| 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 | 131 | 2021 |
| Detection and monitoring of forest fires using Himawari-8 geostationary satellite data in South Korea E Jang, Y Kang, J Im, DW Lee, J Yoon, SK Kim Remote Sensing 11 (3), 271, 2019 | 121 | 2019 |
| Estimating ground-level particulate matter concentrations using satellite-based data: a review M Shin, Y Kang, S Park, J Im, C Yoo, LJ Quackenbush GIScience & Remote Sensing 57 (2), 174-189, 2020 | 97 | 2020 |
| A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency Y Kang, E Jang, J Im, C Kwon GIScience & Remote Sensing 59 (1), 2019-2035, 2022 | 65 | 2022 |
| Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia Y Kang, M Kim, E Kang, D Cho, J Im ISPRS Journal of Photogrammetry and Remote Sensing 183, 253-268, 2022 | 64 | 2022 |
| Developing a new hourly forest fire risk index based on catboost in South Korea Y Kang, E Jang, J Im, C Kwon, S Kim Applied Sciences 10 (22), 8213, 2020 | 42 | 2020 |
| Wildfire severity mapping using sentinel satellite data based on machine learning approaches S Sim, W Kim, J Lee, Y Kang, J Im, C Kwon, S Kim Korean Journal of Remote Sensing 36 (5_3), 1109-1123, 2020 | 14 | 2020 |
| 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 | 13 | 2023 |
| Toward an adaptable deep-learning model for satellite-based wildfire monitoring with consideration of environmental conditions Y Kang, T Sung, J Im Remote Sensing of Environment 298, 113814, 2023 | 11 | 2023 |
| Spatio-temporal enhancement of forest fire risk index using weather forecast and satellite data in South Korea YJ KANG, S PARK, E JANG, J IM, CG KWON, SJ LEE Journal of the Korean Association of Geographic Information Studies 22 (4 …, 2019 | 11 | 2019 |
| 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 | 8 | 2021 |
| Estimation of Leaf Area Index Based on Machine Learning/PROSAIL Using Optical Satellite Imagery J Lee, Y Kang, B Son, J Im, K Jang Korean Journal of Remote Sensing 37 (6_1), 1719-1729, 2021 | 6 | 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 | 6 | 2020 |
| Mitigating underestimation of fire emissions from the Advanced Himawari Imager: A machine learning and multi-satellite ensemble approach Y Kang, J Im International Journal of Applied Earth Observation and Geoinformation 128 …, 2024 | 5 | 2024 |
| Efficient deep learning approaches for active fire detection using Himawari-8 geostationary satellite images S Lee, Y Kang, T Sung, J Im Korean Journal of Remote Sensing 39 (5_3), 979-995, 2023 | 3 | 2023 |
| Trend analysis of vegetation changes of Korean fir (Abies koreana Wilson) in Hallasan and Jirisan using MODIS imagery M Choo, C Yoo, J Im, D Cho, Y Kang, H Oh, J Lee Korean Journal of Remote Sensing 39 (3), 325-338, 2023 | 3 | 2023 |
| Sensitivity analysis for CAS500-4 atmospheric correction using simulated images and suggestion of the use of geostationary satellite-based atmospheric parameters Y Kang, D Cho, D Han, J Im, J Lim, K Oh, E Kwon Korean Journal of Remote Sensing 37 (5), 1029-1042, 2021 | 3 | 2021 |
| Enhancing Satellite-based Wildfire Monitoring: Advanced Contextual Model Using Environmental and Structural Information T Sung, Y Kang, J Im IEEE Transactions on Geoscience and Remote Sensing, 2024 | 2 | 2024 |
| Machine Learning-Based Atmospheric Correction Based on Radiative Transfer Modeling Using Sentinel-2 MSI Data and ItsValidation Focusing on Forest Y Kang, Y Kim, J Im, J Lim Korean Journal of Remote Sensing 39 (5_3), 891-907, 2023 | 2 | 2023 |
| Development of mid-range forecast models of forest fire risk using machine learning S Park, B Son, J Im, Y Kang, C Kwon, S Kim Korean Journal of Remote Sensing 38 (5_2), 781-791, 2022 | 2 | 2022 |
Jungho ImUlsan National Institute of Science and TechnologyPreverjeni e-poštni naslov na unist.ac.kr