SMOS satellite hardware anomaly prediction methods based on Earth radiation environment data sets

• Main Author: Walden, Aleksi
• Format: Others
• Language: English
• Published: Luleå tekniska universitet, Rymdteknik 2016
• Subjects: SMOS; Soil Moisture and Ocean Salinity; satellite; MIRAS; Microwave Imaging Radiometer with Aperture Synthesis; ESAC; hardware anomaly; prediction; radiation environment
• Online Access: http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-59789

SMOS (Soil Moisture and Ocean Salinity) is ESA's Earth Explorer series satellite carrying the novel MIRAS (Microwave Imaging Radiometer with Aperture Synthesis) interferometric synthetic aperture radar. Its objective is monitoring and studying the planet's water cycle by following the changes in soil moisture levels and ocean surface salt concentrations on a global scale. The success of the mission calls for nearly uninterrupted operation of the science payload. However, the instrument experiences sporadically problems with its hardware, which cause losses of scientific data and may require intervention from ground to resolve. The geographical areas in which most of these anomalies occur, polar regions and the South-Atlantic anomaly, give cause to assume these problems are caused by charged particles in the planet's ionosphere. In this thesis, methods of predicting occurrence of hardware anomalies from indicators of Earth radiation environment are investigated.