Dear Colleagues,

Mass wasting events are a particularly frequent geomorphological hazard. Landslides is the generic term for these occurrences. While landslides may not be as devastating as some other natural disasters are, collectively, they are responsible for the loss of many lives and economic hardship. It is, therefore, of great importance to monitor individual landslides threatening human habitats, to study and understand the distribution of them across the landscape, and to be able to predict their spatial and temporal occurrences.

New monitoring and mapping technologies and methods to predict mass wasting events are being rapidly developed. These new technologies and methodological advances often involve remote sensing and may include, but are not limited to, UAS-based high resolution imagery, lidar acquisition, and radar systems, novel techniques in image processing, as well as artificial intelligence and machine learning algorithms.

We welcome any contributions to this Special Issue that advance our knowledge about monitoring individual landslides, aid landslide inventories, and improve the mapping of landslide susceptibility using heuristic, statistical, machine learning, or physical methods.

Dr. Leonhard Blesius
Guest Editor

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• landslide monitoring
• landslide inventory
• landslide susceptibility mapping
• remote sensing
• image processing
• heuristic
• machine learning
• physically based methods