Satellite Measurements and the Monitoring of Ionosphere and Space Weather (Second Edition)
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 39
Special Issue Editors
Interests: Beidou/remote sensing satellite intelligent algorithm; unmanned system; disaster intelligent monitoring and warning
Interests: space weather; ionospheric modeling; ionospheric disturbances
Special Issues, Collections and Topics in MDPI journals
Interests: GNSS ionosphere remote sensing; machine learning applications in space weather
Special Issues, Collections and Topics in MDPI journals
Interests: GNSS remote sensing; ionospheric scintillation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Spatiotemporal variations in ionospheric electron density significantly degrade satellite navigation positioning accuracy through periodic tidal fluctuations and transient disturbances. These phenomena cause GNSS signal propagation delays and carrier-phase scintillation. Solar flare-induced sudden ionospheric disturbances (SIDs) and global ionospheric events during geomagnetic storms can trigger meter-level positioning errors, while intensified near-real-time space particle radiation threatens the payload safety of low-Earth-orbit (LEO) satellites. This Special Issue focuses on recent advances in ionospheric modeling, emphasizing separation techniques for ionospheric disturbance signals and their spatiotemporal evolution characteristics under extreme space weather events.
This collection of studies aims to advance our understanding of the ionosphere’s intricate dynamics, strengthening the development of robust space weather forecasting models and improving the resilience of satellite-based communication and navigation systems. We encourage submissions to address themes such as multi-source data integration for refined ionospheric modeling, the development of novel algorithms to identify ionospheric irregularities, the use of advanced signal processing techniques to mitigate propagation anomalies, and reductions in positioning accuracy under severe space events. We specifically aim to investigate space weather’s role in driving ionospheric disturbances, as well as the TIDs triggered by natural disasters, including earthquakes, volcano eruptions, typhoons, etc. By elucidating these mechanisms, this research provides critical insights for predicting and compensating ionospheric impacts on global positioning accuracy during extreme space weather events.
This Special Issue invites the submission of original research articles, reviews, methodologies, and case studies that showcase innovative approaches, novel findings, and practical applications in ionospheric research.
Prof. Dr. Fuyang Ke
Dr. Wang Li
Dr. Lei Liu
Dr. Dongsheng Zhao
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- ionospheric modeling
- deep learning
- ionospheric disturbance
- ionospheric tomography
- severe space event
- ionospheric scintillation
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