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Im, Jungho (임정호)

Department: Department of Urban and Environmental Engineering(도시환경공학과)

Website: http://iris.unist.ac.kr/

Lab: Intelligent Remote sensing and geospatial Information Science Lab. (환경원격탐사/인공지능 연구실)

Research Keywords: 환경원격탐사, 인공지능, 공간모델링, 재난모니터링, 재난예측, Remote sensing, Geospatial modeling, Disaster monitoring and management, artificial intelligence

Research Interests: The IRIS lab utilizes remote sensing, GIS modeling, and artificial intelligence techniques to broaden and deepen our understanding of the Earth science under climate variability/change, and leverages this knowledge to better manage and control critical functions related to terrestrial, coastal, and polar ecosystems, natural and man-made disasters, water resources, and carbon sequestration.

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Issue Date	Title	Author(s)	Type	View	Altmetrics
2022-08	Geostationary satellite-derived ground-level particulate matter concentrations using real-time machine learning in Northeast Asia	Park, Seohui; Im, Jungho; Kim, Jhoon, et al	ARTICLE	25	Geostationary satellite-derived ground-level particulate matter concentrations using real-time machine learning in Northeast Asia
2022-06	Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning	Lee, Jaese; Park, Sumin; Im, Jungho, et al	ARTICLE	124	Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning
2022-06	Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest	Yoo, Cheolhee; Im, Jungho; Cho, Dongjin, et al	ARTICLE	16	Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest
2022-05	Global sea surface salinity via the synergistic use of SMAP satellite and HYCOM data based on machine learning	Jang, Eunna; Kim, Young Jun; Im, Jungho, et al	ARTICLE	98	Global sea surface salinity via the synergistic use of SMAP satellite and HYCOM data based on machine learning
2022-04	All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning	Cho, Dongjin; Bae, Dukwon; Yoo, Cheolhee, et al	ARTICLE	106	All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning
2022-04	Development of model output statistics based on the least absolute shrinkage and selection operator regression for forecasting next-day maximum temperature in South Korea	Yoon, Donghyuck; Kim, Kyoungmin; Cha, Dong-Hyun, et al	ARTICLE	86	Development of model output statistics based on the least absolute shrinkage and selection operator regression for forecasting next-day maximum temperature in South Korea
2022-03	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	Cho, Dongjin; Yoo, Cheolhee; Son, Bokyung, et al	ARTICLE	61	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
2022-02	High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension	Jung, Sihun; Yoo, Cheolhee; Im, Jungho	ARTICLE	106	High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension
2022-01	Air Quality Forecasts Improved by Combining Data Assimilation and Machine Learning With Satellite AOD	Lee, Seunghee; Park, Seohui; Lee, Myong-In, et al	ARTICLE	143	Air Quality Forecasts Improved by Combining Data Assimilation and Machine Learning With Satellite AOD
2022-01	A Novel Tropical Cyclone Size Estimation Model Based on a Convolutional Neural Network Using Geostationary Satellite Imagery	Baek, You-Hyun; Moon, Il-Ju; Im, Jungho, et al	ARTICLE	101	A Novel Tropical Cyclone Size Estimation Model Based on a Convolutional Neural Network Using Geostationary Satellite Imagery
2022-01	Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia	Kang, Yoojin; Kim, Miae; Kang, Eunjin, et al	ARTICLE	79	Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia
2021-12	Rainfall intensity estimation using geostationary satellite data based on machine learning: A case study in the korean peninsula in summer	Shin, Yeji; Han, Daehyeon; Im, Jungho	ARTICLE	237	Rainfall intensity estimation using geostationary satellite data based on machine learning: A case study in the korean peninsula in summer
2021-12	Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO2 Concentrations: A Case Study for Seoul, Korea	Kang, Eunjin; Yoo, Cheolhee; Shin, Yeji, et al	ARTICLE	260	Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO2 Concentrations: A Case Study for Seoul, Korea
2021-12	Estimation of Leaf Area Index Based on Machine Learning/PROSAIL Using Optical Satellite Imagery	Lee, Jaese; Kang, Yoojin; Son, Bokyung, et al	ARTICLE	163	Estimation of Leaf Area Index Based on Machine Learning/PROSAIL Using Optical Satellite Imagery
2021-11	Estimation of surface-level NO2 and O-3 concentrations using TROPOMI data and machine learning over East Asia	Kang, Yoojin; Choi, Hyunyoung; Im, Jungho, et al	ARTICLE	108	Estimation of surface-level NO2 and O-3 concentrations using TROPOMI data and machine learning over East Asia
2021-10	Detection of Forest Fire Damage from Sentinel-1 SAR Data through the Synergistic Use of Principal Component Analysis and K-means Clustering [Sentinel-1 SAR K-means Clustering]	Lee, Jaese; Kim, Woohyeok; Im, Jungho, et al	ARTICLE	190	Detection of Forest Fire Damage from Sentinel-1 SAR Data through the Synergistic Use of Principal Component Analysis and K-means Clustering [Sentinel-1 SAR K-means Clustering]
2021-10	Detection of arctic summer melt ponds using icesat-2 altimetry data	Han, Daehyeon; Kim, Young Jun; Jung, Sihun, et al	ARTICLE	139	Detection of arctic summer melt ponds using icesat-2 altimetry data
2021-10	Spatial downscaling of ocean colour-climate change initiative (OC-CCI) Forel-Ule Index using GOCI satellite image and machine learning technique	Sung, Taejun; Kim, Young Jun; Choi, Hyunyoung, et al	ARTICLE	137	Spatial downscaling of ocean colour-climate change initiative (OC-CCI) Forel-Ule Index using GOCI satellite image and machine learning technique
2021-10	One year of GOCI-II launch present and future	Choi, Jong-kuk; Park, Myung-sook; Han, Kyung-soo, et al	ARTICLE	94	One year of GOCI-II launch present and future
2021-10	Sensitivity analysis for CAS500-4 atmospheric correction using simulated images and suggestion of the use of geostationary satellite-based atmospheric parameters	Kang, Yoojin; Cho, Dongjin; Han, Daehyeon, et al	ARTICLE	98	Sensitivity analysis for CAS500-4 atmospheric correction using simulated images and suggestion of the use of geostationary satellite-based atmospheric parameters

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