Development of a remote sensing change detection system based on neighborhood correlation image analysis and intelligent knowledge-based systems. - Jungho Im; John R. Jensen; Jason A. Tullis (IGARSS, 2005)

An automatic region-based image segmentation algorithm for remote sensing applications. - Zhongwu Wang; John R. Jensen; Jungho Im (Environ. Model. Softw., 2010)

Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing. - Jungho Im; John R. Jensen; Ryan R. Jensen; John Gladden; Jody Waugh; Mike Serrato (Remote. Sens., 2012)

Estimating High Spatial Resolution Air Temperature for Regions with Limited in situ Data Using MODIS Products. - Jinyoung Rhee; Jungho Im (Remote. Sens., 2014)

Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park. - Manqi Li; Jungho Im; Lindi J. Quackenbush; Tao Liu 020 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

The spatiotemporal variations of CO2 in the troposphere using multi-sensor satellite data and aircraft observation. - Sanggyun Lee; Jungho Im; Myong-In Lee (IGARSS, 2015)

AMSR2 soil moisture downscaling using multisensor products through machine learning approach. - Seonyoung Park; Jungho Im; Sumin Park; Jinyoung Rhee (IGARSS, 2015)

Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches. - Hyangsun Han; Sanggyun Lee; Jungho Im; Miae Kim; Myong-In Lee; Myoung Hwan Ahn; Sung-Rae Chung (Remote. Sens., 2015)

A Novel Bias Correction Method for Soil Moisture and Ocean Salinity (SMOS) Soil Moisture: Retrieval Ensembles. - Ju Hyoung Lee; Jungho Im (Remote. Sens., 2015)

Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate. - Nishan Bhattarai; Stephen B. Shaw; Lindi J. Quackenbush; Jungho Im; Rewati Niraula (Int. J. Appl. Earth Obs. Geoinformation, 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. - Hyangsun Han; Jungho Im; Miae Kim; Seongmun Sim; Jin-Woo Kim; Duk-jin Kim; Sung-Ho Kang (Remote. Sens., 2016)

Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches. - Yinghai Ke; Jungho Im; Seonyoung Park; Huili Gong (Remote. Sens., 2016)

Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection. - Sanggyun Lee; Jungho Im; Jinwoo Kim; Miae Kim; Minso Shin; Hyun-Cheol Kim; Lindi J. Quackenbush (Remote. Sens., 2016)

Estimation of Fugacity of Carbon Dioxide in the East Sea Using In Situ Measurements and Geostationary Ocean Color Imager Satellite Data. - Eunna Jang; Jungho Im; Geun-Ha Park; Young-Gyu Park (Remote. Sens., 2017)

Detection of Tropical Overshooting Cloud Tops Using Himawari-8 Imagery. - Miae Kim; Jungho Im; Haemi Park; Seonyoung Park; Myong-In Lee; Myoung Hwan Ahn (Remote. Sens., 2017)

Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data. - Seonyoung Park; Jungho Im; Seohui Park; Cheolhee Yoo; Hyangsun Han; Jinyoung Rhee (Remote. Sens., 2018)

Prediction of Drought on Pentad Scale Using Remote Sensing Data and MJO Index through Random Forest over East Asia. - Seonyoung Park; Eunkyo Seo; Daehyun Kang; Jungho Im; Myong-In Lee (Remote. Sens., 2018)

Icing Detection over East Asia from Geostationary Satellite Data Using Machine Learning Approaches. - Seongmun Sim; Jungho Im; Sumin Park; Haemi Park; Myoung Hwan Ahn; Pak Wai Chan (Remote. Sens., 2018)

Convolutional Neural Network-Based Land Cover Classification Using 2-D Spectral Reflectance Curve Graphs With Multitemporal Satellite Imagery. - Miae Kim; Junghee Lee; Daehyeon Han; Minso Shin; Jungho Im; Junghye Lee; Lindi J. Quackenbush; Zhu Gu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data. - Daehyeon Han; Juhyun Lee; Jungho Im; Seongmun Sim; Sanggyun Lee; Hyangsun Han (Remote. Sens., 2019)

Advances in Remote Sensing-Based Disaster Monitoring and Assessment. - Jungho Im; Haemi Park; Wataru Takeuchi (Remote. Sens., 2019)

Detection and Monitoring of Forest Fires Using Himawari-8 Geostationary Satellite Data in South Korea. - Eunna Jang; Yoojin Kang; Jungho Im; Dong-Won Lee; Jongmin Yoon; Sang-Kyun Kim (Remote. Sens., 2019)

Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data. - Minsang Kim; Myung-Sook Park; Jungho Im; Seonyoung Park; Myong-In Lee (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. - Yeonjin Lee; Daehyeon Han; Myoung Hwan Ahn; Jungho Im; Su Jeong Lee (Remote. Sens., 2019)

Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery. - Siqi Li; Lindi J. Quackenbush; Jungho Im (Remote. Sens., 2019)

Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation. - Maolin Liu; Yinghai Ke; Qi Yin; Xiuwan Chen; Jungho Im (Remote. Sens., 2019)

Synergistic Use of Hyperspectral UV-Visible OMI and Broadband Meteorological Imager MODIS Data for a Merged Aerosol Product. - Sujung Go; Jhoon Kim; Sang Seo Park; Mijin Kim; Hyun-Kwang Lim; Ji-Young Kim; Dong-Won Lee; Jungho Im (Remote. Sens., 2020)

Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery. - Junghee Lee; Daehyeon Han; Minso Shin; Jungho Im; Junghye Lee; Lindi J. Quackenbush (Remote. Sens., 2020)

Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data. - Juhyun Lee; Jungho Im; Dong-Hyun Cha; Haemi Park; Seongmun Sim (Remote. Sens., 2020)

Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output. - Sumin Park; Jungho Im; Daehyeon Han; Jinyoung Rhee (Remote. Sens., 2020)

Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions. - Jin Xu; Lindi J. Quackenbush; Timothy A. Volk; Jungho Im (Remote. Sens., 2020)

Estimation of All-Weather 1 km MODIS Land Surface Temperature for Humid Summer Days. - Cheolhee Yoo; Jungho Im; Dongjin Cho; Naoto Yokoya; Junshi Xia; Benjamin Bechtel (Remote. Sens., 2020)

Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks. - Cheolhee Yoo; Yeonsu Lee; Dongjin Cho; Jungho Im; Daehyeon Han (Remote. Sens., 2020)

Estimation of Spatially Continuous Near-Surface Relative Humidity Over Japan and South Korea. - Haemi Park; Junghee Lee; Cheolhee Yoo; Seongmun Sim; Jungho Im (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest. - Cheolhee Yoo; Jungho Im; Dongjin Cho; Yeonsu Lee; Dukwon Bae; Panagiotis Sismanidis (Int. J. Appl. Earth Obs. Geoinformation, 2022)

A Novel Tropical Cyclone Size Estimation Model Based on a Convolutional Neural Network Using Geostationary Satellite Imagery. - You-Hyun Baek; Il-Ju Moon; Jungho Im; Juhyun Lee (Remote. Sens., 2022)

All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning. - Dongjin Cho; Dukwon Bae; Cheolhee Yoo; Jungho Im; Yeonsu Lee; Siwoo Lee (Remote. Sens., 2022)

High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension. - Sihun Jung; Cheolhee Yoo; Jungho Im (Remote. Sens., 2022)

An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared Channels. - Yeji Shin; Juhyun Lee; Jungho Im; Seongmun Sim (Remote. Sens., 2022)

Multi-Platform LiDAR for Non-Destructive Individual Aboveground Biomass Estimation for Changbai Larch (Larix olgensis Henry) Using a Hierarchical Bayesian Approach. - Man Wang; Jungho Im; Yinghui Zhao; Zhen Zhen (Remote. Sens., 2022)

Performance of Drought Indices in Assessing Rice Yield in North Korea and South Korea under the Different Agricultural Systems. - Seonyoung Park; Jaese Lee; Jong-Min Yeom; Eunkyo Seo; Jungho Im (Remote. Sens., 2022)

Improved Ocean-Fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning With SHAP-Based Model Interpretation. - Seongmun Sim; Jungho Im (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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. - Siwoo Lee; Cheolhee Yoo; Jungho Im; Dongjin Cho; Yeonsu Lee; Dukwon Bae (Int. J. Appl. Earth Obs. Geoinformation, 2023)

Novel Features of Canopy Height Distribution for Aboveground Biomass Estimation Using Machine Learning: A Case Study in Natural Secondary Forests. - Ye Ma; Lianjun Zhang; Jungho Im; Yinghui Zhao; Zhen Zhen (Remote. Sens., 2023)

Deep learning-based gap filling for near real-time seamless daily global sea surface salinity using satellite observations. - Eunna Jang; Daehyeon Han; Jungho Im; Taejun Sung; Young Jun Kim (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Mitigating underestimation of fire emissions from the Advanced Himawari Imager: A machine learning and multi-satellite ensemble approach. - Yoojin Kang; Jungho Im (Int. J. Appl. Earth Obs. Geoinformation, 2024)

ASCAT2SMAP: Image-to-Image Translation to Obtain L-Band-Like Soil Moisture From C-Band Satellite Data. - Jaese Lee; Sihun Jung; Jungho Im (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Improved SMAP Soil Moisture Retrieval Using a Deep Neural Network-Based Replacement of Radiative Transfer and Roughness Model. - Jaese Lee; Jungho Im; Bokyung Son; Eric G. Cosio; Norma Salinas (IEEE Trans. Geosci. Remote. Sens., 2024)

Enhancing Satellite-Based Wildfire Monitoring: Advanced Contextual Model Using Environmental and Structural Information. - Taejun Sung; Yoojin Kang; Jungho Im (IEEE Trans. Geosci. Remote. Sens., 2024)

Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML. - Seongmun Sim; Jungho Im; Sihun Jung; Daehyeon Han (Remote. Sens., 2024)

Improved hourly all-sky land surface temperature estimation: Incorporating the temporal variability of cloud-radiation interactions. - Dukwon Bae; Dongjin Cho; Jungho Im; Cheolhee Yoo; Yeonsu Lee; Siwoo Lee (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Expanding high-resolution sea surface salinity estimation from coastal seas to open oceans through the synergistic use of multi-source data with machine learning. - Taejun Sung; So-Hyun Kim; Seongmun Sim; Daehyeon Han; Eunna Jang; Jungho Im (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Errata to "Improved SMAP Soil Moisture Retrieval Using a Deep Neural Network-Based Replacement of Radiative Transfer and Roughness Model". - Jaese Lee; Jungho Im; Bokyung Son; Eric G. Cosio; Norma Salinas (IEEE Trans. Geosci. Remote. Sens., 2025)

A framework for upscaling aboveground biomass from an individual tree to landscape level and qualifying the multiscale spatial uncertainties for secondary forests. - Ye Ma; Jungho Im; Zhen Zhen; Yinghui Zhao (Geo spatial Inf. Sci., 2025)