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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
2017-05Meteorological drought forecasting for ungauged areas based on machine learning: Using long-range climate forecast and remote sensing dataRhee, Jinyoung; Im, JunghoARTICLE920 Meteorological drought forecasting for ungauged areas based on machine learning: Using long-range climate forecast and remote sensing data
2017-05Drought monitoring using high resolution soil moisture throughmulti-sensor satellite data fusion over the Korean peninsulaPark, Seonyoung; Im, Jungho; Park, Sumin, et alARTICLE929 Drought monitoring using high resolution soil moisture throughmulti-sensor satellite data fusion over the Korean peninsula
2017-05Downscaling GLDAS Soil Moisture Data in East Asia through Fusion of Multi-Sensors by Optimizing Modified Regression TreesPark, Seonyoung; Park, Sumin; Im, Jungho, et alARTICLE1120 Downscaling GLDAS Soil Moisture Data in East Asia through Fusion of Multi-Sensors by Optimizing Modified Regression Trees
2017-05Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager dataLee, Sanggyun; Han, Hyangsun; Im, Jungho, et alARTICLE1013 Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data
2017-04Spatiotemporal downscaling approaches for monitoring 8-day 30 m actual evapotranspirationKe, Yinghai; Im, Jungho; Park, Seonyoung, et alARTICLE911 Spatiotemporal downscaling approaches for monitoring 8-day 30 m actual evapotranspiration
2016-12Variations in ice velocities of Pine Island Glacier Ice Shelf evaluated using multispectral image matching of Landsat time series dataHan, Hyangsun; Im, Jungho; Kim, Hyun-cheolARTICLE758 Variations in ice velocities of Pine Island Glacier Ice Shelf evaluated using multispectral image matching of Landsat time series data
2016-12Enhanced greenhouse gas emission from exposed sediments along a hydroelectric reservoir during an extreme drought eventJin, Hyojin; Yoon, Tae Kyung; Lee, Seung-Hoon, et alARTICLE842 Enhanced greenhouse gas emission from exposed sediments along a hydroelectric reservoir during an extreme drought event
2016-12Intercomparison of Terrestrial Carbon Fluxes and Carbon Use Efficiency Simulated by CMIP5 Earth System ModelsKim, Dongmin; Lee, Myong-In; Jeong, Su-Jong, et alARTICLE744 Intercomparison of Terrestrial Carbon Fluxes and Carbon Use Efficiency Simulated by CMIP5 Earth System Models
2016-09Detection of tropical cyclone genesis via quantitative satellite ocean surface wind pattern and intensity analyses using decision treesPark, Myung-Sook; Kim, Minsang; Lee, Myong-In, et alARTICLE944 Detection of tropical cyclone genesis via quantitative satellite ocean surface wind pattern and intensity analyses using decision trees
2016-09Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead DetectionLee, Sanggyun; Im, Jungho; Kim, Jinwoo, et alARTICLE866 Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection
2016-08Downscaling of AMSR-E soil moisture with MODIS products using machine learning approachesIm, Jungho; Park, Seonyoung; Rhee, Jinyoung, et alARTICLE895 Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches
2016-07Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climateBhattarai, Nishan; Shaw, Stephen B.; Quackenbush, Lindi J., et alARTICLE1098 Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate
2016-06GOCI 위성영상과 기계학습을 이용한 한반도 연안 수질평가지수 추정Jang, Eunna; Im, Jungho; Ha, Sunghyun, et alARTICLE1195 GOCI 위성영상과 기계학습을 이용한 한반도 연안 수질평가지수 추정
2016-05An improved tree crown delineation method based on live crown ratios from airborne LiDAR dataFang, Fang; Im, Jungho; Lee, Junghee, et alARTICLE975 An improved tree crown delineation method based on live crown ratios from airborne LiDAR data
2016-03Downscaling of MODIS One kilometer evapotranspiration using Landsat-8 data and machine learning approachesKe, Yinghai; Im, Jungho; Park, Seonyoung, et alARTICLE706 Downscaling of MODIS One kilometer evapotranspiration using Landsat-8 data and machine learning approaches
2016-02Spatial and diurnal variations of storm heights in the East Asia summer monsoon: storm height regimes and large-scale diurnal modulationPark, Myung-Sook; Lee, Myong-In; Kim, Hyerim, et alARTICLE1118 Spatial and diurnal variations of storm heights in the East Asia summer monsoon: storm height regimes and large-scale diurnal modulation
2016-02Chlorophyll-a concentration estimation using three difference bio-optical algorithms, including a correction for the low-concentration range: the case of the Yiam reservoir, KoreaPyo, JongCheol; Ha, SeongHyeon; Yakov A. Pachepsky, et alARTICLE966 Chlorophyll-a concentration estimation using three difference bio-optical algorithms, including a correction for the low-concentration range: the case of the Yiam reservoir, Korea
2016-01Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regionsPark, Seonyoung; Im, Jungho; Jang, Eunna, et alARTICLE1104 Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions
2016-01Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle DataHan, Hyangsun; Kim, Miae; Sim, Seongmun, et alARTICLE1013 Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data
2015-12A novel transferable individual tree crown delineation model based on Fishing Net Dragging and boundary classificationLiu, Tao; Im, Jungho; Quackenbush, Lindi J.ARTICLE1172 A novel transferable individual tree crown delineation model based on Fishing Net Dragging and boundary classification

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