Advanced InSAR Techniques for Geohazard Monitoring and Risk Evaluation

Dear Colleagues,

Interferometric Synthetic Aperture Radar (InSAR) has become a well-developed technique for monitoring and assessing geohazards. Its high precision and wide coverage in detecting ground deformation make it invaluable for understanding and monitoring natural hazards, such as earthquakes, landslides, volcanic eruptions, and subsidence, and their implications for infrastructure. The increasing volume of satellite data enables the acquisition of long-term ground deformation, which is crucial for monitoring and interpreting geohazards. Advances in big data and deep learning techniques further enhance the mechanism interpretation and risk evaluation of geohazards. Integrating advanced InSAR techniques with AI algorithms holds significant potential for monitoring, interpreting, and predicting geohazards.

This Special Issue aims to report advanced InSAR techniques to monitor and evaluate geohazards. Topics may cover advanced/enhanced InSAR data processing, interpretation with AI, early warning, risk assessment of geohazards, etc. Geohazard applications may be diverse, including earthquakes, landslides, volcanoes, and ground deformation related to geological, hydrological, and urbanization processes.

Articles may address topics including, but not limited, to the following:

• Advanced algorithms for InSAR data processing;
• Enhancing InSAR data processing and interpretation with AI;
• Earthquake monitoring and modelling;
• Landslide detection and monitoring;
• Volcanic activity and eruption prediction;
• Geohazards in urban and its implications for infrastructures;
• Deformation related to other geological and hydrological processes;
• Early warning and risk assessment of geohazards.

Dr. Bochen Zhang
Dr. Cunren Liang
Dr. Siting Xiong
Prof. Dr. Wu Zhu
Guest Editors

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