| 2019-06 | A novel framework of detecting convective initiation combining automated sampling, machine learning, and repeated model tuning from geostationary satellite data | Han, Daehyeon; Lee, Juhyun; Im, Jungho; Sim, Seongmun; Lee, Sanggyun; Han, Hyangsun | ARTICLE | 903 |
| 2017-03-21 | Arctic lead detection using a waveform mixture analysis from CryoSat-2 data | Lee, Sanggyun; Im, Jungho; Han, Daehyeon | CONFERENCE | 387 |
| 2019-11 | Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images | Yoo, Cheolhee; Han, Daehyeon; Im, Jungho; Bechtel, Benjamin | ARTICLE | 635 |
| 2021-10 | Detection of arctic summer melt ponds using icesat-2 altimetry data | Han, Daehyeon; Kim, Young Jun; Jung, Sihun; Sim, Seongmun; Kim, Woohyeok; Jang, Eunna; Im, Jungho; Kim, Hyun-Cheol | ARTICLE | 460 |
| 2020-04 | Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery | Lee, Junghee; Han, Daehyeon; Shin, Minso; Im, Jungho; Lee, Junghye; Quackenbush, Lindi J. | ARTICLE | 663 |
| 2020-02-20 | Estimation of Arctic Sea Ice Thickness using Passive Microwave | Han, Daehyeon; Kim, Youngjun; Im, Jungho; Sim, Seongmun; Jang, Eunna; Kim, Hyuncheol | CONFERENCE | 397 |
| 2020-11 | Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks | Yoo, Cheolhee; Lee, Yeonsu; Cho, Dongjin; Im, Jungho; Han, Daehyeon | ARTICLE | 376 |
| 2023-02 | Precipitation nowcasting using ground radar data and artificial intelligence over Korean Peninsula | Im, Jungho; Han, Daehyeon | Doctoral thesis | 521 |
| 2023-12 | Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning | Han, Daehyeon; Choo, Minki; Im, Jungho; Shin, Yeji; Lee, Juhyun; Jung, Sihun | ARTICLE | 998 |
| 2020-03 | Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks | Kim, Young Jun; Kim, Hyun-Cheol; Han, Daehyeon; Lee, Sanggyun; Im, Jungho | ARTICLE | 716 |
| 2021-12 | Rainfall intensity estimation using geostationary satellite data based on machine learning: A case study in the korean peninsula in summer | Shin, Yeji; Han, Daehyeon; Im, Jungho | ARTICLE | 763 |
| 2023-01 | Remote sensing of sea surface salinity: challenges and research directions | Kim, Young Jun; Han, Daehyeon; Jang, Eunna; Im, Jungho; Sung, Taejun | ARTICLE | 304 |
| 2019-08 | Retrieval of total precipitable water from Himawari-8 AHI data: A comparison of random forest, extreme gradient boosting, and deep neural network | Lee, Yeonjin; Han, Daehyeon; Ahn, Myoung-Hwan; Im, Jungho; Lee, Su Jeong | ARTICLE | 613 |
| 2021-10 | Sensitivity analysis for CAS500-4 atmospheric correction using simulated images and suggestion of the use of geostationary satellite-based atmospheric parameters | Kang, Yoojin; Cho, Dongjin; Han, Daehyeon; Im, Jungho; Lim, Joongbi; Oh, Kum-hui; Kwon, Eonhye | ARTICLE | 374 |
| 2020-11 | Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output | Park, Sumin; Im, Jungho; Han, Daehyeon; Rhee, Jinyoung | ARTICLE | 347 |
