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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.

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Issue Date	Title	Author(s)	Type	View	Altmetrics
2020-11	Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output	Park, Sumin; Im, Jungho; Han, Daehyeon, et al	ARTICLE	378	Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output
2020-11	Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks	Yoo, Cheolhee; Lee, Yeonsu; Cho, Dongjin, et al	ARTICLE	413	Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks
2020-11	Developing a New Hourly Forest Fire Risk Index Based on Catboost in South Korea	Kang, Yoojin; Jang, Eunna; Im, Jungho, et al	ARTICLE	517	Developing a New Hourly Forest Fire Risk Index Based on Catboost in South Korea
2020-10	Wildfire Severity Mapping Using Sentinel Satellite Data Based on Machine Learning Approaches	Sim, Seongmun; Kim, Woohyeok; Lee, Jaese, et al	ARTICLE	431	Wildfire Severity Mapping Using Sentinel Satellite Data Based on Machine Learning Approaches
2020-10	Multi-task learning based tropical cyclone intensity monitoring and forecasting through fusion of geostationary satellite data and numerical forecasting model output	Lee, Juhyun; Yoo, Cheolhee; Im, Jungho, et al	ARTICLE	638	Multi-task learning based tropical cyclone intensity monitoring and forecasting through fusion of geostationary satellite data and numerical forecasting model output
2020-10	Prediction of sea surface temperature and detection of ocean heat wave in the South sea of Korea using time-series deep-learning approaches	Jung, Sihun; Kim, Young Jun; Park, Sumin, et al	ARTICLE	613	Prediction of sea surface temperature and detection of ocean heat wave in the South sea of Korea using time-series deep-learning approaches
2020-10	Monitoring Ground-level SO2 Concentrations Based on a Stacking Ensemble Approach Using Satellite Data and Numerical Models	Choi, Hyunyoung; Kang, Yoojin; Im, Jungho, et al	ARTICLE	649	Monitoring Ground-level SO2 Concentrations Based on a Stacking Ensemble Approach Using Satellite Data and Numerical Models
2020-10	Remote sensing-assisted disaster monitoring and risk analysis	Im, Jungho; Sohn, Hong-Gyoo; Kim, Duk-jin, et al	ARTICLE	338	Remote sensing-assisted disaster monitoring and risk analysis
2020-09	Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions	Xu, Jin; Quackenbush, Lindi J.; Volk, Timothy A., et al	ARTICLE	617	Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions
2020-08	Spatial Downscaling of MODIS Land Surface Temperature: Recent Research Trends, Challenges, and Future Directions	Yoo, Cheolhee; Im, Jungho; Park, Sumin, et al	ARTICLE	402	Spatial Downscaling of MODIS Land Surface Temperature: Recent Research Trends, Challenges, and Future Directions
2020-07	Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique	Cho, Dongjin; Yoo, Cheolhee; Im, Jungho, et al	ARTICLE	515	Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique
2020-07	Earth observations and geographic information science for sustainable development goals	Im, Jungho	ARTICLE	515	Earth observations and geographic information science for sustainable development goals
2020-06	Object-based landfast sea ice detection over West Antarctica using time series ALOS PALSAR data	Kim, Miae; Kim, Hyun-Cheol; Im, Jungho, et al	ARTICLE	579	Object-based landfast sea ice detection over West Antarctica using time series ALOS PALSAR data
2020-05	Estimation of All-Weather 1 km MODIS Land Surface Temperature for Humid Summer Days	Yoo, Cheolhee; Im, Jungho; Cho, Dongjin, et al	ARTICLE	506	Estimation of All-Weather 1 km MODIS Land Surface Temperature for Humid Summer Days
2020-04	Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models	Park, Seohui; Lee, Junghee; Im, Jungho, et al	ARTICLE	560	Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models
2020-04	Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis data	Park, Seonyoung; Kang, Daehyun; Yoo, Cheolhee, et al	ARTICLE	500	Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis data
2020-04	Comparative Assessment of Various Machine Learning-Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban Areas	Cho, Dongjin; Yoo, Cheolhee; Im, Jungho, et al	ARTICLE	746	Comparative Assessment of Various Machine Learning-Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban Areas
2020-04	Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery	Lee, Junghee; Han, Daehyeon; Shin, Minso, et al	ARTICLE	696	Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery
2020-03	Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks	Kim, Young Jun; Kim, Hyun-Cheol; Han, Daehyeon, et al	ARTICLE	764	Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks
2020-02	Estimating ground-level particulate matter concentrations using satellite-based data: a review	Shin, Minso; Kang, Yoojin; Park, Seohui, et al	ARTICLE	758	Estimating ground-level particulate matter concentrations using satellite-based data: a review

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