Special Issue "Remote Sensing Techniques for Ocean Dynamics: State of the Art, Present and Future Applications"
Deadline for manuscript submissions: 15 November 2023 | Viewed by 3510
Interests: physical oceanography; ocean currents; vortex dynamics; autonomous technologies for ocean observations; remote sensing
Special Issues, Collections and Topics in MDPI journals
Ocean dynamics modulates natural and anthropogenic processes at several different space and time scales, from global climate change to the local dispersal of tracers and pollutants, with relevant impacts on marine ecosystems and maritime activities. Depending on the technique/instrument, remote sensing provides a unique opportunity to monitor ocean dynamics, ranging from sub-mesoscale to mesoscale, for regional/coastal areas up to global ocean contexts. Since the early 1990s, satellite altimetry has provided a unique opportunity to monitor the global ocean mesoscale dynamics from space, while radar platforms make it possible to resolve sub-mesoscale features in coastal areas. Scientific and socio-economic applications require observations with increasingly high spatial-temporal resolution and accuracy, thus fostering the development of new methodologies to improve present-day remote observations.
This Special Issue aims to publish studies covering different uses of remote sensing by describing and understanding the dynamical causes and mechanisms of ocean variability on different spatial (from local to global) and temporal (hourly to multi-decadal) scales. We welcome studies relying on single- to multi-variable approaches, combining in situ and remotely sensed data, capitalizing on recent advances in data-driven algorithms, and aiming at identifying the critical processes that need to be deepened and included in climate models. Papers with an interdisciplinary character that combine physical oceanography with other fields, ranging from atmosphere to biogeochemistry, from fisheries to ecology, from hazards to forecasting, are highly encouraged.
Articles may address, but are not limited to, the following topics:
- Radar altimetry;
- Doppler remote sensing techniques;
- Future satellite missions for monitoring ocean dynamics;
- Coastal HF-radar applications;
- Extraction of ocean dynamics information from independent observations;
- Data-driven and/or multi-variate monitoring techniques;
- Operational oceanography;
- Ocean state and monitoring;
- Oil spill/debris monitoring.
Dr. Milena Menna
Dr. Daniele Ciani
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.
- ocean monitoring
- remote sensing applications
- ocean surface and interior dynamics
- (sub)mesoscale processes
- earth observation data integration