Remote Sensing of Landslides

Dear Colleagues,

Triggered by earthquakes, rainfall, and anthropogenic activities, such as irrigation and constructions, landslide represents a widespread and problematic geo-hazard worldwide. In recent years, multiple remote sensing techniques, including synthetic aperture radar (SAR), optical, as well light detection and ranging (LiDAR) measurements from spaceborne, airborne, and ground-based platforms, have been widely applied for the monitoring of landslide processes. Current techniques include landslide classification, detection, digital elevation model reconstruction, surface deformation monitoring, and volume/mechanism inversion. In addition, landslide susceptibility mapping, hazard assessment, and risk evaluation can be further analyzed using a synergic fusion of multiple remote sensing data and other observations affecting landslides. This Special Issue aims to gather current innovative remote sensing methods, analysis and inversion techniques, and applications on landslide studies.

Prof. Dr. Zhong Lu
Dr. Chaoying Zhao
Guest Editors

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