Jungho Im
Orcid: 0000-0002-4506-6877
According to our database1,
Jungho Im
authored at least 50 papers
between 2005 and 2024.
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Bibliography
2024
Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML.
Remote. Sens., July, 2024
Enhancing Satellite-Based Wildfire Monitoring: Advanced Contextual Model Using Environmental and Structural Information.
IEEE Trans. Geosci. Remote. Sens., 2024
Improved SMAP Soil Moisture Retrieval Using a Deep Neural Network-Based Replacement of Radiative Transfer and Roughness Model.
IEEE Trans. Geosci. Remote. Sens., 2024
ASCAT2SMAP: Image-to-Image Translation to Obtain L-Band-Like Soil Moisture From C-Band Satellite Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Mitigating underestimation of fire emissions from the Advanced Himawari Imager: A machine learning and multi-satellite ensemble approach.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Deep learning-based gap filling for near real-time seamless daily global sea surface salinity using satellite observations.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Novel Features of Canopy Height Distribution for Aboveground Biomass Estimation Using Machine Learning: A Case Study in Natural Secondary Forests.
Remote. Sens., September, 2023
A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023
Improved Ocean-Fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning With SHAP-Based Model Interpretation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
2022
Performance of Drought Indices in Assessing Rice Yield in North Korea and South Korea under the Different Agricultural Systems.
Remote. Sens., December, 2022
Multi-Platform LiDAR for Non-Destructive Individual Aboveground Biomass Estimation for Changbai Larch (Larix olgensis Henry) Using a Hierarchical Bayesian Approach.
Remote. Sens., 2022
An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared Channels.
Remote. Sens., 2022
High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension.
Remote. Sens., 2022
All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning.
Remote. Sens., 2022
A Novel Tropical Cyclone Size Estimation Model Based on a Convolutional Neural Network Using Geostationary Satellite Imagery.
Remote. Sens., 2022
Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Estimation of Spatially Continuous Near-Surface Relative Humidity Over Japan and South Korea.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
2020
Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks.
Remote. Sens., 2020
Remote. Sens., 2020
Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions.
Remote. Sens., 2020
Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output.
Remote. Sens., 2020
Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data.
Remote. Sens., 2020
Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery.
Remote. Sens., 2020
Synergistic Use of Hyperspectral UV-Visible OMI and Broadband Meteorological Imager MODIS Data for a Merged Aerosol Product.
Remote. Sens., 2020
2019
Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation.
Remote. Sens., 2019
Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery.
Remote. Sens., 2019
Retrieval of Total Precipitable Water from Himawari-8 AHI Data: A Comparison of Random Forest, Extreme Gradient Boosting, and Deep Neural Network.
Remote. Sens., 2019
Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data.
Remote. Sens., 2019
Detection and Monitoring of Forest Fires Using Himawari-8 Geostationary Satellite Data in South Korea.
Remote. Sens., 2019
Remote. Sens., 2019
A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data.
Remote. Sens., 2019
2018
Convolutional Neural Network-Based Land Cover Classification Using 2-D Spectral Reflectance Curve Graphs With Multitemporal Satellite Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018
Icing Detection over East Asia from Geostationary Satellite Data Using Machine Learning Approaches.
Remote. Sens., 2018
Prediction of Drought on Pentad Scale Using Remote Sensing Data and MJO Index through Random Forest over East Asia.
Remote. Sens., 2018
Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data.
Remote. Sens., 2018
2017
Remote. Sens., 2017
Estimation of Fugacity of Carbon Dioxide in the East Sea Using In Situ Measurements and Geostationary Ocean Color Imager Satellite Data.
Remote. Sens., 2017
2016
Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection.
Remote. Sens., 2016
Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches.
Remote. Sens., 2016
Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data.
Remote. Sens., 2016
Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate.
Int. J. Appl. Earth Obs. Geoinformation, 2016
2015
A Novel Bias Correction Method for Soil Moisture and Ocean Salinity (SMOS) Soil Moisture: Retrieval Ensembles.
Remote. Sens., 2015
Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches.
Remote. Sens., 2015
AMSR2 soil moisture downscaling using multisensor products through machine learning approach.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
The spatiotemporal variations of CO2 in the troposphere using multi-sensor satellite data and aircraft observation.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Estimating High Spatial Resolution Air Temperature for Regions with Limited<i> in situ</i> Data Using MODIS Products.
Remote. Sens., 2014
2012
Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing.
Remote. Sens., 2012
2010
An automatic region-based image segmentation algorithm for remote sensing applications.
Environ. Model. Softw., 2010
2005
Development of a remote sensing change detection system based on neighborhood correlation image analysis and intelligent knowledge-based systems.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2005