Geodetic Prediction Center

Developed and maintained by the Chair of Space Geodesy, ETH Zurich

With the increasing volume of geodetic data, new mathematical models have the potential to exploit the data for scientific purposes. These mathematical models are based on big data processing algorithms that are typical in the fields of data science and machine learning. At the Geodetic Prediction Center (GPC), we mainly focus on applying advanced machine learning and deep learning algorithms to predict essential geodetic parameters, such as the Earth Orientation Parameters (EOP), GNSS station coordinates, and tropospheric parameters.

Reference

If you use any of the products provided on GPC, please add this reference:

[1] Soja, B., Kiani Shahvandi, M., Schartner, M., Gou, J., Kłopotek, G., Crocetti, L., and Awadaljeed, M. (2022): The New Geodetic Prediction Center at ETH Zurich, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-9285. https://doi.org/10.5194/egusphere-egu22-9285

And also the corresponding references to the specific product.