Applications of Remote Sensing in Ionosphere Observation
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Remote Sensors".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 132
Special Issue Editor
Interests: space weather; ionosphere; magnetosphere; satellite geodesy; LOFAR
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the use of remote sensing tools has revolutionized our understanding of the ionosphere, allowing for more precise measurements and continuous monitoring of its dynamics. These tools include satellite-based sensors, ground-based radar systems, GPS/GNSS networks, and radio occultation methods. This Special Issue seeks original research articles, reviews, and case studies that discuss the development, application, and outcomes of these tools in ionospheric science. The main topics of interest are:
- Advances in satellite and radar measurements of the ionosphere.
- Integration of multiple remote sensing datasets for ionospheric monitoring.
- Machine learning and data-driven approaches in ionospheric observation.
- Impact assessment of ionospheric disturbances on GPS/GNSS signals.
- Novel remote sensing technologies and their validation for ionospheric studies.
This Special Issue aims to highlight the recent advances and innovative applications of remote sensing technologies in the observation and analysis of the ionosphere. We invite researchers from across disciplines such as geophysics, space science, electrical engineering, and computer science to contribute their work. Interdisciplinary studies that involve the integration of different observational methods or that propose new models for ionospheric prediction and analysis are especially welcome.
With the ever-growing impact of ionospheric variability on terrestrial and space weather, as well as on communication and navigation systems, it is crucial to foster research that pushes the boundaries of current methodologies and introduces novel remote sensing techniques. We therefore look forward to receiving your contributions and sharing the latest research developments in this critical field of space science and technology.
Prof. Dr. Andrzej Krankowski
Guest Editor
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Keywords
- space weather
- ionosphere
- TEC
- machine learning
- GNSS
- radio occultations
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