remotesensing-logo

Journal Browser

Journal Browser

Applications of Remote Sensing in Oceanography: Prospects and Challenges (3rd Edition)

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

Deadline for manuscript submissions: 28 February 2025 | Viewed by 982

Special Issue Editors


E-Mail Website
Guest Editor
Oceanic Modeling and Observation Laboratory, Nanjing University of Information Science and Technology, Nanjing 210044, China
Interests: oceanic eddy; front; sea surface wind; wave; current; altimeter; turbulence
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA 70803, USA
Interests: physical oceanography; transport processes; sediment transport; flushing of bays; coastal and estuarine circulations; innovative observations; modeling of coastal ocean processes; weather induced oceanographic and estuarine response and impact to the coast; storm surges; cold front induced oceanic and coastal processes; arctic estuarine dynamics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
Interests: oceanographic techniques; remote sensing; atmospheric boundary layer; backscatter;
Special Issues, Collections and Topics in MDPI journals
Institute of Ocean Sciences, Fisheries and Oceans Canada, Sidney BC V8L 5T5, Canada
Interests: ocean circulation; numerical modeling; satellite oceanography; ocean climate variability and change
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Remote sensing provides several advantages over in situ measurements, such as the ability to provide measurements of the ocean over a large spatial range at high temporal resolutions but for a significantly reduced cost. Indeed, with the development and launch of a new generation of satellite platforms and their sensors, exciting avenues in the marine sciences are being opened at a rapid pace. Nevertheless, numerous challenges and unsolved problems related to the development of remote sensing applications within oceanography remain. This Special Issue seeks to explore the current state of the art, future developments, and open questions of the applications of remote sensing in oceanography. Authors are encouraged to provide submissions covering all aspects of ocean remote sensing, ranging from observation techniques used in high-frequency coastal radar or satellite studies to new applications of artificial intelligence methods for pre- and post-processing remotely sensed data. Review articles are also welcomed, on the condition that they are authoritative. Submissions that contribute towards the United Nations’ Decade of Ocean Science for Sustainable Development (2021–2030), Sustainable Development Goals, and Small Island Developing States and those that consider the Blue Economy are especially welcomed. Articles related to the following topics are invited for submission:

  • Innovative or improved methods and algorithms of remote sensing for oceanography applications.
  • Observations using drone/unmanned aircraft system (UAS) imagery, high-frequency coastal radar, airborne LiDAR, and satellites.
  • Applications of artificial intelligence for pre- and post-processing remotely sensed data.
  • Advances in big data management including the exploitation of cloud platforms for marine studies.
  • Climate and anthropogenic influence on marine systems.
  • Marine pollution and water quality monitoring.
  • Detection and monitoring of ocean circulations, wave properties, ocean temperatures, and sea ice mapping.
  • Coastal applications such as tracking shoreline changes, nearshore topography mapping, erosion assessment, and sediment transport.
  • Integration of remote sensing data with in situ measurements or numerical ocean modeling for data assimilation.
  • Research works related to the Surface Water and Ocean Topography (SWOT) mission.

Prof. Dr. Changming Dong
Prof. Dr. Chunyan Li
Prof. Dr. Jingsong Yang
Dr. Guoqi Han
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 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. 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

  • SWOT
  • artificial intelligence
  • big remotely sensed data
  • sustainability
  • climate change
  • ocean numerical modeling
  • data assimilation

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Related Special Issue

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

21 pages, 9198 KiB  
Article
Estimating Vertical Distribution of Total Suspended Matter in Coastal Waters Using Remote-Sensing Approaches
by Hailong Zhang, Xin Ren, Shengqiang Wang, Xiaofan Li, Deyong Sun and Lulu Wang
Remote Sens. 2024, 16(19), 3736; https://doi.org/10.3390/rs16193736 - 8 Oct 2024
Viewed by 803
Abstract
The vertical distribution of the marine total suspended matter (TSM) concentration significantly influences marine material transport, sedimentation processes, and biogeochemical cycles. Traditional field observations are constrained by limited spatial and temporal coverage, necessitating the use of remote-sensing technology to comprehensively understand TSM variations [...] Read more.
The vertical distribution of the marine total suspended matter (TSM) concentration significantly influences marine material transport, sedimentation processes, and biogeochemical cycles. Traditional field observations are constrained by limited spatial and temporal coverage, necessitating the use of remote-sensing technology to comprehensively understand TSM variations over extensive areas and periods. This study proposes a remote-sensing approach to estimate the vertical distribution of TSM concentrations using MODIS satellite data, with the Bohai Sea and Yellow Sea (BSYS) as a case study. Extensive field measurements across various hydrological conditions and seasons enabled accurate reconstruction of in situ TSM vertical distributions from bio-optical parameters, including the attenuation coefficient, particle backscattering coefficient, particle size, and number concentration, achieving a determination coefficient of 0.90 and a mean absolute percentage error of 26.5%. In situ measurements revealed two distinct TSM vertical profile types (vertically uniform and increasing) and significant variation in TSM profiles in the BSYS. Using surface TSM concentrations, wind speed, and water depth, we developed and validated a remote-sensing approach to classify TSM vertical profile types, achieving an accuracy of 84.3%. Combining this classification with a layer-to-layer regression model, we successfully estimated TSM vertical profiles from MODIS observation. Long-term MODIS product analysis revealed significant spatiotemporal variations in TSM vertical distributions and column-integrated TSM concentrations, particularly in nearshore regions. These findings provide valuable insights for studying marine sedimentation and biological processes and offer a reference for the remote-sensing estimation of the TSM vertical distribution in other marine regions. Full article
Show Figures

Figure 1

Back to TopTop