ScholarWorks: Researcher Page

BROWSE

ScholarWorks

Researcher Page

Im, Jungho (임정호)

Department: Department of Civil, Urban, Earth, and Environmental Engineering(지구환경도시건설공학과)

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.

This table browses all dspace content
Issue Date	Title	Author(s)	Type	View	Altmetrics
2022-10	Estimation of High Resolution Sea Surface Salinity Using Multi Satellite Data and Machine Learning	Sung, Taejun; Sim, Seongmun; Jang, Eunna, et al	ARTICLE	584	Estimation of High Resolution Sea Surface Salinity Using Multi Satellite Data and Machine Learning
2022-10	Forest Burned Area Detection Using Landsat 8/9 and Sentinel-2 A/B Imagery with Various Indices: A Case Study of Uljin	Kim, Byeongcheol; Lee, Kyungil; Park, Seonyoung, et al	ARTICLE	439	Forest Burned Area Detection Using Landsat 8/9 and Sentinel-2 A/B Imagery with Various Indices: A Case Study of Uljin
2022-10	Disaster Prediction, Monitoring, and Response Using Remote Sensing and GIS	Kim, Junwoo; Kim, Duk-jin; Sohn, Hong-Gyoo, et al	ARTICLE	496	Disaster Prediction, Monitoring, and Response Using Remote Sensing and GIS
2022-10	Generation of Daily High-resolution Sea Surface Temperature for the Seas around the Korean Peninsula Using Multi-satellite Data and Artificial Intelligence	Jung, Sihun; Choo, Minki; Im, Jungho, et al	ARTICLE	484	Generation of Daily High-resolution Sea Surface Temperature for the Seas around the Korean Peninsula Using Multi-satellite Data and Artificial Intelligence
2022-09	Multi-Platform LiDAR for Non-Destructive Individual Aboveground Biomass Estimation for Changbai Larch (Larix olgensis Henry) Using a Hierarchical Bayesian Approach	Wang, Man; Im, Jungho; Zhao, Yinghui, et al	ARTICLE	335	Multi-Platform LiDAR for Non-Destructive Individual Aboveground Biomass Estimation for Changbai Larch (Larix olgensis Henry) Using a Hierarchical Bayesian Approach
2022-09	스태킹 앙상블 모델을 이용한 시간별 지상 오존 공간내삽 정확도 향상	김예진; 강은진; 조동진, et al	ARTICLE	185	스태킹 앙상블 모델을 이용한 시간별 지상 오존 공간내삽 정확도 향상
2022-09	우리나라 연안 대형저서동물 시·공간 군집 특성 분석	김영준; 임정호; 조춘옥, et al	ARTICLE	283	우리나라 연안 대형저서동물 시·공간 군집 특성 분석
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	306	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	413	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	303	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	303	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	423	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	454	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	429	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	388	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	713	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	361	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	396	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	814	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	940	Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO2 Concentrations: A Case Study for Seoul, Korea

1 2 3 4 5 6 7 8 9

STATISTICS: Total View :32,598,143; Total Download :4,909,441; Today View :1,953

RSS 1.0 RSS 2.0

BROWSE

Researcher Page

MENU