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Sensor Technologies for Ocean Environments: Impact Assessment, Monitoring and Protection—Second Edition

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

Deadline for manuscript submissions: 31 March 2026 | Viewed by 45

Special Issue Editor


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Guest Editor
Department of Physics, Gdynia Maritime University, 81-225 Gdynia, Poland
Interests: physics; oceanology; oils; environment protection; ocean optics; environmental impact assessment; environmental pollution; environmental management; environmental monitoring; water analysis
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Special Issue Information

Dear Colleagues,

Anthropogenic pressure, combined with fluctuations in the global climate, affects the functioning of the marine environment. It is important to take care of its health, and the related durability of its productivity. Information about the changes in biological, physical, and chemical parameters of marine areas resulting from their use is of great interest. The possibility of early detection of alien substances and energies in water masses is also important. In order to meet such needs, we require the improvement of sensors for environmental parameter changes, the creation of theoretical foundations for the functioning of sensors, as well as the automation of collecting, processing, and sharing information from sensor systems for use in national and global environmental management. In this Special Issue, original research articles and reviews are welcome.

Potential topics include, but are not limited to:

  • Materials dedicated to the construction of marine sensors;
  • Transmission of the signal from underwater sensors;
  • Autonomic sensors;
  • Sensing the sea surface dynamics;
  • Sensors for solar radiation in the seawater column;
  • Intelligent sensors for marine applications;
  • Machine learning in the development of sensor signals;
  • Sensing and identifying sound sources;
  • Multi-sensor data processing;
  • Spatially integrated sensing.

Prof. Dr. Zbigniew Otremba
Guest Editor

Manuscript Submission Information

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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

  • ocean health
  • weather parameters
  • climate change
  • detecting of marine pollution
  • marine large scale constructions
  • alien energies and substances

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Published Papers (1 paper)

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Research

20 pages, 3117 KiB  
Article
Detection and Mitigation of GNSS Gross Errors Utilizing the CEEMD and IQR Methods to Determine Sea Surface Height Using GNSS Buoys
by Jin Wang, Shiwei Yan, Rui Tu and Pengfei Zhang
Sensors 2025, 25(9), 2863; https://doi.org/10.3390/s25092863 (registering DOI) - 30 Apr 2025
Abstract
Determining the sea surface height using Global Navigation Satellite System (GNSS) buoys is an important method for satellite altimetry calibration. The buoys observe the absolute height of the sea surface using GNSS positioning technology, which is then used to correct the systematic deviation [...] Read more.
Determining the sea surface height using Global Navigation Satellite System (GNSS) buoys is an important method for satellite altimetry calibration. The buoys observe the absolute height of the sea surface using GNSS positioning technology, which is then used to correct the systematic deviation of the altimeter of the orbiting satellite. Due to the challenging observational conditions, such as significant multipath errors in GNSS code observation and complex variations in buoy position and attitude, gross errors in GNSS buoy positioning reduce the accuracy and stability of the calculated sea surface heights. To accurately detect and remove these gross errors from GNSS coordinate time series, the complementary ensemble empirical mode decomposition (CEEMD) method and the interquartile range (IQR) method were adopted to enhance the accuracy and stability of GNSS sea surface altimetry. Firstly, the raw GNSS sequential coordinate series are decomposed into main terms, such as trend contents and periodic contents, and high-frequency noise terms using the CEEMD method. Subsequently, the high-frequency noise terms of the GNSS coordinate series are regarded as the residual sequences, which are used to detect gross errors using the IQR method. This approach, which integrates the CEEMD and IQR methods, was named CEEMD-IQR and enhances the ability of the traditional IQR method to detect subtle gross errors in GNSS coordinate time series. The results indicated that the CEEMD-IQR method effectively detected gross errors in offshore GNSS coordinate time series using GNSS buoys, presenting a significant enhancement in the gross error detection rate of at least 35.3% and providing a “clean” time series for sea level measurements. The resulting GNSS sea surface altimetry accuracy was found to be better than 1.51 cm. Full article
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