| Global sea surface salinity via the synergistic use of SMAP satellite and HYCOM data based on machine learning E Jang, YJ Kim, J Im, YG Park, T Sung Remote sensing of environment 273, 112980, 2022 | 31 | 2022 |
| Remote sensing of sea surface salinity: challenges and research directions YJ Kim, D Han, E Jang, J Im, T Sung GIScience & Remote Sensing 60 (1), 2166377, 2023 | 12 | 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 | 6 | 2023 |
| Estimation of high resolution sea surface salinity using multi satellite data and machine learning T Sung, S Sim, E Jang, J Im 대한원격탐사학회, 2022 | 6 | 2022 |
| 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 |
| Estimation of fractional urban tree canopy cover through machine learning using optical satellite images S Bae, B Son, T Sung, Y Lee, J Im, Y Kang Korean Journal of Remote Sensing 39 (5_3), 1009-1029, 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 대한원격탐사학회, 2021 | 1 | 2021 |
| Deep learning-based gap filling for near real-time seamless daily global sea surface salinity using satellite observations E Jang, D Han, J Im, T Sung, YJ Kim International Journal of Applied Earth Observation and Geoinformation 132 …, 2024 | | 2024 |
| 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 | | 2024 |
| Exploring the Viability of Environmental Information in Machine Learning-based Wildfire Detection T Sung, Y Kang, J Im AGU Fall Meeting Abstracts 2023 (784), GC51M-0784, 2023 | | 2023 |
| A Deep Learning-based Carbon Flux Estimation with A Synergistic Use of Multi-source Remote Sensing Data for Urban Carbon Monitoring T Sung, B Son, J Im, J Lee, D Bae, J Kim, S Jeong AGU Fall Meeting Abstracts 2023 (1976), B13F-1976, 2023 | | 2023 |
| A robust deep learning-based active fire detection model in diverse environments by fusion of satellite and numerical model data T Sung, Y Kang, J Im EGU General Assembly Conference Abstracts, EGU-4969, 2023 | | 2023 |
| 인공지능을 이용한 해수면 염분 보간 E Jang, D Han, J Im, T Sung, S Jung 2022 대한원격탐사학회 추계학술대회, 2022 | | 2022 |
| Near Real-Time Seamless Daily Global Sea Surface Salinity Using Satellite Observations and Deep Learning E Jang, D Han, J Im, T Sung, YJ Kim Available at SSRN 4727387, 0 | | |
