Ian, Fritz, Steffen, Navarro, Vicente, Soja, Benedikt

Source: In Advances in Space Research 15 September 2024 74(6):2752-2770

Smartphone-based Vision/MEMS-IMU/GNSS tightly coupled seamless positioning using factor graph optimization

Authors: Pan, Cheng, Li, Zengke, Zhang, Qiuzhao, Soja, Benedikt, Gao, Jingxiang

Source: In Measurement April 2024 229

Real-time navigation solutions of low-cost off-the-shelf GNSS receivers on board the Astrocast constellation satellites

Authors: Müller, Lukas, Chen, Kangkang, Möller, Gregor, Rothacher, Markus, Soja, Benedikt, Lopez, Lola

Source: In Advances in Space Research 1 January 2024 73(1):2-19

Small Geodetic Datasets and Deep Networks: Attention-Based Residual LSTM Autoencoder Stacking for Geodetic Time Series
7th Machine learning, optimization, and data science international conference, LOD

Authors: Shahvandi, Mostafa Kiani, Soja, Benedikt

Source: Lecture notes in computer science. 13163:296-307

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN607392442&indx=1&recIds=ETOCCN607392442

High-resolution tropospheric refractivity fields by combining machine learning and collocation methods to correct earth observation data

Authors: Shehaj, Endrit, Miotti, Luca, Geiger, Alain, D'Aronco, Stefano, Wegner, Jan D., Moeller, Gregor, Soja, Benedikt, Rothacher, Markus

Source: Acta astronautica. 204:591-598

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCvdc_100184477968.0x000001&indx=1&recIds=ETOCvdc_100184477968.0x000001

Observations of radio sources near the Sun

Authors: Titov, Oleg, Lambert, Sebastien, Soja, Benedikt, Shu, Fengchun, Melnikov, Alexei, McCallum, Jamie, McCallum, Lucia, Schartner, Matthias, de Witt, Aletha, Ivanov, Dmitrii, Mikhailov, Andrei, Yi, Sang Oh, Chen, Wen, Xia, Bo, Ishigaki, Masafumi, Gulyaev, Sergei, Natusch, Tim, Weston, Stuart

Subject Terms: Astrophysics - Instrumentation and Methods for Astrophysics

Access URL: http://arxiv.org/abs/1908.00973

MPG-NET: A low-cost, multi-purpose GNSS co-location station network for environmental monitoring

Authors: Aichinger-Rosenberger, Matthias, Wolf, Alexander, Senn, Cornelius, Hohensinn, Roland, Glaner, Marcus Franz, Moeller, Gregor, Soja, Benedikt, Rothacher, Markus

Source: In Measurement July 2023 216

Testing General Relativity with geodetic VLBI: what profit from a single, specially designed experiment?

Authors: Titov, Oleg, Girdiuk, Anastasiia, Lambert, Sebastien, Lovell, Jim, McCallum, Jamie, Shabala, Stas, McCallum, Lucia, Mayer, David, Schartner, Matthias, de Witt, Aletta, Shu, Fengchun, Melnikov, Alexei, Ivanov, Dmitrii, Mikhailov, Andrei, Yi, Sangoh, Soja, Benedikt, Xia, Bo, Jiang, T

Source: A&A 618, A8 (2018)

Subject Terms: Astrophysics - Instrumentation and Methods for Astrophysics

Access URL: http://arxiv.org/abs/1806.11299

Data Fusion and Machine Learning for Innovative GNSS Science Use Cases
Institute of navigation satellite division (International technical meeting)

Authors: Navarro, Vicente, Grieco, Raffaella, Soja, Benedikt, Nugnes, Marco, Klopotek, Grzegorz, Tagliaferro, Giulio, See, Linda, Falzarano, Roberto, Weinacker, Rudolf, VenturaTraveset, Javier

Source: ION GPS/GNSS .... 34(4):2656-2669

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCCN607344678&indx=1&recIds=ETOCCN607344678