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Multi-GNSS Positioning in Remote Sensing Applications
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Multi-GNSS Positioning in Remote Sensing Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".

Deadline for manuscript submissions: closed (20 June 2022) | Viewed by 1915

Special Issue Editor

Dr. Sandra Verhagen

E-Mail Website
Guest Editor
Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 TU Delft, The Netherlands
Interests: Global Navigation Satellite Systems (GNSS); precise positioning; integer ambiguity resolution (LAMBDA); quality control; formation flying and attitude determination; hydrographic surveying
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Using GNSS observables for remote sensing applications is attractive due to their continuous and global availability in near real-time. This Special Issue is on the use of multi-GNSS for applications in hydrology and vegetation monitoring, atmospheric sensing, cryosphere and ocean sensing, geohazard and deformation monitoring, and animal tracking.

Contributions are invited that present innovative signal and data processing methods, error modelling, and novel applications. In addition, submissions may focus on new mission concepts for GNSS reflectometry or radio occultation, as well as combination with other sensors.

Dr. Sandra Verhagen
Guest Editor

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. Sensors 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 2600 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
  • atmospheric sensing
  • reflectometry
  • radio occultation

Published Papers (1 paper)

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Research

15 pages, 5482 KiB  
Article
Assessment of ZTD Derived from COSMIC Occultation Data with ECWMF, Radiosondes, and GNSS
by Naifeng Fu, Mingbo Jiang, Fenghui Li, Peng Guo, Chunping Hou, Mengjie Wu, Jianming Wu, Zhipeng Wang and Liang Kan
Sensors 2022, 22(14), 5209; https://doi.org/10.3390/s22145209 - 12 Jul 2022
Cited by 2 | Viewed by 1557
Abstract
Global Navigation Satellite System (GNSS) signals generate slant tropospheric delays when they pass through the atmosphere, which is recognized as the main source of error in many spatial geodetic applications. The zenith tropospheric delay (ZTD) derived from radio occultation data is of great [...] Read more.
Global Navigation Satellite System (GNSS) signals generate slant tropospheric delays when they pass through the atmosphere, which is recognized as the main source of error in many spatial geodetic applications. The zenith tropospheric delay (ZTD) derived from radio occultation data is of great significance to atmospheric research and meteorology and needs to be assessed in the use of precision positioning. Based on the atmPrf, sonPrf, and echPrf data from the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) Data Analysis and Archiving Center (CDAAC) from 1 January to 31 December 2008 and 2012, we obtained the ZTDs of the radio occultation data (occZTD) and the corresponding radiosonde (sonZTD) and ECWMF data (echZTD). The ZTDs derived from ground-based global positioning system (GPS) observations from the International GNSS Service (IGS) were corrected to the lowest tangent point height of the matched radio occultation profile by the barometric height formula (gnsZTD). The statistical results show that the absolute values of the bias between occZTD and echZTD, sonZTD, or gnsZTD are less than 5 mm, and the standard deviations are approximately 20 mm or less, indicating that occZTD had significant accuracy in the GNSS positioning model even when the local spherical symmetry assumption error was introduced when the Abel inversion algorithm was used to obtain the refractive index profile of atmPrf. The effects of the horizontal/vertical matching resolution and the variation in the station height/latitude on the biases of occZTD and gnsZTD were analyzed. The results can be used to quantify the performance of radio occultation data for tropospheric delay error correction in dynamic high-precision positioning. Full article
(This article belongs to the Special Issue Multi-GNSS Positioning in Remote Sensing Applications)
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