Forest Environment and Conservation Department

Forest Conservation Department aims to assess climate change impact on forest ecosystems, develop adaptation technology to climate change, conserve biodiversity, manage Baekdudaegan Mountain Range , manage urban forests and Maeulsoop, predict and prevent forest disasters.

The Division of Forest Fire and Landslide Research studies on the scientific prediction and management technology to protect forest environment.

Forest Fire Research

Operating a national forest fire hazard forecasting system that shows real-time nationwide forest fire risk at a glance.
The National Forest Fire Experiment Center, has been established to research fire behavior characteristics of forest fire and lead to develop eco-friendly forest fire Extinguishing Agents.

  • National Fire Danger Rating System
    National Fire Danger Rating System

    National Fire Danger Rating System

  • Forest Fire Behavior Prediction Program
    Forest Fire Behavior Prediction Program

    Forest Fire Behavior Prediction Program

  • Forest fire behavior characteristics study
    Forest fire behavior characteristics study

    Forest fire behavior characteristics study

  • Development of  Forest Tending Work technique resistant to forest fire
    Development of Forest Tending Work technique resistant to forest fire

    Development of Forest Tending Work technique resistant to forest fire

Landslide Hazard Mitigation Research

landslide Hazard Mitigation research is focused on landslide hazard assessment and recovery technologies for landslide damaged area to minimize damages in urban area due to landslide, and improved warning-evacuation strategy.

  • Deep-seat Landslide Remote Monitoring System
    Deep-seat Landslide Remote Monitoring System

    Deep-seat Landslide Remote Monitoring System

  • Earthquake-induced Landslide Susceptibility Map (pilot study)
    Earthquake-induced Landslide Susceptibility Map (pilot study)

    Earthquake-induced Landslide Susceptibility Map (pilot study)

  • Debris flow Risk map (in national scale)
    Debris flow Risk map (in national scale)

    Debris flow Risk map (in national scale)

  • 12hr-forecasting Landslide Early-warning System (pilot study)
    12hr-forecasting Landslide Early-warning System (pilot study)

    12hr-forecasting Landslide Early-warning System (pilot study)

Research of Forest Disaster based Smart Technology

Futuristic Technology Research is aimed at utilizing UAV and image processing technologiess in the forest disaster area. Ortho imagery and UAV LiDAR data are collected from a forest fire and landslide damaged area.

  • Forest fire spread suppression technique using UAV
    Forest fire spread suppression technique using UAV

    Forest fire spread suppression technique using UAV

  • forestfire spread Tracking using UAV Night Vision
    forestfire spread Tracking using UAV Night Vision

    forestfire spread Tracking using UAV Night Vision

  • Spectrum Texture Analysis Using UAV Image in forestfire damaged area
    Spectrum Texture Analysis Using UAV Image in forestfire damaged area

    Spectrum Texture Analysis Using UAV Image in forestfire damaged area

  • Debris Flow Discharge Characteristics Analysis Using UAV LiDAR
    Debris Flow Discharge Characteristics Analysis Using UAV LiDAR

    Debris Flow Discharge Characteristics Analysis Using UAV LiDAR

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