The Urban Forests Division researches the implementation, management, and functional enhancement of forest-based spaces.
Conducting research on long-term vegetation change monitoring and database construction of urban forests, analysis of environmental improvement effects, and quantification methods for various ecosystem service functions of urban forests.
Evaluation of ecosystem services of urban forests
Detailed vegetation map of urban forests
Monitoring on long-term vegetation changes of urban forests and urban biodiversity
Selection for excellent tree species of PM reduction
Evaluation of VOCs emission
Research on tree resistance to air pollutants
Investigates Particulate Matter (PM) reduction mechanisms by species, selecting excellent tree species of PM reduction, and conducting an evaluation of Volatile Organic Compounds (VOCs) emission traits in species units.
conducting research on the effects of fine dust reduction and thermal disaster mitigation according to urban forest type and its application at the landscape level.
Fine dust reduction effect of urban forests
Thermal disaster mitigation effect of urban forests
Implementation and management of urban forests
Based on the research platform (aican.nifos.go.kr), monitoring of fine dust reduction effects and applying advanced smart technology of urban green infrastructure on developing Korean i-Tree evaluation model.
Monitoring network of PM in Forests
AICAN(Asian Initiative for Clean Air Networks
Developing evaluation module of Urban Forests value in Korea
In order to secure sustainable clean water and create a healthy forest water environment in response to climate change and water scarcity.
Long term monitoring on forest water quantity and quality
Forest thinning site for forest water resources retention enhancement
Non point source pollution degraded site
In order to establish smart water information infrastructure conducting research on the advancement of intelligent forest water map, the establishment of forest water management platform and reinforcement of disaster safety response capabilities.
Structure of AI model in forest water map
Forest water map
Flash flood monitoring in forest watershed