| 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 | 91 | 2014 |
| 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 | 79 | 2022 |
| Mapping heatwave vulnerability in Korea DW Kim, RC Deo, JS Lee, JM Yeom Natural Hazards 89, 35-55, 2017 | 53 | 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 | 53 | 2012 |
| 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 | 42 | 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 | 39 | 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 | 37 | 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 | 35 | 2015 |
| 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 | 33 | 2020 |
| 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 | 31 | 2020 |
| 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 |
| 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 | 31 | 2012 |
| 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 | 30 | 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 | 30 | 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 | 29 | 2015 |
| 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 | 27 | 2016 |
| 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 | 26 | 2018 |
| Application of an unmanned aerial system for monitoring paddy productivity using the GRAMI-rice model S Jeong, J Ko, J Choi, W Xue, J Yeom International journal of remote sensing 39 (8), 2441-2462, 2018 | 25 | 2018 |
| Feasibility of using Geostationary Ocean Colour Imager (GOCI) data for land applications after atmospheric correction and bidirectional reflectance distribution function modelling JM Yeom, HO Kim International journal of remote sensing 34 (20), 7329-7339, 2013 | 25 | 2013 |
| Improved estimation of surface solar insolation using a neural network and MTSAT-1R data JM Yeom, KS Han Computers & geosciences 36 (5), 590-597, 2010 | 25 | 2010 |
Jonghan KoChonnam National University在 jnu.ac.kr 的电子邮件经过验证
