The Modified SEBAL for Mapping Daily Spatial Evapotranspiration of South Korea Using Three Flux Towers and Terra MODIS Data. - Yonggwan Lee; Seongjoon Kim (Remote. Sens., 2016)

A Study of Spatial Soil Moisture Estimation Using a Multiple Linear Regression Model and MODIS Land Surface Temperature Data Corrected by Conditional Merging. - Chung Il Jung; Yonggwan Lee; Younghyun Cho; Seongjoon Kim (Remote. Sens., 2017)

Development of an EPIC parallel computing framework to facilitate regional/global gridded crop modeling with multiple scenarios: A case study of the United States. - Won Seok Jang; Yonggwan Lee; Jason C. Neff; Youngbin Im; Sangtae Ha; Luca Doro (Comput. Electron. Agric., 2019)

Correlation Analysis between Air Temperature and MODIS Land Surface Temperature and Prediction of Air Temperature Using TensorFlow Long Short-Term Memory for the Period of Occurrence of Cold and Heat Waves. - Jeehun Chung; Yonggwan Lee; Wonjin Jang; Siwoon Lee; Seongjoon Kim (Remote. Sens., 2020)

Performance Evaluation of the Multiple Quantile Regression Model for Estimating Spatial Soil Moisture after Filtering Soil Moisture Outliers. - Chunggil Jung; Yonggwan Lee; Jiwan Lee; Seongjoon Kim (Remote. Sens., 2020)

Soil Moisture Content Estimation Based on Sentinel-1 SAR Imagery Using an Artificial Neural Network and Hydrological Components. - Jeehun Chung; Yonggwan Lee; Jinuk Kim; Chunggil Jung; Seongjoon Kim (Remote. Sens., 2022)