About this Research Topic
Coastal regions are some of the most dynamic and ecologically significant areas on our planet. They are home to vibrant ecosystems, play a crucial role in local economies, and face a unique set of challenges due to their proximity to the sea. These challenges include climate change impacts, sea-level rise, coastal erosion, human activities, city expansions, and pollution. To address these issues and effectively manage coastal cities and environments, there is a growing need for advanced tools and technologies. The rapidly evolving field of AI has witnessed groundbreaking developments in machine learning, deep learning, and computer vision, all of which have the potential to revolutionize how we monitor, analyze, and protect our coastal regions.
This Research Topic is dedicated to exploring the innovative intersection of Artificial Intelligence (AI) and remote sensing, with a focus on the monitoring of coastal cities and their surrounding environments. Coastal areas are particularly vulnerable to a range of environmental shifts and disasters. Remote sensing technologies, when integrated with cutting-edge AI techniques, offer unprecedented opportunities for informed decision-making and sustainable management. The Research Topic also aims to showcase research that pushes the boundaries of what is possible in the application of AI to remote sensing in coastal areas.
Key areas of interest include but not limited:
1. Deep Learning for Coastal Land Cover Classification
2. Deep Learning for Information Extraction for Coastal City
3. Time Series Analysis and Prediction Coastal zone
4. Shoreline Detection and Change Monitoring
5. Coastal Pollution Detection
6. Urbanization Impact Analysis
7. Coastal Hazard Assessment and Disaster Management
We welcome Original Research and Reviews articles that demonstrate the effectiveness and applicability of AI methods in remote sensing monitoring of coastal cities and their environment. Submissions should emphasize the practical implications and potential for real-world applications.
This Research Topic is dedicated to exploring the innovative intersection of Artificial Intelligence (AI) and remote sensing, with a focus on the monitoring of coastal cities and their surrounding environments. Coastal areas are particularly vulnerable to a range of environmental shifts and disasters. Remote sensing technologies, when integrated with cutting-edge AI techniques, offer unprecedented opportunities for informed decision-making and sustainable management. The Research Topic also aims to showcase research that pushes the boundaries of what is possible in the application of AI to remote sensing in coastal areas.
Key areas of interest include but not limited:
1. Deep Learning for Coastal Land Cover Classification
2. Deep Learning for Information Extraction for Coastal City
3. Time Series Analysis and Prediction Coastal zone
4. Shoreline Detection and Change Monitoring
5. Coastal Pollution Detection
6. Urbanization Impact Analysis
7. Coastal Hazard Assessment and Disaster Management
We welcome Original Research and Reviews articles that demonstrate the effectiveness and applicability of AI methods in remote sensing monitoring of coastal cities and their environment. Submissions should emphasize the practical implications and potential for real-world applications.
Keywords: Environmental remote sensing, Artificial Intelligence, Coastal region, Cities and coastal zones, Earth observation technology
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
