Jong‐Min Yeom

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 · 134 citations · Full text

Effect of red-edge and texture features for object-based paddy rice crop classification using RapidEye multi-spectral satellite image data

Hyun-Ok Kim, Jong‐Min Yeom · International Journal of Remote Sensing · 2014 · 70 citations

Precision Agriculture, Engineering, Multispectral Imaging +20

Mapping heatwave vulnerability in Korea

Do‐Woo Kim, Ravinesh C. Deo, Jong-Seol Lee et al. · Natural Hazards · 2017 · 70 citations

Geophysics, Meteorology, Heatwave Vulnerability +5

Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager

Sungchan Jeong, Youngryel Ryu, Benjamin Dechant et al. · Remote Sensing of Environment · 2022 · 50 citations · Full text

Earth Observation, Environmental Monitoring, Engineering +23

Spatial Assessment of Solar Radiation by Machine Learning and Deep Neural Network Models Using Data Provided by the COMS MI Geostationary Satellite: A Case Study in South Korea

Jong‐Min Yeom, Seonyoung Park, Tae-Byeong Chae et al. · Sensors · 2019 · 43 citations · Full text

Earth Observation, Engineering, Machine Learning +17