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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
2022-03	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	267	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	255	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	383	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	231	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	227	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	596	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	544	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	295	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	236	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	452	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	311	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	358	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	201	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	234	Sensitivity analysis for CAS500-4 atmospheric correction using simulated images and suggestion of the use of geostationary satellite-based atmospheric parameters
2021-10	Disaster assessment, monitoring, and prediction using remote sensing and gis	Jung, Minyoung; Kim, Duk-jin; Sohn, Hong-Gyoo, et al	ARTICLE	186	Disaster assessment, monitoring, and prediction using remote sensing and gis
2021-10	Analysis of Surface Urban Heat Island and Land Surface Temperature Using Deep Learning Based Local Climate Zone Classification: A Case Study of Suwon and Daegu, Korea	Lee, Yeonsu; Lee, Siwoo; Im, Jungho, et al	ARTICLE	760	Analysis of Surface Urban Heat Island and Land Surface Temperature Using Deep Learning Based Local Climate Zone Classification: A Case Study of Suwon and Daegu, Korea
2021-09	항공 LiDAR 및 RGB 정사 영상을 이용한 딥러닝 기반의 도시녹지 분류	손보경; 이연수; 임정호	ARTICLE	292	항공 LiDAR 및 RGB 정사 영상을 이용한 딥러닝 기반의 도시녹지 분류
2021-09	Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period	Kim, Ganghan; Lee, Seunghee; Im, Jungho, et al	ARTICLE	260	Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period
2021-08	Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery	Lee, Juhyun; Kim, Miae; Im, Jungho, et al	ARTICLE	219	Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery
2021-08	Estimation of Spatially Continuous Near-Surface Relative Humidity Over Japan and South Korea	Park, Haemi; Lee, Junghee; Yoo, Cheolhee, et al	ARTICLE	343	Estimation of Spatially Continuous Near-Surface Relative Humidity Over Japan and South Korea

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