Intelligent Remote sensing and geospatial Information Science

환경원격탐사/인공지능 연구실

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환경원격탐사/인공지능 연구실

The IRIS lab utilizes remote sensing, GIS modeling, and artificial intelligence techniques to broaden and deepen our understanding of the Earth science under climate variability/change, and leverages this knowledge to better manage and control critical functions related to terrestrial, coastal, and polar ecosystems, natural and man-made disasters, water resources, and carbon sequestration.

Major research field

Remote sensing, artificial intelligence, spatial modeling, disaster monitoring and prediction

Desired field of research

Research Keywords and Topics

· Disaster Monitoring and Assessment using Remote Sensing and Artificial Intelligence
· Polar Remote Sensing
· Remote Sensing for Air Quality, Meteorology, and Climate
· Remote Sensing for Water Resources and Ocean

Research Publications

· Lee, S., Yoo, C., Im, J.*, Cho, D., Lee, Y., Bae, D. (2023). A novel approach to investigating the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, Republic of Korea. International Journal of Applied Earth observation and Geoinformation, 122, 103408
· Choi, H., Park, S., Kang, Y., Im, J.*, Song, S. (2023). Retrieval of hourly PM2.5 using top-of-atmosphere reflectance from Geostationary Ocean Color Imagers I and II. Environmental Pollution, 323, 121169
· Jang, E., Kim, Y., Im, J.*, Park, Y., Sung, T. (2022). Global sea surface salinity generated through the synergistic use of SMAP satellite and HYCOM data based on machine learning approaches. Remote Sensing of Environment, 273, 112980
· Son, B., Park, S., Im, J.*, Park, S., Ke, Y., Quackenbush, L. (2021). A new drought monitoring approach: Vector-Projection Analysis(VPA). Remote Sensing of Environment, 252, 112145


  • ND. 지구과학(지구/대기/해양/천문)