Microwave Remote Sensing on Ocean Observation
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".
Deadline for manuscript submissions: 31 December 2025 | Viewed by 84
Special Issue Editors
Interests: microwave ocean remote sensing; computational electromagnetics; microwave scattering and emission from ocean surface; retrieval of ocean dynamic parameters; maritime target detection
Interests: computer science; engineering; earth and planetary sciences; remote sensing; electromagnetic radar cross section; sea clutter; radar; propagation and EM scattering; illumination radar using polarization states of photons in atmosphere
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Special Issue Information
Dear Colleagues,
Microwave remote sensing technology, renowned for its capabilities of all-time, all-weather and large-scale observation, has greatly promoted the development of marine sciences since the 1970s. Particularly, global-scale remote sensing inversions of ocean dynamic parameters, such as sea surface temperature (SST), sea surface salinity (SSS), sea surface height (SSH), wind vectors, etc., have largely enriched the observational data obtained. These advancements have overcome the limitations of scattered and expensive traditional ocean data measurements for oceanography and global climate studies. This progress has also led to the rapid evolution of several research areas, including forward modeling based on electromagnetic scattering theory, applications of oceanic parameter retrievals and maritime target detections, and the system design of microwave remote sensing instruments for ocean observations, among others. In recent decades, emergent techniques such as deep learning and artificial intelligence have further advanced the developments of microwave remote sensing in ocean observation, resulting in a positive trend of higher precision, finer resolution, larger coverage, and broader applications.
This Special Issue aims to provide a comprehensive platform for researchers to share their latest studies and innovations on ocean observations using microwave remote sensing technology. This Special Issue’s scope aligns with the journal’s focus on microwave ocean remote sensing, including the relevant fundamental theories and practical applications.
We welcome original research articles, technical notes, and reviews related to the following topics: forward modeling of ocean microwave scattering and emission; retrievals of ocean dynamic parameters using active, passive, or GNSS reflectometry observations; detections of marine dynamic phenomena and artificial targets from SAR/PolSAR images; emergent concepts of forward modeling and parameter inversion through artificial intelligence; simulation and modeling of sea clutters for radar target detection; and other technical innovations in microwave ocean remote sensing.
Dr. Yanlei Du
Prof. Dr. Ali Khenchaf
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.
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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
- ocean dynamic parameter retrieval
- detection of marine dynamic phenomena and artificial targets
- advanced forward modeling of ocean scattering and emission
- data fusion and reconstruction of multi-source ocean products
- deep learning/artificial intelligence in ocean remote sensing
- scatterometer/radiometer/SAR/GNSS-reflectometry
- scale effect analysis
- Polarization theory and Polarimetric SAR applications in ocean remote sensing
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