Rapidly moving landslides are extremely hazardous phenomena capable of causing severe damage to ecosystems in the Republic of Korea. Effective and sustainable landslide risk reduction measures have been realized with the development of a reliable early-warning model. The KIGAM landslide monitoring system is operated at eleven different locations in national park areas in Korea. Each monitoring site has an identical landslide detection system, and these work by acquiring local rainfall information and in-situ geotechnical and hydrological measurement values (e.g., the volumetric water content, suction stress, temperature, pH, and displacement). Laboratory geotechnical tests are also conducted to provide the input parameters required in a landslide prediction model. The landslide detection system (S/W) was designed to operate on a cloud server (the Korea Telecom–KT G-Cloud server) to save and manage the monitoring data and to provide landslide prediction maps and landslide inventory sheets. KIGAM has recently developed robust early-warning technology to predict rainfall-induced landslides on unsaturated slopes, to characterize hazardous areas prone to slides and debris flows, and to develop interworking technology to provide rainfall data based on weather forecasting (at three-hour intervals) using live weather radar information. The rainfall data is updated every three hours, one day in advance. The main goal of this research is to provide an alarm for landslides before one hour of their occurrence.
