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Remote Sensing
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Advances in Multi-GNSS Technology and Applications (2nd Edition)
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Advances in Multi-GNSS Technology and Applications (2nd Edition)

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

Deadline for manuscript submissions: 31 October 2026 | Viewed by 1064

Special Issue Editors

Dr. Bobin Cui

E-Mail Website
Guest Editor
College of Geological Engineering and Geomatics, Chang’an University, Xi’an 710054, China
Interests: GNSS; PPP-RTK; atmosphere modeling; signal biases; ambiguity resolution
Special Issues, Collections and Topics in MDPI journals
Dr. Jungang Wang

E-Mail Website
Guest Editor
Faculty VI-Planning Building Environment, Technische Universität Berlin, 10623 Berlin, Germany
Interests: space geodetic techniques; global navigation satellite systems; atmospheric delay modeling; precise orbit determination
Special Issues, Collections and Topics in MDPI journals
Dr. Le Wang

E-Mail Website
Guest Editor
College of Geology Engineering and Geomatics, Chang’an University, 126 Yanta Road, Xi’an, China
Interests: gnss; glonass

Special Issue Information

Dear Colleagues,

The global navigation satellite system (GNSS) comprises four primary global systems—GPS, GLONASS, Galileo, and BDS—as well as two regional systems, QZSS and IRNSS. The fusion of Multi-GNSS into various devices and services unlocks new opportunities and challenges, necessitating the adoption of advanced methodologies from the fields of high-precision navigation and geoscience. This integration enhances signal geometry, ensures redundancy, and extends coverage, especially in challenging environments. Algorithmic progress is crucial for leveraging these opportunities and overcoming challenges to improve the precision, availability, interoperability, and integrity of practical GNSS applications. Multi-GNSS plays a vital role in facilitating cutting-edge applications that demand high-precision navigation, such as autonomous vehicles and disaster management, and for maintaining reliable services essential to safety-critical operations. Moreover, it promotes international cooperation, aids in establishing global standards, and propels the evolution of satellite navigation technology, leading to a more interconnected and informed world.

This Special Issue of Remote Sensing (ISSN 2072-4292), 'Advances in Multi-GNSS Technology and Applications (2nd Edition)', focuses on the expanding realm of global navigation satellite systems (GNSS), which present both opportunities and challenges in delivering reliable position, navigation, and timing solutions crucial for modern human endeavors. We welcome submissions covering GNSS receivers, positioning algorithms, contemporary applications, and the development of software tools for data collection and processing, along with their applications in diverse fields. This Special Issue seeks to foster dialog and collaboration in advancing the understanding and utilization of Multi-GNSS technology across disciplines.

Contributions may include original research articles, reviews, case studies, and technical notes that provide insights into the current state of the art and future directions in the field of Multi-GNSS technology and its diverse applications.
Articles may address, but are not limited, to the following topics:

  • Multi-GNSS techniques, algorithms, and methodologies;
  • High-precision GNSS methods;
  • New methods for atmospheric modeling and their applications;
  • Advances in GNSS signal processing and theoretical modeling;
  • Multi-sensor application;
  • Next-generation signal design for navigation purposes;
  • GNSS signal processing, positioning, navigation, and timing;
  • GNSS integrity monitoring, interference mitigation, and novel applications.

Dr. Bobin Cui
Dr. Jungang Wang
Dr. Le Wang
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 250 words) can be sent to the Editorial Office for assessment.

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

  • multi-GNSS
  • multi-sensors
  • positioning, navigation, and timing service
  • GNSS integrity monitoring
  • GNSS signal processing
  • multi-technique integration

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

18 pages, 20956 KB  
Article
Global Ensemble Learning-Based Refined Models for VMF1-FC Forecasted Weighted Mean Temperature
by Liying Cao, Jizhang Sang, Feijuan Li and Bao Zhang
Remote Sens. 2026, 18(9), 1315; https://doi.org/10.3390/rs18091315 - 25 Apr 2026
Viewed by 303
Abstract
Accurately forecasting the weighted mean temperature (Tm) is critical for converting the zenith wet delay (ZWD) into global navigation satellite system (GNSS)-based precipitable water vapor (PWV) for real-time sensing and forecasting applications. The forecast Vienna Mapping Function 1 (VMF1-FC) is a global forecast [...] Read more.
Accurately forecasting the weighted mean temperature (Tm) is critical for converting the zenith wet delay (ZWD) into global navigation satellite system (GNSS)-based precipitable water vapor (PWV) for real-time sensing and forecasting applications. The forecast Vienna Mapping Function 1 (VMF1-FC) is a global forecast product developed by TU Wien based on numerical weather prediction models and can provide grid-wise Tm one day ahead. In this study, we evaluate the accuracy of VMF1-FC-forecasted Tm using observations from 319 global radiosonde (RS) sites during 2019–2021. The results indicate that VMF1-FC-forecasted Tm shows a relatively low RMSE but a relatively large bias (0.75 K) relative to the widely used Global Pressure and Temperature 3 (GPT3) model. To improve the accuracy of VMF1-FC-forecasted Tm, three refined models, XTm, LTm, and CTm, are developed using Extreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Categorical Boosting (CatBoost), respectively, based on observations from 319 RS sites. The models use longitude, latitude, ellipsoidal height, floating day of year (fdoy), and VMF1-FC Tm as input features, and RS Tm as the target variable. Validation using RS data from 2022 that are not involved in model development shows that the refined models significantly reduce bias, with biases of 0 K, 0 K, and −0.03 K for XTm, LTm, and CTm, respectively. Benefiting from the effective reduction in bias, the root mean square error (RMSE) is correspondingly reduced. The RMSEs of XTm, LTm, and CTm are 1.45 K, 1.45 K, and 1.46 K, respectively, achieving improvements of 18.50%/64.93%, 18.44%/64.91%, and 18.11%/64.76% compared with the VMF1-FC and GPT3 models. In addition, three refined models demonstrate higher accuracy and improve stability across different latitude bands, ellipsoidal height ranges, and temporal scales. The refined models provide more accurate global-scale Tm and offer strong potential for GNSS meteorological applications, particularly real-time GNSS-based PWV sensing and weather forecasting. Full article
(This article belongs to the Special Issue Advances in Multi-GNSS Technology and Applications (2nd Edition))
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20 pages, 6049 KB  
Article
Under Construction Reclamation Airport Deformation Monitoring Using Sequential Multi-Polarization Time-Series InSAR
by Xiaying Wang, Yuexin Lu, Dongping Zhao, Shuangcheng Zhang, Yantian Xu, Shouzhou Gu, Jiaxing Fu and Ruiyi Wei
Remote Sens. 2026, 18(9), 1304; https://doi.org/10.3390/rs18091304 - 24 Apr 2026
Viewed by 324
Abstract
Monitoring surface deformation at reclaimed airports under construction is crucial for ensuring construction safety. However, significant variations in surface scattering characteristics cause severe decorrelation, limiting the effectiveness of conventional single-polarization Interferometric Synthetic Aperture Radar (InSAR). To address the issue of insufficient coherent pixels, [...] Read more.
Monitoring surface deformation at reclaimed airports under construction is crucial for ensuring construction safety. However, significant variations in surface scattering characteristics cause severe decorrelation, limiting the effectiveness of conventional single-polarization Interferometric Synthetic Aperture Radar (InSAR). To address the issue of insufficient coherent pixels, we propose a dual-polarization sequential InSAR technique and compare its performance with traditional Persistent Scatterer Interferometry (PSI) and Distributed Scatterer Interferometry (DSI) at the Dalian Jinzhou Bay International Airport (DJBIA). Using 89 Sentinel-1A dual-polarization (VV-VH) images (August 2022 to October 2025), the results demonstrate that VV and VH polarizations exhibit significant spatial complementarity, highlighting the necessity of multi-polarization data. Further, to address the issue of long-term changes in scattering characteristics, we applied the Sequential Estimation and Total Power-Enhanced Expectation Maximization Inversion (SETP-EMI) method, which dynamically integrates dual-polarization information and performs adaptive phase optimization. This approach significantly enhances monitoring capability in low-coherence areas of the airport under construction, effectively suppressing phase noise, improving interferogram quality, and yielding a more complete and reliable deformation field. Overall, this study systematically validates the SETP-EMI method with dual-polarization information for deformation monitoring at reclaimed airports under construction, providing technical support for engineering safety control and research on reclamation subsidence mechanisms. Full article
(This article belongs to the Special Issue Advances in Multi-GNSS Technology and Applications (2nd Edition))
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