The spatiotemporal variations of CO2 in the troposphere using multi-sensor satellite data and aircraft observation. - Sanggyun Lee; Jungho Im; Myong-In Lee (IGARSS, 2015)

Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches. - Hyangsun Han; Sanggyun Lee; Jungho Im; Miae Kim; Myong-In Lee; Myoung Hwan Ahn; Sung-Rae Chung (Remote. Sens., 2015)

Detection of Tropical Overshooting Cloud Tops Using Himawari-8 Imagery. - Miae Kim; Jungho Im; Haemi Park; Seonyoung Park; Myong-In Lee; Myoung Hwan Ahn (Remote. Sens., 2017)

Prediction of Drought on Pentad Scale Using Remote Sensing Data and MJO Index through Random Forest over East Asia. - Seonyoung Park; Eunkyo Seo; Daehyun Kang; Jungho Im; Myong-In Lee (Remote. Sens., 2018)

Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data. - Minsang Kim; Myung-Sook Park; Jungho Im; Seonyoung Park; Myong-In Lee (Remote. Sens., 2019)

An Observing System Simulation Experiment Framework for Air Quality Forecasts in Northeast Asia: A Case Study Utilizing Virtual Geostationary Environment Monitoring Spectrometer and Surface Monitored Aerosol Data. - Hyeon-Kook Kim; Seunghee Lee; Kang-Ho Bae; Kwonho Jeon; Myong-In Lee; Chang-Keun Song (Remote. Sens., 2022)

Seasonal Dependence of Aerosol Data Assimilation and Forecasting Using Satellite and Ground-Based Observations. - Seunghee Lee; Ganghan Kim; Myong-In Lee; Yonghan Choi; Chang-Keun Song; Hyeon-Kook Kim (Remote. Sens., 2022)