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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 DateTitleAuthor(s)TypeViewAltmetrics
2021-08Satellite-based Drought Forecasting: Research Trends, Challenges, and Future DirectionsSon, Bokyung; Im, Jungho; Park, Sumin, et alARTICLE154 Satellite-based Drought Forecasting: Research Trends, Challenges, and Future Directions
2021-04Estimation of TROPOMI-derived Ground-level SO2 Concentrations Using Machine Learning Over East AsiaChoi, Hyunyoung; Kang, Yoojin; Im, JunghoARTICLE517 Estimation of TROPOMI-derived Ground-level SO2 Concentrations Using Machine Learning Over East Asia
2021-04Estimation of ground-level PM10 and PM2.5 concentrations using boosting-based machine learning from satellite and numerical weather prediction dataPark, Seohui; Kim, Miae; Im, JunghoARTICLE469 Estimation of ground-level PM10 and PM2.5 concentrations using boosting-based machine learning from satellite and numerical weather prediction data
2021-03On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradientBai, Yun; Zhang, Sha; Bhattarai, Nishan, et alARTICLE277 On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient
2021-01A new drought monitoring approach: Vector Projection Analysis (VPA)Son, Bokyung; Park, Sumin; Im, Jungho, et alARTICLE374 A new drought monitoring approach: Vector Projection Analysis (VPA)
2021-01Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approachesJang, Eunna; Kim, Young Jun; Im, Jungho, et alARTICLE280 Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches
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 alARTICLE535 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 alARTICLE257 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 alARTICLE290 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 alARTICLE355 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 alARTICLE258 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 alARTICLE405 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 alARTICLE283 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 alARTICLE473 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 alARTICLE233 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 alARTICLE455 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 alARTICLE273 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 alARTICLE383 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, JunghoARTICLE393 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 alARTICLE430 Object-based landfast sea ice detection over West Antarctica using time series ALOS PALSAR data

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