The Chair of Space Geodesy faces the challenges and profits from the opportunities that come with “big data” in geodesy. We design and implement advanced machine learning techniques to automate the processing of GNSS and VLBI data, resulting in a faster availability and higher quality of geodetic products. Also, machine learning is applied in the large-scale analysis of GNSS time series to detect and investigate geophysical signals, inter alia related to hydrological and seismic events, as well as to severe weather events and ionospheric disturbances. Finally, we improve the predictions of several types of geodetic parameters by machine learning. In particular, we focus on determining future Earth orientation parameters, station coordinates and atmospheric parameters.
From the 10th to the 12th of September, we held our annual retreat, which this year took place in Wildhaus, nestled in the beautiful Toggenburg region.
Are you passionate about advancing research in space geodesy to tackle critical global challenges? Are you experienced in satellite gravimetry and eager to explore cutting-edge AI and machine learning technologies in this field?
