Landslide Detection and Monitoring Using Multisource Remote Sensing Data

Dear Colleagues,

Landslides are widely distributed throughout the world. These landslides become unstable due to natural factors and human activities, causing catastrophic destruction to people’s lives and infrastructures. Thus, it is imperative to detect and monitor these landslides. Recently, advanced monitoring equipment, information technology, and multidisciplinary interaction theories have all created new opportunities and problems in this discipline. However, effective and efficient monitoring, precise early warning, low-cost and low-time-consuming remediation, and reliable risk assessment remain obstacles.

This Topic aims to present the most recent innovative advancements and state of the art in landslide monitoring and early warning using multisource remote sensing data. The topics include but are not limited to the following areas:

• Integrated framework for wide‑area active landslide detection based on InSAR techniques;
• LiDAR-derived images for mapping landslides;
• Multisource data-based monitoring techniques, intelligent monitoring, and early warning models and systems of slope instability;
• Application of GNSS technique for landslide monitoring;
• Multitemporal optical images for landslide monitoring;
• UAV photogrammetry-based remote sensing and assessment of landslides;
• Susceptibility mapping, risk assessment, and disaster evaluation of slope hazard.

Prof. Dr. Haijun Qiu
Prof. Dr. Wen Nie
Dr. Afshin Asadi
Dr. Pooya Saffari
Topic Editors