AI-Empowered Remote Sensing Monitoring and Geospatial Analysis for Ocean and Coastal Environments

Dear Colleagues,

Due to the overwhelming support and interest in the previous Special Issue, we are introducing a second edition “AI-Empowered Remote Sensing Monitoring and Geospatial Analysis for Ocean and Coastal Environments” regarding Special Issue “GIS and Remote Sensing in Ocean and Coastal Ecology". We would like to thank all the authors and co-authors who made contributions to the successful first edition of this Special Issue and look forward to more experts' innovative contributions.

GIS and remote sensing are vital technologies for exploring ocean and coastal system dynamics. A variety of satellites and sensors provide spatial–temporal data for the monitoring and assessment of day-to-day changes in the ocean and coastal environments. As integrated parts of the Earth’s ecosystem, ocean and coastal areas are immensely important biologically and socially. These areas are under constant threat due to the anthropogenic activities of unprecedented resource extraction and changing climatic behaviors. The oceans have varied and complex geometry and physiography;  thus, cognizance of their varied characteristics is essential for identifying any implication of these ecosystems. Remote sensing and geographical information system (GIS) techniques have not only proved effective in analyzing the surface characteristics of coastal areas, but also hold much importance in identifying the characteristics of the ocean floor, mapping coastal details, hydrodynamic modeling, and coastal ecological processes and risk assessment.  Recent advances in AI have further revolutionized these technologies, enabling the more efficient and accurate processing of complex geospatial data related to ocean and coastal environments.

We encourage submissions exploring research advancements in and applications of modeling systems and coastal monitoring systems to study the hydrodynamics, morphodynamics, biodiversity, ecological processes, and community succession of the coastal ecosystem; ocean remote sensing, ocean color monitoring, modeling biomass and the carbon of oceanic ecosystems, biogeochemical processes, sea surface temperature (SST) and sea surface salinity, ocean monitoring for oil spills and pollution, coastal erosion, and accretion measurement. Additionally, this Special Issue aims to highlight the integration of AI with remote sensing technologies, including AI-driven remote sensing data processing and intelligent interpretation methods, such as large-model remote sensing indices for the precise identification of key coastal geographical features. We also welcome studies on multimodal sensing data fusion technologies tailored for marine and coastal scenarios, as well as the development of novel lightweight sensors and multi-platform collaboration (e.g., drones and unmanned ships) for marine environmental disaster early warning and monitoring.

We wholeheartedly appreciate your consideration of submitting manuscripts to this Special Issue, entitled “AI-Empowered Remote Sensing Monitoring and Geospatial Analysis for Ocean and Coastal Environments”.   We also kindly request your assistance in sharing this announcement with esteemed colleagues, encouraging them to contribute their expertise to this important field of study.

Together, let us propel advancements in ocean and coastal ecology research forward and contribute to a better understanding of the changes in ocean and coastal environments and their implications for Earth’s ecosystem. 

Dr. Gang Yang
Prof. Dr. Cunjin Xue
Dr. Yongze Song
Dr. Jianing Zhen
Dr. Xiaoshuang Ma
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.

• coastal ocean modeling
• coastal ocean remote sensing
• coastal and ocean environment monitoring
• coastal ocean forecasting
• biodiversity
• ecological process and risk assessment
• artificial intelligence (AI)
• deep learning
• UAV
• radar
• digital twin
• ocean and coastal scenario—simulation

• GIS and Remote Sensing in Ocean and Coastal Ecology in Remote Sensing (7 articles)