| Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data J Rhee, J Im, GJ Carbone Remote Sensing of environment 114 (12), 2875-2887, 2010 | 728 | 2010 |
| Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions S Park, J Im, E Jang, J Rhee Agricultural and forest meteorology 216, 157-169, 2016 | 299 | 2016 |
| Meteorological drought forecasting for ungauged areas based on machine learning: Using long-range climate forecast and remote sensing data J Rhee, J Im Agricultural and Forest Meteorology 237, 105-122, 2017 | 208 | 2017 |
| Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches J Im, S Park, J Rhee, J Baik, M Choi Environmental Earth Sciences 75, 1-19, 2016 | 184 | 2016 |
| Classification and mapping of paddy rice by combining Landsat and SAR time series data S Park, J Im, S Park, C Yoo, H Han, J Rhee Remote Sensing 10 (3), 447, 2018 | 147 | 2018 |
| Drought monitoring using high resolution soil moisture through multi-sensor satellite data fusion over the Korean peninsula S Park, J Im, S Park, J Rhee Agricultural and Forest Meteorology 237, 257-269, 2017 | 140 | 2017 |
| Building type classification using spatial and landscape attributes derived from LiDAR remote sensing data Z Lu, J Im, J Rhee, M Hodgson Landscape and Urban Planning 130, 134-148, 2014 | 122 | 2014 |
| Impervious surface quantification using a synthesis of artificial immune networks and decision/regression trees from multi-sensor data J Im, Z Lu, J Rhee, LJ Quackenbush Remote Sensing of Environment 117, 102-113, 2012 | 112 | 2012 |
| Relationship between land cover patterns and surface temperature in urban areas J Rhee, S Park, Z Lu GIScience & remote sensing 51 (5), 521-536, 2014 | 107 | 2014 |
| A drought index based on actual evapotranspiration from the Bouchet hypothesis D Kim, J Rhee Geophysical Research Letters 43 (19), 10,277-10,285, 2016 | 92 | 2016 |
| Future changes in drought characteristics: regional analysis for South Korea under CMIP5 projections J Rhee, J Cho Journal of Hydrometeorology 17 (1), 437-451, 2016 | 71 | 2016 |
| An automated binary change detection model using a calibration approach J Im, J Rhee, JR Jensen, ME Hodgson Remote Sensing of Environment 106 (1), 89-105, 2007 | 71 | 2007 |
| Delineation of climate regions using in-situ and remotely-sensed data for the Carolinas J Rhee, J Im, GJ Carbone, JR Jensen Remote Sensing of Environment 112 (6), 3099-3111, 2008 | 65 | 2008 |
| A regional-scale drought monitoring tool for the Carolinas GJ Carbone, J Rhee, HP Mizzell, R Boyles Bulletin of the American Meteorological Society 89 (1), 20-28, 2008 | 45 | 2008 |
| Spatio‐temporal characteristics of Indonesian drought related to El Niño events and its predictability using the multi‐model ensemble AM Setiawan, WS Lee, J Rhee International Journal of Climatology 37 (13), 4700-4719, 2017 | 37 | 2017 |
| Downscaling GLDAS soil moisture data in East Asia through fusion of multi-sensors by optimizing modified regression trees S Park, S Park, J Im, J Rhee, J Shin, JD Park Water 9 (5), 332, 2017 | 35 | 2017 |
| Short-term forecasting of satellite-based drought indices using their temporal patterns and numerical model output S Park, J Im, D Han, J Rhee Remote Sensing 12 (21), 3499, 2020 | 30 | 2020 |
| AMSR2 soil moisture downscaling using multisensor products through machine learning approach S Park, J Im, S Park, J Rhee 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2015 | 29 | 2015 |
| Estimating High Spatial Resolution Air Temperature for Regions with Limited in situ Data Using MODIS Products J Rhee, J Im Remote Sensing 6 (8), 7360-7378, 2014 | 28 | 2014 |
| A comparison of weekly monitoring methods of the Palmer Drought Index J Rhee, GJ Carbone Journal of Climate 20 (24), 6033-6044, 2007 | 24 | 2007 |
