Artificial Intelligence for Coastal Remote Sensing: Dataset and Application

Dear Colleagues,

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

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