Scientific Outputs

Publications

• Crocetti, L., Schartner, M., Zus, F., Zhang, W., Moeller, G., Navarro, V., See, L., Schindler, K., Soja, B. Global, spatially explicit modelling of zenith wet delay with XGBoost. Journal of Geodesy. (submitted)
• See, L., Soja, B., Kłopotek, G., Sturn, T., Weinacker, R., Karanam, S., Georgieva, I., Pan, Y., Crocetti, L., Rothacher, M., Navarro, V., Fritz, S., McCallum, I. Collecting Volunteered Geographic Information from the Global Navigation Satellite System (GNSS). (accepted)
• Soja, B., Kłopotek, G., Pan, Y., Crocetti, L., Mao, S., Awadaljeed, M., Rothacher, M., See, L., Sturn, T., Weinacker, R., McCallum, I., Navarro V. Machine learning-based exploitation of crowdsourced GNSS data for atmospheric studies. 2023 IEEE International Geoscience and Remote Sensing Symposium IGARSS. (accepted)
• Kłopotek, G., Pan, Y., Crocetti, L., Awadaljeed, M., Rothacher, M., Sturn, T., Weinacker, R., See, L., McCallum, I., Navarro, V., Soja, B. (2023). Crowdsourcing GNSS Observations For Atmospheric Monitoring. In: Swiss National Report on the Geodetic Activities in the Years 2019 to 2023, J. Mueller-Gantenbein, E. Brockmann, U. Marti, M. Rothacher, B. Merminod (eds.), 128-130.
• Navarro, V., Grieco, R., Soja, B., Nugnes, M., Kłopotek, G., Tagliaferro, G., See, L., Falzarano, R., Halbheer, M., Ventura-Traveset, J. (2021). Data Fusion and Machine Learning for Innovative GNSS Science Use Cases. In: Proceedings of the 34th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2021), St. Louis, Missouri. September 2021, pp. 2656-2669. doi: 10.33012/2021.18115

Conference Presentations and Workshops

• Navarro, V., Soja, B., Nugnes, M., Kopotek, G., Tagliaferri, G., See, L., Falzarno, R., Halbheer, M., Ventura-Traveset, J. Data fusion and machine learning for innovative GNSS science use cases. ION GNSS+ 2021. 20-24 September 2021.
• Soja, B., Navarro, V., Klopotek, G., Rothacher, M., See, L., Sturn, T., Weinacker, R., McCallum, I. Atmospheric monitoring with GNSS IoT data fusion based on machine learning, AGU. 13-17 December 2021.
• Crocetti, L., Soja, B., Kłopotek, G., Awadaljeed, M., Pan, Y., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. CAMALIOT: Application of Machine Learning Technology for IoT Data Fusion, Women in Data Science Zürich Conference 2022, Rüschlikon, Switzerland. 6 May 2022, poster.
• See, L., Soja, B., Kłopotek, G., Awadaljeed, M., Crocetti, L., Pan, Y., Rothacher, M., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. The CAMALIOT project, FFG Informationsveranstaltung zu NAVISP, Vienna, Austria. 10 May 2022.
• Kłopotek, G., Soja, B., Crocetti, L., Awadaljeed, M., Pan, Y., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. CAMALIOT: Exploring Crowdsourced GNSS Observations at Scale for Atmospheric Monitoring Based on Machine Learning; Talk, 5th GNSS Raw Measurements Task Force Meeting, European Union Agency for the Space Programme (remote). 17 May 2022.
• Crocetti, L., Soja, B., Kłopotek, G., Awadaljeed, M., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. Using machine learning algorithms and meteorological data for the prediction of tropospheric parameters in space and time, EGU, Vienna, Austria. 23-27 May 2022.
• Kłopotek, G., Soja, B., , Awadaljeed, M., Crocetti, L., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. Total Electron Content Monitoring Complemented with Crowdsourced GNSS Observations, EGU, Vienna, Austria. 23-27 May 2022.
• Crocetti, L., Soja, B., Kłopotek, G., Awadaljeed, M., Rothacher, M., See, L., Weinacker, R., Sturn, T. Machine learning based modelling of tropospheric parameters with GNSS enhanced by meteorological data, ESA Living Planet Symposium 2022, Bonn, Germany. 23-27 May 2022.
• Crocetti, L., Soja, B., Kłopotek, G., Awadaljeed, M., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. Machine learning algorithms for global modelling of Zenith Wet Delay based on GNSS measurements and meteorological data, 1st Workshop on Data Science for GNSS Remote Sensing, Potsdam, Germany. 13-15 June 2022.
• Pan, Y., Kłopotek, G., Soja, B. Automatic selection of crowdsourced GNSS smartphone data for atmosphere sounding, 1st Workshop on Data Science for GNSS Remote Sensing, Potsdam, Germany. 13-15 June 2022.
• Kłopotek, G., Soja, B., Crocetti, L., Awadaljeed, M., Pan, Y., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. Exploring Crowdsourced GNSS Observations for Data Fusion with the Use of Machine Learning, 8th International Colloquium on Scientific and Fundamental Aspects of GNSS, Sofia, Bulgaria. 14-16 Sep 2022.
• Crocetti, L., Soja, B., Kłopotek, G., Pan, Y., Awadaljeed, M., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V. Application of machine learning to globally model tropospheric parameters. ECMWF–ESA Workshop on Machine Learning for Earth Observation and Prediction, Reading, UK. 14-17 Nov 2022.
• Awadaljeed, M., Kłopotek, G., Soja, B. Exploring SMOS Solar Flux Data for Data Fusion with Machine Learning in the CAMALIOT Project, 1st workshop on SMOS for Space Weather, ESA-ESRIN, Frascati, Italy. 14 Nov 2022.
• Soja, B., Navarro, V., Kłopotek, G., Pan, Y., Crocetti, L., Awadaljeed, M., Rothacher, M., See, L., Sturn, T., Weinacker, R., McCallum, I. Determination of atmospheric parameters from globally crowdsourced GNSS data. American Geophysical Union Fall Meeting 2022, Chicago IL, USA. 12-16 Dec 2022. doi: 10.3929/ethz-b-000590258
• Crocetti, L. Schartner, M., Schindler, K., Soja, B. Forecasting of tropospheric parameters using meteorological data and machine learning. European Geosciences Union General Assembly 2023, Vienna, Austria. 2023-04-23 – 2023-04-28; EGU23-3453
• Mao, S., Kłopotek, G., Awadaljeed, M., Soja, B. Machine learning for global modeling of the ionosphere based on multi-GNSS data. European Geosciences Union General Assembly 2023, Vienna, Austria. 2023-04-23 – 2023-04-28; EGU23-9260
• Pan, Y., Kłopotek, G., Rothacher, M., See, L., Weinacker, R., Sturn, T., McCallum, I., Navarro, V., Soja, B. Troposphere Monitoring Based on Crowdsourced Smartphone GNSS Data. European Geosciences Union General Assembly 2023, Vienna, Austria. 2023-04-23 – 2023-04-28; EGU23-5596