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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 Date	Title	Author(s)	Type	View	Altmetrics
2017-05	Meteorological drought forecasting for ungauged areas based on machine learning: Using long-range climate forecast and remote sensing data	Rhee, Jinyoung; Im, Jungho	ARTICLE	920	Meteorological drought forecasting for ungauged areas based on machine learning: Using long-range climate forecast and remote sensing data
2017-05	Drought monitoring using high resolution soil moisture throughmulti-sensor satellite data fusion over the Korean peninsula	Park, Seonyoung; Im, Jungho; Park, Sumin, et al	ARTICLE	929	Drought monitoring using high resolution soil moisture throughmulti-sensor satellite data fusion over the Korean peninsula
2017-05	Downscaling GLDAS Soil Moisture Data in East Asia through Fusion of Multi-Sensors by Optimizing Modified Regression Trees	Park, Seonyoung; Park, Sumin; Im, Jungho, et al	ARTICLE	1120	Downscaling GLDAS Soil Moisture Data in East Asia through Fusion of Multi-Sensors by Optimizing Modified Regression Trees
2017-05	Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data	Lee, Sanggyun; Han, Hyangsun; Im, Jungho, et al	ARTICLE	1013	Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data
2017-04	Spatiotemporal downscaling approaches for monitoring 8-day 30 m actual evapotranspiration	Ke, Yinghai; Im, Jungho; Park, Seonyoung, et al	ARTICLE	911	Spatiotemporal downscaling approaches for monitoring 8-day 30 m actual evapotranspiration
2016-12	Variations in ice velocities of Pine Island Glacier Ice Shelf evaluated using multispectral image matching of Landsat time series data	Han, Hyangsun; Im, Jungho; Kim, Hyun-cheol	ARTICLE	758	Variations in ice velocities of Pine Island Glacier Ice Shelf evaluated using multispectral image matching of Landsat time series data
2016-12	Enhanced greenhouse gas emission from exposed sediments along a hydroelectric reservoir during an extreme drought event	Jin, Hyojin; Yoon, Tae Kyung; Lee, Seung-Hoon, et al	ARTICLE	842	Enhanced greenhouse gas emission from exposed sediments along a hydroelectric reservoir during an extreme drought event
2016-12	Intercomparison of Terrestrial Carbon Fluxes and Carbon Use Efficiency Simulated by CMIP5 Earth System Models	Kim, Dongmin; Lee, Myong-In; Jeong, Su-Jong, et al	ARTICLE	744	Intercomparison of Terrestrial Carbon Fluxes and Carbon Use Efficiency Simulated by CMIP5 Earth System Models
2016-09	Detection of tropical cyclone genesis via quantitative satellite ocean surface wind pattern and intensity analyses using decision trees	Park, Myung-Sook; Kim, Minsang; Lee, Myong-In, et al	ARTICLE	944	Detection of tropical cyclone genesis via quantitative satellite ocean surface wind pattern and intensity analyses using decision trees
2016-09	Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection	Lee, Sanggyun; Im, Jungho; Kim, Jinwoo, et al	ARTICLE	866	Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection
2016-08	Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches	Im, Jungho; Park, Seonyoung; Rhee, Jinyoung, et al	ARTICLE	895	Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches
2016-07	Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate	Bhattarai, Nishan; Shaw, Stephen B.; Quackenbush, Lindi J., et al	ARTICLE	1098	Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humid subtropical climate
2016-06	GOCI 위성영상과 기계학습을 이용한 한반도 연안 수질평가지수 추정	Jang, Eunna; Im, Jungho; Ha, Sunghyun, et al	ARTICLE	1195	GOCI 위성영상과 기계학습을 이용한 한반도 연안 수질평가지수 추정
2016-05	An improved tree crown delineation method based on live crown ratios from airborne LiDAR data	Fang, Fang; Im, Jungho; Lee, Junghee, et al	ARTICLE	975	An improved tree crown delineation method based on live crown ratios from airborne LiDAR data
2016-03	Downscaling of MODIS One kilometer evapotranspiration using Landsat-8 data and machine learning approaches	Ke, Yinghai; Im, Jungho; Park, Seonyoung, et al	ARTICLE	706	Downscaling of MODIS One kilometer evapotranspiration using Landsat-8 data and machine learning approaches
2016-02	Spatial and diurnal variations of storm heights in the East Asia summer monsoon: storm height regimes and large-scale diurnal modulation	Park, Myung-Sook; Lee, Myong-In; Kim, Hyerim, et al	ARTICLE	1118	Spatial and diurnal variations of storm heights in the East Asia summer monsoon: storm height regimes and large-scale diurnal modulation
2016-02	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	Pyo, JongCheol; Ha, SeongHyeon; Yakov A. Pachepsky, et al	ARTICLE	966	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
2016-01	Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions	Park, Seonyoung; Im, Jungho; Jang, Eunna, et al	ARTICLE	1104	Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions
2016-01	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	Han, Hyangsun; Kim, Miae; Sim, Seongmun, et al	ARTICLE	1013	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
2015-12	A novel transferable individual tree crown delineation model based on Fishing Net Dragging and boundary classification	Liu, Tao; Im, Jungho; Quackenbush, Lindi J.	ARTICLE	1172	A novel transferable individual tree crown delineation model based on Fishing Net Dragging and boundary classification

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