Meteorological Satellites Data Analysis
A special issue of Aerospace (ISSN 2226-4310). This special issue belongs to the section "Astronautics & Space Science".
Deadline for manuscript submissions: closed (20 February 2024) | Viewed by 9909
Special Issue Editor
Interests: calibration and validation; satellite data quality assessment; instrument performance and data quality monitoring; satellite climate dataset
Special Issue Information
Dear Colleagues,
Environmental satellites provide valuable data for the environment, the economy, and human life, and meteorological satellites have played an important role in global climate, environment and weather, especially in numerical weather prediction (NWP) and climate monitoring fields. Satellite data applications have increasing requirements for data timeliness, continuity and quality. The health status of the satellite platform and instruments on board is critical to the robust operational operation of satellite ground segments. The quality of the satellite science data, especially sensor data record products, is also the prerequisite for remote sensing applications. To meet the application requirements and ensure reliable satellite data products operationally, satellite agencies and researchers have been working on methodologies based on satellite data analysis and modeling and implementing them into the practice of satellite monitoring operation and maintenance as an important part of the satellite data ground processing system. This Special Issue is focused on recent advances and efforts in in-orbit monitoring, analysis and diagnosis of satellite health status, instrument performance, and satellite science data quality, including the methods, techniques, and systems, with a special interest in meteorological satellites.
Prof. Dr. Ling Sun
Guest Editor
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Keywords
- telemetry data time series analysis
- anomaly diagnosis
- satellite health assessment
- calibration and validation
- instrument performance analysis
- satellite data quality analysis and improvement
- in-orbit monitoring and assurance
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