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Ionospheric Observations and Modelling with Multi-source Remote Sensing Data and Its Application in Navigation and Positioning Technology

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Engineering Remote Sensing".

Deadline for manuscript submissions: closed (30 September 2024) | Viewed by 1912

Special Issue Editors

State Key Laboratory of Geodesy and Earth’s Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan 430077, China
Interests: BDS/GNSS ionospheric precision monitoring, modeling and application; GNSS code bias determination and GNSS precision positioning
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Guest Editor Assistant
College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
Interests: GNSS space environment (ionosphere, troposphere); GNSS navigation and positioning; GNSS measurement data processing; modern measurement error theory; Beidou/GNSS reflectometry

Special Issue Information

Dear Colleagues,

Ionospheric delay is one of the most significant error sources affecting GNSS positioning, navigation, and timing (PNT) performance. In recent years, with the rapid development of the low Earth orbit (LEO) satellites and multi-GNSS satellite systems (GPS, GLONASS, Galileo, and BDS), the increasing amount and quality of multi-frequency and multi-GNSS data have created new opportunities for ionospheric research. As relevant users have higher requirements for PNT services, especially under abnormal ionospheric activity conditions, knowing how to provide stable, real-time, and reliable ionospheric delay correction service or real-time accurate ionospheric anomaly monitoring and early warning service is one of the most important challenges facing GNSS. Therefore, this Special Issue mainly focuses on the theory, technology, and application of ionospheric monitoring with multi-source remote sensing data and the delay correction of multi-GNSS. The scope includes (but is not limited to) the following aspects:

  • Novel methods used for multi-source ionospheric data collection, processing, and analysis;
  • Ionospheric effects on GNSS;
  • GNSS ionospheric structure inversion, space weather, and environment variations;
  • Real-time ionospheric total electron content and electron density modeling and monitoring;
  • Ionospheric corrections in high-accuracy GNSS positioning;
  • Multi-GNSS and multi-frequency signal biases determination;
  • Ionospheric anomalous (disturbances or scintillation) studies and impacts on GNSS services and applications;
  • Ionospheric disturbances caused by natural hazards, including earthquakes, volcanic eruptions, and tsunamis;
  • GNSS ionospheric applications in geoscience.

Dr. Min Li
Guest Editors

Dr. Qi Liu
Guest Editor Assistant

Manuscript Submission Information

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Keywords

  • GNSS ground- and space-based observations
  • real-time
  • ionospheric total electron content
  • ionospheric corrections
  • high-accuracy gnss positioning
  • ionospheric disturbances
  • ionospheric scintillation
  • signal bias determination

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Published Papers (1 paper)

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Research

25 pages, 8329 KiB  
Article
Global Ionospheric Response During Extreme Geomagnetic Storm in May 2024
by Rumiana Bojilova, Plamen Mukhtarov and Dora Pancheva
Remote Sens. 2024, 16(21), 4046; https://doi.org/10.3390/rs16214046 - 30 Oct 2024
Cited by 5 | Viewed by 1593
Abstract
The main idea of the present study is to investigate in detail the time evolution of the spatial inhomogeneities connected with the ionospheric response to the geomagnetic storm registered in the period of 10–11 May 2024. The obtained ionospheric anomalies represented by the [...] Read more.
The main idea of the present study is to investigate in detail the time evolution of the spatial inhomogeneities connected with the ionospheric response to the geomagnetic storm registered in the period of 10–11 May 2024. The obtained ionospheric anomalies represented by the relative deviations of the global Total Electron Content (TEC) data have been utilized in the analysis. The used global TEC data have been converted to a coordinate system with a modip latitude and geographical longitude. In addition to the maps illustrating the global spatial distribution of the geomagnetically forced ionospheric anomalies, a presentation of the observed longitudinal structures by sinusoidal approximation has also been used. The resulting positive and negative responses have been studied depending on the magnetic latitude, local times and the behavior of the geomagnetic activity parameters during the considered event. The interpretation takes into account the known mechanisms for the effect of the geomagnetic storm on the electron density. A special attention is focused on the differences in the two hemispheres at high and mid latitudes, where a simultaneous direct impact of the particle precipitation and the change in the temperature regime of the neutral atmosphere has been assumed. The low-latitude response as a result of the Equatorial Ionization Anomaly (EIA) associated with Disturbed Dynamo Electric Fields (DDEFs) and its relationship with local time has also been considered. Full article
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