Ground Deformation Monitoring via Remote Sensing Time Series Data

Dear Colleagues,

Monitoring ground deformation is a crucial task in geohazard management to ensure the safety of lives and infrastructure. Many factors can cause the land surface or ground to deform, such as earthquakes, slow-moving landslides, subsidence due to groundwater exploitation or underground mining, volcanic unrest, and others. Recent advances in remote sensing techniques have created a great opportunity to effectively and continuously monitor the land surface. These techniques include Interferometric Synthetic Aperture Radar (InSAR), Persistent Scatterer InSAR (PS-InSAR), Light Detection And Ranging (LiDAR), Global Navigation Satellite Systems (GNSS), Close-Range Photogrammetry (CRP), Robotic Total Station (RTS), etc. Spatio-temporal land surface monitoring can be rigorously carried out by analyzing the time series acquired from these techniques. Processing such time series can also be very challenging for several reasons, such as non-uniform sampling, biases as a result of preprocessing, and atmospheric/environmental noise.

The aim of this Special Issue is to collect papers (original research articles and review papers) that offer insights into effectively monitoring and measuring land deformation using remotely sensed time series data.

This Special Issue will welcome manuscripts that link the following themes:

• New time series analysis methods for ground deformation monitoring;
• Applications of existing time series or data processing methods in Earth’s surface monitoring;
• A combination of different techniques, such as InSAR, LiDAR, GNSS, CRP, etc., for ground deformation monitoring and change detection using advanced artificial intelligence models.

We look forward to receiving your original research articles and reviews.

Dr. Ebrahim Ghaderpour
Prof. Dr. Paolo Mazzanti
Guest Editors

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