Estimation of soil moisture using deep learning based on satellite data: a case study of South Korea by Chang suk Lee, Eunha Sohn, Jun Dong Park, Jae-Dong Jang

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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 by Jong-Min Yeom, Seonyoung Park, Taebyeong Chae, Jin-Young Kim, Chang Suk Lee

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Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea by Jong-Min Yeom, Ravinesh C Deo, Jan F Adamowski, Seonyoung Park, Chang-Suk Lee

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Initial Radiometric Characteristics of KOMPSAT-3A Multispectral Imagery Using the 6S Radiative Transfer Model, Well-Known Radiometric Tarps, and MFRSR Measurements by Jong-Min Yeom, Jisoo Hwang, Jae-Heon Jung, Kwon-Ho Lee, Chang-Suk Lee

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Updating Absolute Radiometric Characteristics for KOMPSAT-3 and KOMPSAT-3A Multispectral Imaging Sensors Using Well-Characterized Pseudo-Invariant Tarps and Microtops II by Jong-Min Yeom, Jonghan Ko, Jisoo Hwang, Chang-Suk Lee, Chul-Uong Choi, Seungtaek Jeong

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Long-Term Variability of Surface Albedo and Its Correlation with Climatic Variables over Antarctica by Minji Seo, Hyun-Cheol Kim, Morang Huh, Jong-Min Yeom, Chang Suk Lee, Kyeong-Sang Lee, Sungwon Choi, Kyung-Soo Han

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Surface albedo from the geostationary Communication, Ocean and Meteorological Satellite (COMS)/Meteorological Imager (MI) observation system by Chang Suk Lee, Kyung-Soo Han, Jong-Min Yeom, Kyeong-sang Lee, Minji Seo, Jinkyu Hong, Je-Woo Hong, Keunmin Lee, Jinho Shin, In-Chul Shin, Junghwa Chun, Jean-Louis Roujean

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