Remote Sensing of Earthquake Engineering and Earthquake-Triggered Landslides and Displacement Monitoring

Dear Colleagues,

The improvement of UAV technology and the deployment of cube satellites have reduced the waiting time for acquiring remote sensing images from weeks to hours. More detailed pre-event imagery and near real-time post-event data are now available that can detect the co-event phenomena globally. A minimized data tasking time across the event should capture only the co-event displacement, which is important in carrying out validation with the numerical model output. Earthquakes also induce multiple types of hazards, such as liquefication, that could be detected by remote sensing. Reginal landslide ratio after a major seismic event decays as time elapses, but the decay rate is controlled by many yet-to-be-studied factors. Ground-based InSAR offers an immediate measurement that responds to the target area and prior-defined threshold that served as the automatic early warning detection system. Examples or treatments to improve the GBInSAR signal coherence in plantation regions or to apply GBInSAR in detecting the ground subsidence are also suitable for this issue. The capability of InSAR varies with bandwidth and polarity of signals, multi-reflection from rugged terrain and plantation; any effort to conquer those obstacles should vastly improve the usage of it.

Papers on all of the remote-sensing-related techniques applied for earthquake reconnaissance or damage assessment, or triggered landslide displacement monitoring/early warning, or displacement field measurement/monitoring are welcome. Research on either the spatial or temporal changes regarding those topics detected by any type of remote sensing platforms is also wanted. Any proof of concept/technology articles regarding this topic are also welcome, as well as case studies with significant impact or unique phenomena illustrations.

Dr. Teng-To Yu
Guest Editor

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