Reconstruction of Ocean Color Data Using Machine Learning Techniques in Polar Regions: Focusing on Off Cape Hallett, Ross Sea. - Jinku Park; Jeong-Hoon Kim; Hyun-Cheol Kim; Bong-Kuk Kim; Dukwon Bae; Young-Heon Jo; Naeun Jo; Sang Heon Lee 005 (Remote. Sens., 2019)

Data Reconstruction for Remotely Sensed Chlorophyll-a Concentration in the Ross Sea Using Ensemble-Based Machine Learning. - Jinku Park; Hyun-Cheol Kim; Dukwon Bae; Young-Heon Jo (Remote. Sens., 2020)

Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest. - Cheolhee Yoo; Jungho Im; Dongjin Cho; Yeonsu Lee; Dukwon Bae; Panagiotis Sismanidis (Int. J. Appl. Earth Obs. Geoinformation, 2022)

All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning. - Dongjin Cho; Dukwon Bae; Cheolhee Yoo; Jungho Im; Yeonsu Lee; Siwoo Lee (Remote. Sens., 2022)

A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea. - Siwoo Lee; Cheolhee Yoo; Jungho Im; Dongjin Cho; Yeonsu Lee; Dukwon Bae (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Improved hourly all-sky land surface temperature estimation: Incorporating the temporal variability of cloud-radiation interactions. - Dukwon Bae; Dongjin Cho; Jungho Im; Cheolhee Yoo; Yeonsu Lee; Siwoo Lee (Int. J. Appl. Earth Obs. Geoinformation, 2025)