| Matching high resolution satellite data and flux tower footprints improves their agreement in photosynthesis estimates J Kong, Y Ryu, J Liu, B Dechant, C Rey-Sanchez, R Shortt, D Szutu, ... Agricultural and Forest Meteorology 316, 108878, 2022 | 31 | 2022 |
| Evaluation of four image fusion NDVI products against in-situ spectral-measurements over a heterogeneous rice paddy landscape J Kong, Y Ryu, Y Huang, B Dechant, R Houborg, K Guan, X Zhu Agricultural and Forest Meteorology 297, 108255, 2021 | 22 | 2021 |
| Tracking diurnal to seasonal variations of gross primary productivity using a geostationary satellite, GK-2A advanced meteorological imager S Jeong, Y Ryu, B Dechant, X Li, J Kong, W Choi, M Kang, J Yeom, J Lim, ... Remote Sensing of Environment 284, 113365, 2023 | 9 | 2023 |
| Super resolution of historic Landsat imagery using a dual generative adversarial network (GAN) model with CubeSat constellation imagery for spatially enhanced long-term … J Kong, Y Ryu, S Jeong, Z Zhong, W Choi, J Kim, K Lee, J Lim, K Jang, ... ISPRS Journal of Photogrammetry and Remote Sensing 200, 1-23, 2023 | 5 | 2023 |
| Monitoring canopy photosynthesis in high spatial and temporal resolution using CubeSat imagery J Kong, Y Ryu, R Houborg, M Kang AGU Fall Meeting Abstracts 2019, B11F-2397, 2019 | 2 | 2019 |
| Persistent Global Greening Over the Last Four Decades Using Novel Long-term Vegetation Index Data with Enhanced Temporal Consistency S Jeong, Y Ryu, P Gentine, X Lian, J Fang, X Li, J Kong, W Choi, C Jiang, ... EarthArXiv, 2023 | 1 | 2023 |
| Evaluation of the performance of image fusion products using drone-based hyperspectral imagery on multiple land covers S Hahn, Y Ryu, J Kong, W Choi AGU23, 2023 | | 2023 |
| Temporally Consistent Vegetation Indices Show Persistent Greening Trend Over Four Decades S Jeong, Y Ryu, P Gentine, X Lian, J Fang, X Li, J Kong, W Choi, C Jiang, ... AGU23, 2023 | | 2023 |
| Forest Height Estimation: An Adaptive Deep-learning Approach Incorporating PFTs and Vegetation Seasonality C Choi, Y Ryu, T Yang, R Kwon, S Jeong, J Kong AGU23, 2023 | | 2023 |
| Transformer Networks for Cloud and Cloud Shadow detection in Landsat-8 and Sentinel-2 Imagery Z Zhong, Y Ryu, J Kong, J Lee, Y Yan, R Kwon, T Yang, H Feng AGU Fall Meeting Abstracts 2022, B41F-01, 2022 | | 2022 |
| Super Resolution of Historic Landsat Imagery Using a GAN model with CubeSat Constellation Imagery J Kong, Y Ryu, S Jeong, Z Zhong, W Choi, J Kim, R Houborg AGU Fall Meeting Abstracts 2022, B45I-1823, 2022 | | 2022 |
| GEO-SIF: A continental-scale, hourly reconstructed solar-induced fluorescence product derived from OCO-3 and GK-2A over Eastern Asia and Oceania S Jeong, Y Ryu, X Li, B Dechant, J Kong, W Choi AGU Fall Meeting Abstracts 2022, GC26B-02, 2022 | | 2022 |
| Generating Daily Gap-filled BRDF Adjusted Surface Reflectance Products with 10 m Resolution Using Geostationary Satellite J Kong, Y Ryu, S Jeong, W Choi, H Mamo Authorea Preprints, 2022 | | 2022 |
| Drone Based Evaluation of Spatial Variability in Satellite Surface Reflectance Products W Choi, Y Ryu, J Kong, S Jeong AGU Fall Meeting Abstracts 2021, B55Q-10, 2021 | | 2021 |
| Generating Diurnal to Seasonal Bidirectional Reflectance Factors from GK-2A Geostationary Satellite S Jeong, Y Ryu, J Kong, W Choi AGU Fall Meeting Abstracts 2020, B009-16, 2020 | | 2020 |
| Characterization of the spatial variability of bidirectional reflectance distribution function parameters over a heterogeneous rice paddy landscape J Kong, Y Ryu, B Dechant, S Jeong, W Choi AGU Fall Meeting Abstracts 2020, B009-14, 2020 | | 2020 |
| Estimation of Rice Paddy Methane Emissions from Continuous Meteorological and Hyperspectral Observations with Deep Learning B Li, Y Ryu, B Dechant, J Kong, Y Yan, M Kang AGU Fall Meeting Abstracts 2019, B13O-2499, 2019 | | 2019 |
| Evaluation of three high spatio-temporal image fusion products using in-situ spectral measurements J Kong, Y Ryu, Y Huang, K Guan, R Houborg, X Zhu AGU Fall Meeting Abstracts 2018, B31M-2661, 2018 | | 2018 |
| Quantifying the Uncertainty in High Spatial and Temporal Resolution Synthetic Land Surface Reflectance at Pixel Level Using Ground-Based Measurements J Kong, Y Ryu AGU Fall Meeting Abstracts 2017, B31D-2012, 2017 | | 2017 |
| Maize Mapping and Productivity Forecasting without In-situ Labels, Leveraging Artificial Intelligence and Cloud-computed Multi-Source Data R Kwon, Y Ryu, H Feng, S Jeong, J Kong, C Choi AGU23, 0 | | |
Youngryel Ryu (류영렬)Professor, Seoul National University, Republic of KoreaVerified email at snu.ac.kr
