@Book{1928701426,
author="Styp-Rekowski, Kevin",
title="Machine Learning calibration of satellite platform magnetometer data",
year="2024",
address="Rostock",
abstract="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>",
school="Universit{\"a}t Rostock",
note="vorgelegt von Kevin Marcel Styp-Rekowski",
note="Enth{\"a}lt Zeitschriftenartikel",
note="GutachterInnen: Claudia Stolle (IAP K{\"u}hlungsborn) ; Odej Kao (TU Berlin) ; Alexander Grayver (Universit{\"a}t zu K{\"o}ln)",
note="Dissertation Universit{\"a}t Rostock 2024 Kumulative Dissertation",
doi="10.18453/rosdok_id00004838",
url="https://purl.uni-rostock.de/rosdok/id00004838",
url="https://nbn-resolving.org/urn:nbn:de:gbv:28-rosdok_id00004838-8",
url="https://d-nb.info/1369498756/34",
url="https://doi.org/10.18453/rosdok_id00004838",
language="English"
}