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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 DateTitleAuthor(s)TypeViewAltmetrics
2020-11Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model OutputPark, Sumin; Im, Jungho; Han, Daehyeon, et alARTICLE378 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 alARTICLE413 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 alARTICLE517 Developing a New Hourly Forest Fire Risk Index Based on Catboost in South Korea
2020-10Wildfire Severity Mapping Using Sentinel Satellite Data Based on Machine Learning ApproachesSim, Seongmun; Kim, Woohyeok; Lee, Jaese, et alARTICLE431 Wildfire Severity Mapping Using Sentinel Satellite Data Based on Machine Learning Approaches
2020-10Multi-task learning based tropical cyclone intensity monitoring and forecasting through fusion of geostationary satellite data and numerical forecasting model outputLee, Juhyun; Yoo, Cheolhee; Im, Jungho, et alARTICLE638 Multi-task learning based tropical cyclone intensity monitoring and forecasting through fusion of geostationary satellite data and numerical forecasting model output
2020-10Prediction of sea surface temperature and detection of ocean heat wave in the South sea of Korea using time-series deep-learning approachesJung, Sihun; Kim, Young Jun; Park, Sumin, et alARTICLE613 Prediction of sea surface temperature and detection of ocean heat wave in the South sea of Korea using time-series deep-learning approaches
2020-10Monitoring Ground-level SO2 Concentrations Based on a Stacking Ensemble Approach Using Satellite Data and Numerical ModelsChoi, Hyunyoung; Kang, Yoojin; Im, Jungho, et alARTICLE649 Monitoring Ground-level SO2 Concentrations Based on a Stacking Ensemble Approach Using Satellite Data and Numerical Models
2020-10Remote sensing-assisted disaster monitoring and risk analysisIm, Jungho; Sohn, Hong-Gyoo; Kim, Duk-jin, et alARTICLE338 Remote sensing-assisted disaster monitoring and risk analysis
2020-09Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future DirectionsXu, Jin; Quackenbush, Lindi J.; Volk, Timothy A., et alARTICLE617 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 alARTICLE402 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 alARTICLE515 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, JunghoARTICLE515 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 alARTICLE579 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 alARTICLE506 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 alARTICLE560 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 alARTICLE500 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 alARTICLE746 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 alARTICLE696 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 alARTICLE764 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 alARTICLE758 Estimating ground-level particulate matter concentrations using satellite-based data: a review

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