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BDS/GNSS for Earth Observation (Third Edition)

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

Deadline for manuscript submissions: 1 October 2025 | Viewed by 474

Special Issue Editors


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Guest Editor
School of Geology and Geomatics, Chang’an University, Xi'an 710054, China
Interests: Beidou/GNSS; satellite orbit determination and satellite geodesy

Special Issue Information

Dear Colleagues,

Over the past 20 years, GNSS has become a leading technology in Earth observation with strong applications, not only in conventional positioning, navigation and timing techniques, but also in integrated remote sensing solutions, such as typhoon monitoring, river water level changes, geological hazard warnings, low-altitude UAV navigation, and so on, due to its high performance, low cost, and availability at all times and in all weather conditions. After the excellent results of the first edition of the Special Issue “BDS/GNSS for Earth Observation” (with 34 papers submitted, 17 of which were accepted and published, constituting a 50% acceptance rate), and of the second edition (with 28 papers submitted, 13 of which were accepted and published, constituting a 46% acceptance rate), a new edition is herein proposed.

In this Special Issue, recent progress in the application of multi-GNSS in Earth observation are welcome for presentation and review, including BDS/GNSS methods for Earth observation, GNSS ionospheric modelling and space weather monitoring, GNSS navigation and positioning performance (e.g., GNSS-PPP and GNSS-NRTK), GNSS reflectometry, and GNSS meteorology and its applications. The aim of this Special Issue is to present the latest state-of-the-art findings, including, but not limited to, the following topics:

  • Theories and methods of multi-GNSS NRTK, PPP and PPP-RTK;
  • Analyzing errors, systematic effects and noise in GNSS solutions;
  • Troposphere and ionosphere observations, modeling, and assimilation from ground and space receivers;
  • GNSS-reflected signals and applications;
  • Geohazard observation and warning from GNSS;
  • Surface-loading GNSS observations relating to the atmosphere, hydrological issues and loading issues.

Prof. Dr. Gino Dardanelli
Dr. Chen Wang
Guest Editors

Manuscript Submission Information

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Keywords

  • GNSS
  • NRTK
  • PPP
  • geodesy
  • geohazards
  • GNSS meteorology
  • GNSS ionosphere
  • GNSS reflectometry
  • GNSS small satellite
  • GNSS for autonomous space navigation
  • GNSS in precision farming (PF)
  • GNSS interference detection

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Published Papers (1 paper)

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Research

28 pages, 10283 KiB  
Article
Multimodal Distribution of Positioning Errors in NRTK GNSS CORSs: A Case Study in Sicily (Italy)
by Antonino Maltese, Claudia Pipitone, Mario Mattia, Massimo Rossi, Valentina Bruno and Gino Dardanelli
Remote Sens. 2025, 17(14), 2452; https://doi.org/10.3390/rs17142452 - 15 Jul 2025
Viewed by 262
Abstract
In the last 20 years, NRTK GNSS CORS networks have been designed, developed, and employed in Sicily (Italy) for research purposes. Following a comprehensive description of the CORS networks in this region, this study aims to compare results obtained from multiple reference points [...] Read more.
In the last 20 years, NRTK GNSS CORS networks have been designed, developed, and employed in Sicily (Italy) for research purposes. Following a comprehensive description of the CORS networks in this region, this study aims to compare results obtained from multiple reference points with known coordinates. The analysis will not only account for the various CORS networks to which these points belong but also examine the different correction streams applied in NRTK surveys. The assumption of a normal distribution, which is often assumed for the positioning errors, is generally confirmed by applying the areal stream corrections (FKP, MAX, iMAX), but still, a multimodal distribution is evident when punctual corrections (Nearest and VRS) are applied. The representation of the results in a GIS environment allows for showing the different patterns for some differential correction streams. A statistical approach allowed confirming the trends of the different distribution frequencies of the residuals of the coordinates and quantifying separately the correlation with parameters involved in the analysis. The correlation retrieved is predominantly weak and very weak for all CORS, except for one of those analyzed, for which the correlation is moderate. The correlation became strong for the same CORS, if all parameters are included, for both planimetric and plano-altimetric components (r = 0.6 and r = 0.7, respectively). Full article
(This article belongs to the Special Issue BDS/GNSS for Earth Observation (Third Edition))
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