AI-based Remote Sensing Oceanography

Dear Colleagues,

Ocean remote sensing is a research area that has undergone tremendous development in the past few decades. Much research has led to the operational implementation of many scientific algorithms to generate geoscience products that support the general public. The rapid development of satellites and sensors has caused a dramatic increase in both the amount and diversity of ocean remote sensing data, and such data requires extensive analysis and powerful technology to be understood. In the past few years, artificial intelligent (AI) technology has been widely used in many research fields for big data information mining and shown great potential in computer vision, natural language processing, and bioinformatics, among others. The number of AI-related papers has increased exponentially.

In order to consolidate the papers within the scope of AI applications in oceanography, this Special Issue on “AI-Based Remote Sensing Oceanography” will focus on the following four major disciplines:

1. AI-based remote sensing image CLASSIFCATION (oil, ship, coastal zone, inundation, harmful algal bloom, cloud, eddy, internal wave, etc.)
2. AI-based remote sensing data FUSION (altimeter, scatterometer, radiometer, hyperspectral, aerial photos, etc.)
3. AI-based remote sensing ALGORITHM development (sea surface temperature, ocean color, wind, wave, dynamic topography, sea ice, etc.)
4. AI-based ocean and marine meteorology FORECAST (sea surface temperature, storm, etc.)

We would like to invite articles on ocean-related studies using state-of-the-art AI techniques.

All submitted manuscripts will go through a peer review process. We look forward to receiving your submissions in this booming area of research.

Dr. Xiaofeng Li
Dr. Gang Zheng
Dr. Bin Liu
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 250 words) can be sent to the Editorial Office for assessment.

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.