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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, 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 DateTitleAuthor(s)TypeViewAltmetrics
2020-12Synergistic use of hyperspectral uv-visible omi and broadband meteorological imager modis data for a merged aerosol productGo, Sujung; Kim, Jhoon; Park, Sang Seo, et alARTICLE45 Synergistic use of hyperspectral uv-visible omi and broadband meteorological imager modis data for a merged aerosol product
2020-11Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model OutputPark, Sumin; Im, Jungho; Han, Daehyeon, et alARTICLE26 Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output
2020-11Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural NetworksYoo, Cheolhee; Lee, Yeonsu; Cho, Dongjin, et alARTICLE45 Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks
2020-11Developing a New Hourly Forest Fire Risk Index Based on Catboost in South KoreaKang, Yoojin; Jang, Eunna; Im, Jungho, et alARTICLE41 Developing a New Hourly Forest Fire Risk Index Based on Catboost in South Korea
2020-10Sentinel 위성영상과 기계학습을 이용한 국내산불 피해강도 탐지심성문; 김우혁; 이재세, et alARTICLE7 Sentinel 위성영상과 기계학습을 이용한 국내산불 피해강도 탐지
2020-10정지궤도 기상위성 및 수치예보모델 융합을 통한 Multi-task Learning 기반 태풍 강도 실시간 추정 및 예측이주현; 유철희; 임정호, et alARTICLE4 정지궤도 기상위성 및 수치예보모델 융합을 통한 Multi-task Learning 기반 태풍 강도 실시간 추정 및 예측
2020-10시계열 기계학습을 이용한 한반도 남해 해수면 온도 예측 및 고수온 탐지정시훈; 김영준; 박수민, et alARTICLE8 시계열 기계학습을 이용한 한반도 남해 해수면 온도 예측 및 고수온 탐지
2020-10위성 자료와 수치모델 자료를 활용한 스태킹 앙상블 기반 SO2 지상농도 추정최현영; 강유진; 임정호, et alARTICLE7 위성 자료와 수치모델 자료를 활용한 스태킹 앙상블 기반 SO2 지상농도 추정
2020-09Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future DirectionsXu, Jin; Quackenbush, Lindi J.; Volk, Timothy A., et alARTICLE75 Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions
2020-08Spatial Downscaling of MODIS Land Surface Temperature: Recent Research Trends, Challenges, and Future DirectionsYoo, Cheolhee; Im, Jungho; Park, Sumin, et alARTICLE5 Spatial Downscaling of MODIS Land Surface Temperature: Recent Research Trends, Challenges, and Future Directions
2020-07Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble techniqueCho, Dongjin; Yoo, Cheolhee; Im, Jungho, et alARTICLE85 Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique
2020-07Earth observations and geographic information science for sustainable development goalsIm, JunghoARTICLE121 Earth observations and geographic information science for sustainable development goals
2020-06Object-based landfast sea ice detection over West Antarctica using time series ALOS PALSAR dataKim, Miae; Kim, Hyun-Cheol; Im, Jungho, et alARTICLE116 Object-based landfast sea ice detection over West Antarctica using time series ALOS PALSAR data
2020-05Estimation of All-Weather 1 km MODIS Land Surface Temperature for Humid Summer DaysYoo, Cheolhee; Im, Jungho; Cho, Dongjin, et alARTICLE71 Estimation of All-Weather 1 km MODIS Land Surface Temperature for Humid Summer Days
2020-04Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical modelsPark, Seohui; Lee, Junghee; Im, Jungho, et alARTICLE95 Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models
2020-04Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis dataPark, Seonyoung; Kang, Daehyun; Yoo, Cheolhee, et alARTICLE92 Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis data
2020-04Comparative Assessment of Various Machine Learning-Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban AreasCho, Dongjin; Yoo, Cheolhee; Im, Jungho, et alARTICLE130 Comparative Assessment of Various Machine Learning-Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban Areas
2020-04Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite ImageryLee, Junghee; Han, Daehyeon; Shin, Minso, et alARTICLE114 Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery
2020-03Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networksKim, Young Jun; Kim, Hyun-Cheol; Han, Daehyeon, et alARTICLE197 Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks
2020-02Estimating ground-level particulate matter concentrations using satellite-based data: a reviewShin, Minso; Kang, Yoojin; Park, Seohui, et alARTICLE148 Estimating ground-level particulate matter concentrations using satellite-based data: a review

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