| Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia Y Kang, H Choi, J Im, S Park, M Shin, CK Song, S Kim Environmental Pollution 288, 117711, 2021 | 104 | 2021 |
| Retrieval of hourly PM2. 5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II H Choi, S Park, Y Kang, J Im, S Song Environmental Pollution 323, 121169, 2023 | 9 | 2023 |
| Estimation of TROPOMI-derived Ground-level SO2 Concentrations Using Machine Learning Over East Asia H Choi, Y Kang, J Im Korean Journal of Remote Sensing 37 (2), 275-290, 2021 | 7 | 2021 |
| Monitoring Ground-level SO2 Concentrations Based on a Stacking Ensemble Approach Using Satellite Data and Numerical Models H Choi, Y Kang, J Im, M Shin, S Park, SM Kim Korean Journal of Remote Sensing 36 (5_3), 1053-1066, 2020 | 5 | 2020 |
| Retrieval of hourly aerosol optical depth using top-of-atmosphere reflectance from GOCI-II and machine learning over South Korea S Yang, H Choi, J Im Korean Journal of Remote Sensing 39 (5_3), 933-948, 2023 | 1 | 2023 |
| Spatial downscaling of ocean colour-climate change initiative (OC-CCI) Forel-Ule Index using GOCI satellite image and machine learning technique T Sung, YJ Kim, H Choi, J Im Korean Journal of Remote Sensing 37 (no.5-1), pp.959 - 974, 2021 | 1 | 2021 |
| Spatiotemporally Continuous Estimation of Ground-Level Ozone Concentrations from Geostationary Satellite Using Machine Learning Y KIM, S Park, H Choi, Y Kang, J Lee, J Im AGU Fall Meeting Abstracts 2023 (2317), A21E-2317, 2023 | | 2023 |
| Estimating Hourly PM2. 5 Over South Korea Using a Machine Learning Approach and the TOA Reflectance From GOCI-I, II Satellite H Choi, S Park, Y Kang, J Im AGU Fall Meeting Abstracts 2022, A42N-1893, 2022 | | 2022 |
