Cheolhee Yoo
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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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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