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Jungho Im
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2020 – today
- 2024
- [j46]Yoojin Kang
, Jungho Im:
Mitigating underestimation of fire emissions from the Advanced Himawari Imager: A machine learning and multi-satellite ensemble approach. Int. J. Appl. Earth Obs. Geoinformation 128: 103784 (2024) - [j45]Eunna Jang
Deep learning-based gap filling for near real-time seamless daily global sea surface salinity using satellite observations. Int. J. Appl. Earth Obs. Geoinformation 132: 104029 (2024) - [j44]Seongmun Sim
Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML. Remote. Sens. 16(13): 2348 (2024) - [j43]Jaese Lee
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. 17: 14862-14873 (2024) - [j42]Taejun Sung
Enhancing Satellite-Based Wildfire Monitoring: Advanced Contextual Model Using Environmental and Structural Information. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - 2023
- [j41]Siwoo Lee, Cheolhee Yoo
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 122: 103408 (2023) - [j40]Ye Ma
Novel Features of Canopy Height Distribution for Aboveground Biomass Estimation Using Machine Learning: A Case Study in Natural Secondary Forests. Remote. Sens. 15(18): 4364 (2023) - [j39]Seongmun Sim
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. 16: 7819-7837 (2023) - 2022
- [j38]Cheolhee Yoo
Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest. Int. J. Appl. Earth Obs. Geoinformation 110: 102827 (2022) - [j37]You-Hyun Baek, Il-Ju Moon
A Novel Tropical Cyclone Size Estimation Model Based on a Convolutional Neural Network Using Geostationary Satellite Imagery. Remote. Sens. 14(2): 426 (2022) - [j36]Sihun Jung
High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension. Remote. Sens. 14(3): 575 (2022) - [j35]Dongjin Cho
All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning. Remote. Sens. 14(8): 1815 (2022) - [j34]Man Wang, Jungho Im
Multi-Platform LiDAR for Non-Destructive Individual Aboveground Biomass Estimation for Changbai Larch (Larix olgensis Henry) Using a Hierarchical Bayesian Approach. Remote. Sens. 14(17): 4361 (2022) - [j33]Yeji Shin
An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared Channels. Remote. Sens. 14(19): 4800 (2022) - [j32]Seonyoung Park, Jaese Lee
Performance of Drought Indices in Assessing Rice Yield in North Korea and South Korea under the Different Agricultural Systems. Remote. Sens. 14(23): 6161 (2022) - 2021
- [j31]Haemi Park
Estimation of Spatially Continuous Near-Surface Relative Humidity Over Japan and South Korea. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 8614-8626 (2021) - 2020
- [j30]Juhyun Lee, Jungho Im
Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data. Remote. Sens. 12(1): 108 (2020) - [j29]Junghee Lee, Daehyeon Han
Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery. Remote. Sens. 12(7): 1097 (2020) - [j28]Cheolhee Yoo
Estimation of All-Weather 1 km MODIS Land Surface Temperature for Humid Summer Days. Remote. Sens. 12(9): 1398 (2020) - [j27]Jin Xu, Lindi J. Quackenbush, Timothy A. Volk
Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions. Remote. Sens. 12(18): 2934 (2020) - [j26]Sumin Park
Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output. Remote. Sens. 12(21): 3499 (2020) - [j25]Cheolhee Yoo
Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks. Remote. Sens. 12(21): 3552 (2020) - [j24]Sujung Go
Synergistic Use of Hyperspectral UV-Visible OMI and Broadband Meteorological Imager MODIS Data for a Merged Aerosol Product. Remote. Sens. 12(23): 3987 (2020)
2010 – 2019
- 2019
- [j23]Eunna Jang, Yoojin Kang
Detection and Monitoring of Forest Fires Using Himawari-8 Geostationary Satellite Data in South Korea. Remote. Sens. 11(3): 271 (2019) - [j22]Minsang Kim, Myung-Sook Park
Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data. Remote. Sens. 11(10): 1195 (2019) - [j21]Daehyeon Han
A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data. Remote. Sens. 11(12): 1454 (2019) - [j20]Yeonjin Lee, Daehyeon Han
Retrieval of Total Precipitable Water from Himawari-8 AHI Data: A Comparison of Random Forest, Extreme Gradient Boosting, and Deep Neural Network. Remote. Sens. 11(15): 1741 (2019) - [j19]Siqi Li, Lindi J. Quackenbush, Jungho Im
Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery. Remote. Sens. 11(16): 1906 (2019) - [j18]Jungho Im
Advances in Remote Sensing-Based Disaster Monitoring and Assessment. Remote. Sens. 11(18): 2181 (2019) - [j17]Maolin Liu
Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation. Remote. Sens. 11(22): 2612 (2019) - 2018
- [j16]Seonyoung Park
Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data. Remote. Sens. 10(3): 447 (2018) - [j15]Seongmun Sim
Icing Detection over East Asia from Geostationary Satellite Data Using Machine Learning Approaches. Remote. Sens. 10(4): 631 (2018) - [j14]Seonyoung Park
Prediction of Drought on Pentad Scale Using Remote Sensing Data and MJO Index through Random Forest over East Asia. Remote. Sens. 10(11): 1811 (2018) - [j13]Miae Kim
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. 11(12): 4604-4617 (2018) - 2017
- [j12]Miae Kim
Detection of Tropical Overshooting Cloud Tops Using Himawari-8 Imagery. Remote. Sens. 9(7): 685 (2017) - [j11]Eunna Jang, Jungho Im
Estimation of Fugacity of Carbon Dioxide in the East Sea Using In Situ Measurements and Geostationary Ocean Color Imager Satellite Data. Remote. Sens. 9(8): 821 (2017) - 2016
- [j10]Nishan Bhattarai
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 49: 75-86 (2016) - [j9]Hyangsun Han
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. 8(1): 57 (2016) - [j8]Yinghai Ke, Jungho Im
Downscaling of MODIS One Kilometer Evapotranspiration Using Landsat-8 Data and Machine Learning Approaches. Remote. Sens. 8(3): 215 (2016) - [j7]Sanggyun Lee, Jungho Im
Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection. Remote. Sens. 8(9): 698 (2016) - 2015
- [j6]Hyangsun Han
Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches. Remote. Sens. 7(7): 9184-9204 (2015) - [j5]Ju Hyoung Lee, Jungho Im
A Novel Bias Correction Method for Soil Moisture and Ocean Salinity (SMOS) Soil Moisture: Retrieval Ensembles. Remote. Sens. 7(12): 16045-16061 (2015) - [c3]Seonyoung Park
AMSR2 soil moisture downscaling using multisensor products through machine learning approach. IGARSS 2015: 1984-1987 - [c2]Sanggyun Lee, Jungho Im, Myong-In Lee
The spatiotemporal variations of CO2 in the troposphere using multi-sensor satellite data and aircraft observation. IGARSS 2015: 2214-2217 - 2014
- [j4]Jinyoung Rhee
Estimating High Spatial Resolution Air Temperature for Regions with Limited in situ Data Using MODIS Products. Remote. Sens. 6(8): 7360-7378 (2014) - [j3]Manqi Li, Jungho Im
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. 7(7): 3143-3156 (2014) - 2012
- [j2]Jungho Im
Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing. Remote. Sens. 4(2): 327-353 (2012) - 2010
- [j1]Zhongwu Wang, John R. Jensen, Jungho Im
An automatic region-based image segmentation algorithm for remote sensing applications. Environ. Model. Softw. 25(10): 1149-1165 (2010)
2000 – 2009
- 2005
- [c1]Jungho Im
Development of a remote sensing change detection system based on neighborhood correlation image analysis and intelligent knowledge-based systems. IGARSS 2005: 2129-2132
Coauthor Index
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