Myong-In Lee

According to our database, Myong-In Lee authored at least 7 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

2019

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

2018

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

2017

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

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

The spatiotemporal variations of CO2 in the troposphere using multi-sensor satellite data and aircraft observation.

Sanggyun Lee, Jungho Im, Myong-In Lee

Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015