Advances in GNSS Remote Sensing for Ionosphere Observation
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".
Deadline for manuscript submissions: 31 March 2025 | Viewed by 303
Special Issue Editors
Interests: space weather; ionospheric modeling; ionospheric disturbances
Interests: GNSS remote sensing; ionospheric scintillation
Special Issues, Collections and Topics in MDPI journals
Interests: GNSS ionospheric tomography; ionospheric disturbances
Interests: ionospheric irregularities and disturbances; GNSS precise positioning
Interests: machine learning; space weather; uncertainty quantification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The ionosphere plays a critical role in Earth's atmospheric dynamics, significantly influencing satellite communication, GPS systems, and radio wave propagation. Understanding its characteristics in complex space environments is crucial for both theoretical advancements and practical applications. This Special Issue focuses on recent developments in remote sensing technologies and methodologies used to observe and study the ionosphere, highlighting advancements in both ground-based and space-based tools, such as ionosondes, GPS-based total electron content (TEC) measurements, and satellite missions that improve the accuracy of ionospheric monitoring.
This collection of studies marks a major step forward in understanding the ionosphere's complex processes, contributing to more reliable space weather forecasting models and enhancing the performance of communication and navigation systems. Suggested themes for submissions include, but are not limited to, the integration of multi-source data for comprehensive ionospheric modeling, new algorithms for detecting ionospheric irregularities, and the application of advanced signal processing techniques. The issue also examines the effects of space weather on ionospheric disturbances, offering insights into how solar activity and geomagnetic storms impact the ionosphere.
This Special Issue invites original research articles, reviews, methodologies, and case studies that showcase innovative approaches, novel findings, and practical applications in ionospheric research.
Dr. Wang Li
Dr. Dongsheng Zhao
Dr. Dunyong Zheng
Dr. Long Tang
Dr. Andong Hu
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
- deep learning
- ionospheric modeling
- space weather
- ionospheric disturbances
- ionospheric scintillation
- lithosphere-ionosphere coupling
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