| Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images C Yoo, D Han, J Im, B Bechtel ISPRS Journal of Photogrammetry and Remote Sensing 157, 155-170, 2019 | 200 | 2019 |
| Comparative assessment of various machine learning‐based bias correction methods for numerical weather prediction model forecasts of extreme air temperatures in urban areas D Cho, C Yoo, J Im, DH Cha Earth and Space Science 7 (4), e2019EA000740, 2020 | 157 | 2020 |
| 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 | 149 | 2018 |
| Estimation of daily maximum and minimum air temperatures in urban landscapes using MODIS time series satellite data C Yoo, J Im, S Park, LJ Quackenbush ISPRS journal of photogrammetry and remote sensing 137, 149-162, 2018 | 145 | 2018 |
| Estimating ground-level particulate matter concentrations using satellite-based data: a review M Shin, Y Kang, S Park, J Im, C Yoo, LJ Quackenbush GIScience & Remote Sensing 57 (2), 174-189, 2020 | 85 | 2020 |
| Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique D Cho, C Yoo, J Im, Y Lee, J Lee GIScience & Remote Sensing 57 (5), 633-649, 2020 | 56 | 2020 |
| Estimation of all-weather 1 km MODIS land surface temperature for humid summer days C Yoo, J Im, D Cho, N Yokoya, J Xia, B Bechtel Remote Sensing 12 (9), 1398, 2020 | 45 | 2020 |
| Improving local climate zone classification using incomplete building data and Sentinel 2 images based on convolutional neural networks C Yoo, Y Lee, D Cho, J Im, D Han Remote Sensing 12 (21), 3552, 2020 | 42 | 2020 |
| Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis data S Park, D Kang, C Yoo, J Im, MI Lee ISPRS Journal of Photogrammetry and Remote Sensing 162, 17-26, 2020 | 40 | 2020 |
| A novel ensemble learning for post-processing of NWP Model's next-day maximum air temperature forecast in summer using deep learning and statistical approaches D Cho, C Yoo, B Son, J Im, D Yoon, DH Cha Weather and Climate Extremes 35, 100410, 2022 | 33 | 2022 |
| Spatial downscaling of MODIS land surface temperature: Recent research trends, challenges, and future directions C Yoo, J Im, S Park, D Cho Korean Journal of Remote Sensing 36 (4), 609-626, 2020 | 26 | 2020 |
| Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest C Yoo, J Im, D Cho, Y Lee, D Bae, P Sismanidis International Journal of Applied Earth Observation and Geoinformation 110 …, 2022 | 23 | 2022 |
| Thermal characteristics of Daegu using land cover data and satellite-derived surface temperature downscaled based on machine learning C Yoo, J Im, S Park, D Cho Korean Journal of Remote Sensing 33 (6_2), 1101-1118, 2017 | 23 | 2017 |
| High-resolution seamless daily sea surface temperature based on satellite data fusion and machine learning over Kuroshio Extension S Jung, C Yoo, J Im Remote Sensing 14 (3), 575, 2022 | 18 | 2022 |
| All-sky 1 km MODIS land surface temperature reconstruction considering cloud effects based on machine learning D Cho, D Bae, C Yoo, J Im, Y Lee, S Lee Remote Sensing 14 (8), 1815, 2022 | 17 | 2022 |
| Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches S Park, H Park, J Im, C Yoo, J Rhee, B Lee, CG Kwon PLoS One 14 (10), e0223362, 2019 | 17 | 2019 |
| Analysis of surface urban heat island and land surface temperature using deep learning based local climate zone classification: A case study of suwon and daegu, korea Y Lee, S Lee, J Im, C Yoo 대한원격탐사학회, 2021 | 12 | 2021 |
| Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning J Lee, S Park, J Im, C Yoo, E Seo Journal of Hydrology 609, 127749, 2022 | 10 | 2022 |
| Multi-task Learning Based Tropical Cyclone Intensity Monitoring and Forecasting through Fusion of Geostationary Satellite Data and Numerical Forecasting Model Output J Lee, C Yoo, J Im, Y Shin, D Cho Korean Journal of Remote Sensing 36 (5_3), 1037-1051, 2020 | 8 | 2020 |
| Analysis of thermal environment by urban expansion using KOMPSAT and Landsat 8: Sejong City C Yoo, S Park, Y Kim, D Cho Korean Journal of Remote Sensing 35 (6_4), 1403-1415, 2019 | 6 | 2019 |
Jungho ImUlsan National Institute of Science and Technology在 unist.ac.kr 的电子邮件经过验证
