| A novel ensemble learning for post-processing of NWP Model's next-day maximum air temperature forecast in summer using deep learning and statistical approaches D Cho, C Yoo, B Son, J Im, D Yoon, DH Cha Weather and Climate Extremes 35, 100410, 2022 | 33 | 2022 |
| A new drought monitoring approach: Vector Projection Analysis (VPA) B Son, S Park, J Im, S Park, Y Ke, LJ Quackenbush Remote sensing of environment 252, 112145, 2021 | 27 | 2021 |
| Satellite-based Drought Forecasting: Research Trends, Challenges, and Future Directions B Son, J Im, S Park, J Lee Korean Journal of Remote Sensing 37 (4), 815-831, 2021 | 6 | 2021 |
| Development of satellite-based drought indices for assessing wildfire risk S Park, B Son, J Im, J Lee, B Lee, CG Kwon Korean Journal of Remote Sensing 35 (6_3), 1285-1298, 2019 | 6 | 2019 |
| 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 | 5 | 2021 |
| Classification of urban green space using airborne LiDAR and RGB ortho imagery based on deep learning B SON, Y LEE, J IM Journal of the Korean Association of Geographic Information Studies 24 (3 …, 2021 | 5 | 2021 |
| Two-step carbon storage estimation in urban human settlements using airborne LiDAR and Sentinel-2 data based on machine learning Y Lee, B Son, J Im, Z Zhen, LJ Quackenbush Urban Forestry & Urban Greening 94, 128239, 2024 | 2* | 2024 |
| 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 |
| 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 대한원격탐사학회, 2022 | 1 | 2022 |
| A Deep learning-based replacement of Tau-Omega Model for Improved Soil Moisture Retrieval J Lee, J Im, B Son AGU23, 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 AGU23, 2023 | | 2023 |
| Future drought prediction using time-series of drought factors and the US drought monitor data based on deep learning over CONUS B Son, J Lee, J Im, S Park EGU General Assembly Conference Abstracts, EGU-11208, 2023 | | 2023 |
| Machine learning based two-step urban tree carbon storage estimation fusing airborne LiDAR, and Sentinel-2 Y Lee, B Son, J Im EGU General Assembly Conference Abstracts, EGU-12461, 2023 | | 2023 |
| An Improved SMAP Soil Moisture Retrieval using Deep Neural Network-based inversion of a Passive Microwave Radiative Transfer Model J Lee, J Im, B Son AGU Fall Meeting Abstracts 2022, H22R-1077, 2022 | | 2022 |
| Deep learning-based future drought prediction for the US drought monitor B Son, S Park, J Im, J Lee 한국기상학회 학술대회 논문집, 541-541, 2022 | | 2022 |
