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The Use of Artificial Intelligence in Enhancing Navigation Safety in Case of GNSS Signal Fading or Interference [PDF]
TransNavGlobal Navigation Satellite Systems (GNSS) play a key role in modern navigation and transportation service delivery. Today it is difficult to imagine the daily operation of land, sea or air transportation without the positioning and timing provided by ...
Marcin Chrzan
doaj +1 more source
Geodesy and Geodynamics, 2023 The space constellation of the BeiDou navigation satellite system (BDS) is a hybrid constellation containing medium earth orbit (MEO) satellites, geostationary earth orbit (GEO) satellites, and inclined geosynchronous orbit (IGSO) satellites.
Jingjing Wang, Chao Zhou, Zhixuan Sun
doaj +1 more source
Global Ionospheric Responses to Four X‐Class Solar Flares in November 2025
Space Weather, Volume 24, Issue 11, November 2026.Abstract We investigate global ionospheric responses to four X‐class solar‐disk flares that occurred in November 2025 from the same solar active region, using multi‐instrument observations including GNSS, ionosonde, geomagnetic and GOES solar irradiance data. Pronounced dayside TEC enhancements are observed for three flares (#2 X1.2, #3 X5.1, and #4 X4.
Lei Liu, Shasha Zou
wiley +1 more source
GNSS Satellite Orbit Validation Using Satellite Laser Ranging [PDF]
, 2013 With a total of four new regional and global navigation sa tellite systems that have launched first satellites or even started an operational serv ice, the GNSS landscape has experienced major changes in recent years.
Steigenberger, Peter +2 more
core
Deep Learning Based Detector YOLOv5 for Identifying Insect Pests
Applied Sciences, 2022 Insect pests are a major element influencing agricultural production. According to the Food and Agriculture Organization (FAO), an estimated 20–40% of pest damage occurs each year, which reduces global production and becomes a major challenge to crop ...
Iftikhar Ahmad +7 more
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Role of Unbalanced Jet Streak Circulations in East Asian Dust Storms
Journal of Geophysical Research: Atmospheres, Volume 131, Issue 19, 16 October 2026.Abstract A mesoscale study of three severe dust storms over China and Mongolia was conducted using observational and high‐ resolution numerical model data sets. The analysis of these data indicates many commonalities among the three case studies, (a) precursor wind flow across the mountain creating a strong statically stable layer in the lee of the ...
Ashok Kumar Pokharel, Michael L. Kaplan
wiley +1 more source
LSOS: An FG Position Method Based on Group Phase Ranging Ambiguity Estimation of BeiDou Pseudolite
Remote Sensing, 2023 Due to the influence of indoor space environments, the carrier phase information obtained by the BeiDou pseudo-satellite often has the issue of cycle slips, which makes the user unable to carry out high-precision positioning.
Heng Zhang, Shuguo Pan
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A Data‐Driven Review of Geoscience Research Evolution Using SciBERT‐Based Topic and Network Analysis
Geoscience Data Journal, Volume 13, Issue 4, October 2026.This review synthesises the evolution of global geoscience research from 2004 to 2023 using large‐scale bibliometric evidence. By combining keyword co‐occurrence network analysis with SciBERT‐based topic modelling, it identifies major paradigm transitions from geology‐centred research to climate‐focused studies and recent data‐ and AI‐driven ...
Sooyeon Han, Ju‐seop Kim
wiley +1 more source
Earth and Space Science, Volume 13, Issue 10, October 2026.Abstract This study explores the relative impact of two orbital configurations for Global Navigation Satellite System radio occultation (RO) observations in numerical weather prediction using observing system simulation experiments (OSSE). Three experiments are carried out: a Control experiment with no RO observations and two experiments with 14,000 RO
Nikki C. Privé +6 more
wiley +1 more source