| Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea S Jeong, J Ko, JM Yeom Science of The Total Environment 802, 149726, 2022 | 107 | 2022 |
| Effect of red-edge and texture features for object-based paddy rice crop classification using RapidEye multi-spectral satellite image data HO Kim, JM Yeom International Journal of Remote Sensing 35 (19), 7046-7068, 2014 | 94 | 2014 |
| Mapping heatwave vulnerability in Korea DW Kim, RC Deo, JS Lee, JM Yeom Natural Hazards 89, 35-55, 2017 | 63 | 2017 |
| Effect of the urban land cover types on the surface temperature: Case study of Ilsan new city HO Kim, JM Yeom Korean Journal of Remote Sensing 28 (2), 203-214, 2012 | 55 | 2012 |
| Spatial mapping of short-term solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional LSTM networks for South Korea JM Yeom, RC Deo, JF Adamowski, S Park, CS Lee Environmental Research Letters 15 (9), 094025, 2020 | 44 | 2020 |
| Monitoring canopy growth and grain yield of paddy rice in South Korea by using the GRAMI model and high spatial resolution imagery M Kim, J Ko, S Jeong, J Yeom, H Kim GIScience & Remote Sensing 54 (4), 534-551, 2017 | 44 | 2017 |
| 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 JM Yeom, S Park, T Chae, JY Kim, CS Lee Sensors 19 (9), 2082, 2019 | 43 | 2019 |
| A study on object-based image analysis methods for land cover classification in agricultural areas HO Kim, JM Yeom Journal of the korean association of geographic information studies 15 (4 …, 2012 | 40 | 2012 |
| Sensitivity of vegetation indices to spatial degradation of RapidEye imagery for paddy rice detection: a case study of South Korea HO Kim, JM Yeom GIScience & remote sensing 52 (1), 1-17, 2015 | 37 | 2015 |
| Exploring solar and wind energy resources in North Korea with COMS MI geostationary satellite data coupled with numerical weather prediction reanalysis variables JM Yeom, RC Deo, JF Adamwoski, T Chae, DS Kim, KS Han, DY Kim Renewable and sustainable energy reviews 119, 109570, 2020 | 35 | 2020 |
| Nationwide projection of rice yield using a crop model integrated with geostationary satellite imagery: a case study in South Korea S Jeong, J Ko, JM Yeom Remote Sensing 10 (10), 1665, 2018 | 33 | 2018 |
| Solar radiation received by slopes using COMS imagery, a physically based radiation model, and GLOBE JM Yeom, YK Seo, DS Kim, KS Han Journal of Sensors 2016 (1), 4834579, 2016 | 33 | 2016 |
| Sensitivity analysis of 6S-based look-up table for surface reflectance retrieval CS Lee, JM Yeom, HL Lee, JJ Kim, KS Han Asia-Pacific Journal of Atmospheric Sciences 51, 91-101, 2015 | 33 | 2015 |
| Evaluation on penetration rate of cloud for incoming solar radiation using geostationary satellite data JM Yeom, KS Han, JJ Kim Asia-Pacific Journal of Atmospheric Sciences 48, 115-123, 2012 | 32 | 2012 |
| Simulation and mapping of rice growth and yield based on remote sensing J Ko, S Jeong, J Yeom, H Kim, JO Ban, HY Kim Journal of Applied Remote Sensing 9 (1), 096067-096067, 2015 | 31 | 2015 |
| Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model J Yeom, S Jeong, G Jeong, CT Ng, RC Deo, J Ko Scientific reports 8 (1), 16121, 2018 | 29 | 2018 |
| Incorporation of machine learning and deep neural network approaches into a remote sensing-integrated crop model for the simulation of rice growth S Jeong, J Ko, T Shin, J Yeom Scientific reports 12 (1), 9030, 2022 | 28 | 2022 |
| Long-term variability of surface albedo and its correlation with climatic variables over Antarctica M Seo, HC Kim, M Huh, JM Yeom, CS Lee, KS Lee, S Choi, KS Han Remote Sensing 8 (12), 981, 2016 | 28 | 2016 |
| 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 | 27 | 2023 |
| Mapping rice area and yield in northeastern asia by incorporating a crop model with dense vegetation index profiles from a geostationary satellite JM Yeom, S Jeong, RC Deo, J Ko GIScience & Remote Sensing 58 (1), 1-27, 2021 | 27 | 2021 |
Jonghan KoChonnam National UniversityΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα jnu.ac.kr
