Machine Learning Methodologies and Ocean Science

Dear Colleagues,

Oceanic changes attributed to climate change are having significant impacts on marine and non-marine life forms across the globe. These direct and indirect changes manifest across time and space, requiring timely, accurate, and reliable data for decision making to identify and prioritise risks and to develop effective mitigation and adaptation strategies. For example, globally, sea level rise (SLR) is caused by the thermal expansion of ocean waters combined with freshwater input from melting glaciers and ice sheets. Between 1901 and 1990, the rate of global mean SLR was 1.35 mm/year greater than the rate of SLR in any century over the last 3000 years (IPCC, 2022). However, rates of SLR and other oceanic changes differ depending upon geographical factors and context. With the availability of ground-based and remote sensing datasets, machine learning techniques have provided highly accurate and reliable platforms to determine projections of future oceanic changes. Furthermore, the advancement of deep learning architecture has the capability to handle large datasets and extract features for highly accurate forecasting. Therefore, this Special Issue will provide a collection of research papers that present cutting-edge machine learning methodologies for the assessment and prediction of oceanic changes due to climate change.

Dr. Nawin Raj
Dr. Lila Singh Peterson
Dr. Nathan Downs
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. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly 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 2600 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.

• deep learning
• climate change
• sea level rise
• remote sensing
• artificial intelligence
• machine learning
• coastal changes
• oceanography
• wetland changes
• mangrove changes