Advancing Ocean Observation, Analysis, and Forecasting Through AI-Powered Remote Sensing
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".
Deadline for manuscript submissions: 16 March 2026 | Viewed by 54
Special Issue Editors
Interests: ocean remote sensing observation, analysis and forecast
Interests: remote sensing observation and analysis
Special Issues, Collections and Topics in MDPI journals
Interests: satellite oceanography; microwave remote sensing; AI oceanography; tropical cyclone remote sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The ocean is fundamental to Earth's climate system, regulating weather, carbon cycles, and biodiversity. Effective ocean observation, analysis, and forecasting are thus crucial for assessing the impacts of climate change, safeguarding maritime operations, sustaining fisheries, mitigating hazards, and preserving ecosystem health. Traditional in situ monitoring remains constrained by the ocean's scale and harshness. Satellite and aerial remote sensing deliver essential, globally comprehensive, high spatiotemporal resolution data (e.g., sea surface temperature, height, ocean color, winds, and waves). However, extracting maximum value from these vast, heterogeneous datasets necessitates advanced analytical capabilities. Artificial intelligence (AI), especially deep learning and machine learning, holds transformative potential for processing complex remote sensing data, deciphering intricate ocean processes, and developing accurate predictive models.
This Remote Sensing Special Issue aims to showcase cutting-edge research on the synergistic integration of remote sensing and AI, advancing new perspectives in ocean observation, analysis, and forecasting. It seeks to foster innovation in this interdisciplinary field by addressing challenges and opportunities in using AI to derive deeper insights from ocean remote sensing data. This focus aligns precisely with the journal's core scope, which emphasizes the science and application of remote sensing technology—encompassing data acquisition, processing, algorithm development, modeling, and domain-specific applications like oceanography—and highlights methodological innovations (e.g., AI) for enhanced analysis and prediction.
We welcome original research and reviews on topics including:
- AI-driven intelligent processing of ocean remote sensing data (e.g., fusion, correction, feature extraction);
- intelligent detection and tracking of ocean phenomena (e.g., eddies, fronts, algal blooms, oil spills);
- high-precision inversion and forecasting of key ocean parameters (e.g., temperature, salinity, chlorophyll-a, sea ice, waves, and currents) using multi-source remote sensing and AI;
- AI-enhanced forecasting of extreme ocean events (e.g., typhoons, storm surges, marine heatwaves);
- remote sensing and AI-based dynamic monitoring and assessment of marine ecosystems;
- development of intelligent systems for operational oceanography.
We anticipate your contributions to advance the intelligent future of ocean perception.
Dr. Lei Ren
Dr. Indiana A. Olbert
Dr. Gang Zheng
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
- remote sensing
- artificial intelligence technology
- observation
- forecast
- analysis
- reconstruction
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