Artificial Intelligence for Coastal Remote Sensing: Dataset and Application
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Ocean Remote Sensing".
Deadline for manuscript submissions: 31 January 2026
Special Issue Editors
Interests: coastal remote sensing; coastal wetlands; deep learning; coastal geomorphology
Special Issues, Collections and Topics in MDPI journals
Interests: global aquatic land cover; coastal wetlands; remote sensing; LULC change
Interests: tidal flat mapping; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Coastal zones are vital yet vulnerable ecosystems facing unprecedented pressure from climate change and human activities. Leveraging the power of artificial intelligence (AI) alongside remote sensing presents a revolutionary opportunity to enhance the precision, efficiency, and scalability of coastal monitoring and management. This Special Issue seeks high-quality research advancing the application of AI techniques to interpret remote sensing data (satellite, aerial, UAV, SAR, LiDAR, hyperspectral) for understanding and safeguarding coastal environments.
We invite original contributions focusing on AI-driven extraction, mapping, and change detection of key coastal elements (such as salt marshes, mangroves, aquaculture ponds, tidal flats, shorelines, river deltas, and coastal wetlands) and emerging infrastructure (like offshore wind turbines and coastal photovoltaics), as well as those assessing coastal responses to global climate change and sea level rise. We particularly encourage research on novel AI algorithms optimized for coastal challenges in remote sensing (e.g., handling tidal influences, complex spectral signatures, and sparse data), the creation of benchmark datasets for training and validation, robust time-series analysis of coastal dynamics, and solutions enhancing the scalability and automation of coastal intelligence.
This Special Issue aims to showcase cutting-edge methodologies and provide a valuable resource for researchers and practitioners dedicated to sustainable coastal zone management through advanced geospatial AI.
Dr. Chunpeng Chen
Dr. Panpan Xu
Dr. Pengfei Tang
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
- artificial intelligence
- automated mapping
- coastal wetlands
- river deltas
- multi-source data fusion
- Earth observation big data
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