The Division of Forest Fire and Landslide Research studies on the scientific prediction and management technology to protect forest environment with public safety and property as well as minimize damage caused by forest disaster.
We operate a national forest fire hazard forecasting system related to forest fire which can check a nationwide risk of forest fire at one view in real time.
Also, the department establishes a system that can predict a direction and speed of the forest fire in the event of forest fire to minimize damages and suppress the fire on a real time basis.
In addition, the National Forest Fire Experiment Center, which can simulate large-scale forest fire, has been established to research behavioral characteristics of forest fire and lead to develop eco-friendly forest fire Extinguishing Agents. Lastly, the department conducts research and development of forest tending work technique to reduce forest fire damages.
National Fire Danger Rating System
Forest Fire Behavior Prediction Program
Forest fire behavior characteristics study
Development of Forest Tending Work technique resistant to forest fire
As recent climate change and corresponding change of disaster environment, the hazard of landslide and related disaster occur more frequently, and its type become more diverse. To mitigate landslide hazard including deep-seat earth creep and earthquake induced sediment disaster, landslide Hazard Mitigation research is focused on landslide hazard assessment and recovery technique for landslide damaged area. Moreover, To minimize damage in urban area due to landslide, improved warning-evacuation strategy, including integrated sediment disaster monitoring system and landslide early-waring system, are currently being developed
Deep-seat Landslide Remote Monitoring System
Earthquake-induced Landslide Susceptibility Map (pilot study)
Debris flow Risk map (in national scale)
12hr-forecasting Landslide Early-warning System (pilot study)
Futuristic Technology Research is aimed at utilizing UAV and image processing techniques in the forest disaster area. To achieve the research goal, ortho imagery and UAV LiDAR data are collected from forest fire and landslide damaged area.
Using collected geospatial data of forest disaster, we are focusing on developing an on-site spatial analysis algorithm and disaster information sharing platform.
Forest fire spread suppression technique using UAV
forestfire spread Tracking using UAV Night Vision
Spectrum Texture Analysis Using UAV Image in forestfire damaged area
Debris Flow Discharge Characteristics Analysis Using UAV LiDAR