Jungho Im

Orcid: 0000-0002-4506-6877

According to our database1, Jungho Im authored at least 44 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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

Estimation of All-Weather 1 km MODIS Land Surface Temperature for Humid Summer Days.
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

Advances in Remote Sensing-Based Disaster Monitoring and Assessment.
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
Detection of Tropical Overshooting Cloud Tops Using Himawari-8 Imagery.
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


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