| Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks YJ Kim, HC Kim, D Han, S Lee, J Im The Cryosphere 14 (3), 1083-1104, 2020 | 80 | 2020 |
| Arctic sea ice thickness estimation from CryoSat-2 satellite data using machine learning-based lead detection S Lee, J Im, J Kim, M Kim, M Shin, H Kim, LJ Quackenbush Remote Sensing 8 (9), 698, 2016 | 78 | 2016 |
| Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data S Lee, H Han, J Im, E Jang, MI Lee Atmospheric Measurement Techniques 10 (5), 1859-1874, 2017 | 62 | 2017 |
| Detection of convective initiation using Meteorological Imager onboard Communication, Ocean, and Meteorological Satellite based on machine learning approaches H Han, S Lee, J Im, M Kim, MI Lee, MH Ahn, SR Chung Remote Sensing 7 (7), 9184-9204, 2015 | 59 | 2015 |
| Landfast sea ice monitoring using multisensor fusion in the Antarctic M Kim, J Im, H Han, J Kim, S Lee, M Shin, HC Kim GIScience & Remote Sensing 52 (2), 239-256, 2015 | 57 | 2015 |
| A novel framework of detecting convective initiation combining automated sampling, machine learning, and repeated model tuning from geostationary satellite data D Han, J Lee, J Im, S Sim, S Lee, H Han Remote Sensing 11 (12), 1454, 2019 | 41 | 2019 |
| Machine learning approaches to retrieve pan-Arctic melt ponds from visible satellite imagery S Lee, J Stroeve, M Tsamados, AL Khan Remote Sensing of Environment 247, 111919, 2020 | 37 | 2020 |
| CryoSat Ice Baseline-D validation and evolutions M Meloni, J Bouffard, T Parrinello, G Dawson, F Garnier, V Helm, ... The Cryosphere 14 (6), 1889-1907, 2020 | 27 | 2020 |
| Intercomparison of terrestrial carbon fluxes and carbon use efficiency simulated by CMIP5 earth system models D Kim, MI Lee, SJ Jeong, J Im, DH Cha, S Lee Asia-Pacific Journal of Atmospheric Sciences 54, 145-163, 2018 | 22 | 2018 |
| Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data S Lee, H Kim, J Im The Cryosphere 12 (5), 1665-1679, 2018 | 20 | 2018 |
| Object-based landfast sea ice detection over West Antarctica using time series ALOS PALSAR data M Kim, HC Kim, J Im, S Lee, H Han Remote sensing of environment 242, 111782, 2020 | 18 | 2020 |
| Estimation of water quality index for coastal areas in Korea using GOCI satellite data based on machine learning approaches E Jang, J Im, S Ha, S Lee, YG Park Korean Journal of Remote Sensing 32 (3), 221-234, 2016 | 12 | 2016 |
| Surface roughness signatures of summer arctic snow-covered sea ice in X-band dual-polarimetric SAR H Han, JI Kim, CU Hyun, SH Kim, JW Park, YJ Kwon, S Lee, S Lee, ... GIScience & Remote Sensing 57 (5), 650-669, 2020 | 7 | 2020 |
| CO2 concentration and its spatiotemporal variation in the troposphere using multi-sensor satellite data, carbon tracker, and aircraft observations S Lee, D Kim, J Im, MI Lee, YG Park GIScience & Remote Sensing 54 (4), 592-613, 2017 | 3 | 2017 |
| Inter-comparison of melt pond products from optical satellite imagery S Lee, J Stroeve, M Webster, N Fuchs, DK Perovich Remote Sensing of Environment 301, 113920, 2024 | 1 | 2024 |
| GOCI 위성영상과 기계학습을 이용한 한반도 연안 수질평가지수 추정 장은나， 임정호， 하성현， 이상균， 박영규 대한원격탐사학회지 32 (3), 221-234, 2016 | 1 | 2016 |
| The spatiotemporal variations of CO2 in the troposphere using multi-sensor satellite data and aircraft observation S Lee, J Im, MI Lee 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 1 | 2015 |
| Co-located OLCI optical imagery and SAR altimetry from Sentinel-3 for enhanced surface classification in sea ice W Chen, M Tsamados, R Willatt, D Brockley, M Deisenroth, ... EGU24, 2024 | | 2024 |
| Discrimination of sea ice leads and floes using Deep Learning applied to Sentinel-3 Ocean and Land Colour Instrument (OLCI) imaging spectrometer W Chen, M Tsamados, R Willatt, S Takao, C Nelson, I Lawrence, S Lee, ... EGU General Assembly Conference Abstracts, EGU-17318, 2023 | | 2023 |
| Arctic lead detection using a waveform unmixing algorithm from CryoSat-2 data S Lee, J Im AGU Fall Meeting Abstracts 2016, C13D-0871, 2016 | | 2016 |
