Seungtaek Jeong

Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea

Seungtaek Jeong, Jonghan Ko, Jong‐Min Yeom · The Science of The Total Environment · 2021 · 144 citations · Full text

Agriculture, Agronomy, Crop Sciences +17

Development of Variable Threshold Models for detection of irrigated paddy rice fields and irrigation timing in heterogeneous land cover

Seungtaek Jeong, Sinkyu Kang, Keunchang Jang et al. · Agricultural Water Management · 2012 · 45 citations

Agriculture, Agronomy, Crop Sciences +13

Monitoring daily evapotranspiration in Northeast Asia using MODIS and a regional Land Data Assimilation System

Keunchang Jang, Sinkyu Kang, Yoon‐Jin Lim et al. · Journal of Geophysical Research Atmospheres · 2013 · 44 citations · Full text

Natural Sciences, Earth Sciences, Environmental Sciences +17

Incorporation of machine learning and deep neural network approaches into a remote sensing-integrated crop model for the simulation of rice growth

Seungtaek Jeong, Jonghan Ko, Taehwan Shin et al. · Scientific Reports · 2022 · 44 citations · Full text

Agriculture, Agronomy, Crop Sciences +14

Estimation of the Hourly Aerosol Optical Depth From GOCI Geostationary Satellite Data: Deep Neural Network, Machine Learning, and Physical Models

Jong‐Min Yeom, Seungtaek Jeong, Jong‐Sung Ha et al. · IEEE Transactions on Geoscience and Remote Sensing · 2021 · 38 citations · Full text

Natural Sciences, Earth Sciences, Atmospheric Science +15