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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 Date	Title	Author(s)	Type	View	Altmetrics
2015-07	Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations	Ke, Yinghai; Im, Jungho; Lee, Junghee, et al	ARTICLE	680	Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations
2015-03	Landfast sea ice monitoring using multisensor fusion in the Antarctic	Kim, Miae; Im, Jungho; Han, Hyangsun, et al	ARTICLE	877	Landfast sea ice monitoring using multisensor fusion in the Antarctic
2014-10	Building type classification using spatial and landscape attributes derived from LiDAR remote sensing data	Lu, Zhenyu; Im, Jungho; Rhee, Jinyoung, et al	ARTICLE	894	Building type classification using spatial and landscape attributes derived from LiDAR remote sensing data
2014-09	The MODIS ice surface temperature product as an indicator of sea ice minimum over the Arctic Ocean	Kang, Daehyun; Im, Jungho; Lee, Myong-In, et al	ARTICLE	807	The MODIS ice surface temperature product as an indicator of sea ice minimum over the Arctic Ocean
2014-08	Estimating High Spatial Resolution Air Temperature for Regions with Limited in situ Data Using MODIS Products	Rhee, Jinyoung; Im, Jungho	ARTICLE	667	Estimating High Spatial Resolution Air Temperature for Regions with Limited in situ Data Using MODIS Products
2014-07	Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park	Li, Manqi; Im, Jungho; Quackenbush, Lindi J., et al	ARTICLE	804	Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park
2014-05	Prediction of the Arctic Oscillation in boreal winter by dynamical seasonal forecasting systems	Kang, Daehyun; Lee, Myong-In; Im, Jungho, et al	ARTICLE	760	Prediction of the Arctic Oscillation in boreal winter by dynamical seasonal forecasting systems
2014-03	Machine learning approaches to coastal water quality monitoring using GOCI satellite data	Kim, Yong Hoon; Im, Jungho; Ha, Ho Kyung, et al	ARTICLE	619	Machine learning approaches to coastal water quality monitoring using GOCI satellite data
2013-09	Remote sensing-based house value estimation using an optimized regional regression model	Lu, Zhenyu; Im, Jungho; Quackenbush, Lindi J., et al	ARTICLE	664	Remote sensing-based house value estimation using an optimized regional regression model
2013-08	Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest	Li, Manqi; Im, Jungho; Beier, Colin	ARTICLE	781	Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest
2013-07	Effects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm	Jung, Jaehoon; Kim, Sangpil; Hong, Sungchul, et al	ARTICLE	825	Effects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm
2012-10	Forest biomass estimation from airborne LiDAR data using machine learning approaches	Gleason, Colin J.; Im, Jungho	ARTICLE	765	Forest biomass estimation from airborne LiDAR data using machine learning approaches
2012-09	Variable selection for hedonic model using machine learning approaches: A case study in Onondaga County, NY	Yoo, Sanglim; Im, Jungho; Wagner, John E.	ARTICLE	710	Variable selection for hedonic model using machine learning approaches: A case study in Onondaga County, NY
2012-09	Indicators for separating undesirable and well-delineated tree crowns in high spatial resolution images	Zhang, Wenhua; Quackenbush, Lindi J.; Im, Jungho, et al	ARTICLE	663	Indicators for separating undesirable and well-delineated tree crowns in high spatial resolution images
2012-08	Fusion of feature selection and optimized immune networks for hyperspectral image classification of urban landscapes	Im, Jungho; Lu, Z.; Rhee, J., et al	ARTICLE	514	Fusion of feature selection and optimized immune networks for hyperspectral image classification of urban landscapes
2012-07	A Fusion Approach for Tree Crown Delineation from Lidar Data	Gleason, Colin J.; Im, Jungho	ARTICLE	1066
2012-07	Characterization of Forest Crops with a Range of Nutrient and Water Treatments Using AISA Hyperspectral Imagery	Gong, Binglei; Im, Jungho; Jensen, John R., et al	ARTICLE	682	Characterization of Forest Crops with a Range of Nutrient and Water Treatments Using AISA Hyperspectral Imagery
2012-02	Impervious surface quantification using a synthesis of artificial immune networks and decision/regression trees from multi-sensor data	Im, Jungho; Lu, Zhenyu; Rhee, Jinyoung, et al	ARTICLE	852	Impervious surface quantification using a synthesis of artificial immune networks and decision/regression trees from multi-sensor data
2012-02	Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing	Im, Jungho; Jensen, John R.; Jensen, Ryan R., et al	ARTICLE	638	Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing
2011-11	A Volumetric Approach to Population Estimation Using Lidar Remote Sensing	Lu, Zhenyu; Im, Jungho; Quackenbush, Lindi	ARTICLE	640

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