TY  - BOOK
AU  - Styp-Rekowski, Kevin
PY  - 2024
DA  - 2024//
TI  - Machine Learning calibration of satellite platform magnetometer data
PB  - Universität Rostock
CY  - Rostock
AB  - This research explores the evolution of Earth's magnetic field, emphasizing the importance of accurate data for analysis and prediction. The dissertation introduces a novel Machine Learning-based approach to enhance the calibration of platform magnetometers on non-dedicated satellites, addressing the challenges of their rough calibration. The methodology, applied to the GOCE and GRACE-FO missions, significantly improves data accuracy, enabling scientific application. This work increases data availability for geomagnetic studies and sets the stage for future applications in satellite missions.<eng>
UR  - https://purl.uni-rostock.de/rosdok/id00004838
UR  - https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00004838-8
UR  - https://d-nb.info/1369498756/34
UR  - https://doi.org/10.18453/rosdok_id00004838
DO  - 10.18453/rosdok_id00004838
LA  - English
N1  - vorgelegt von Kevin Marcel Styp-Rekowski
ID  - 1928701426
ER  -