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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
2015-12A Novel Bias Correction Method for Soil Moisture and Ocean Salinity (SMOS) Soil Moisture: Retrieval EnsemblesLee, Ju Hyoung; Im, JunghoARTICLE917 A Novel Bias Correction Method for Soil Moisture and Ocean Salinity (SMOS) Soil Moisture: Retrieval Ensembles
2015-12Change Analysis of Aboveground Forest Carbon Stocks According to the Land Cover Change Using Multi-Temporal Landsat TM Images and Machine Learning AlgorithmsLee, Jung-Hee; Im, Jungho; Kim, Kyoung-Min, et alARTICLE775 Change Analysis of Aboveground Forest Carbon Stocks According to the Land Cover Change Using Multi-Temporal Landsat TM Images and Machine Learning Algorithms
2015-07Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Based on Machine Learning ApproachesHan, Hyangsun; Lee, Sanggyun; Im, Jungho, et alARTICLE1198 Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Based on Machine Learning Approaches
2015-07Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observationsKe, Yinghai; Im, Jungho; Lee, Junghee, et alARTICLE1006 Characteristics of Landsat 8 OLI-derived NDVI by comparison with multiple satellite sensors and in-situ observations
2015-03Landfast sea ice monitoring using multisensor fusion in the AntarcticKim, Miae; Im, Jungho; Han, Hyangsun, et alARTICLE1232 Landfast sea ice monitoring using multisensor fusion in the Antarctic
2014-10Building type classification using spatial and landscape attributes derived from LiDAR remote sensing dataLu, Zhenyu; Im, Jungho; Rhee, Jinyoung, et alARTICLE1221 Building type classification using spatial and landscape attributes derived from LiDAR remote sensing data
2014-09The MODIS ice surface temperature product as an indicator of sea ice minimum over the Arctic OceanKang, Daehyun; Im, Jungho; Lee, Myong-In, et alARTICLE1057 The MODIS ice surface temperature product as an indicator of sea ice minimum over the Arctic Ocean
2014-08Estimating High Spatial Resolution Air Temperature for Regions with Limited in situ Data Using MODIS ProductsRhee, Jinyoung; Im, JunghoARTICLE912 Estimating High Spatial Resolution Air Temperature for Regions with Limited in situ Data Using MODIS Products
2014-07Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack ParkLi, Manqi; Im, Jungho; Quackenbush, Lindi J., et alARTICLE1129 Forest Biomass and Carbon Stock Quantification Using Airborne LiDAR Data: A Case Study Over Huntington Wildlife Forest in the Adirondack Park
2014-05Prediction of the Arctic Oscillation in boreal winter by dynamical seasonal forecasting systemsKang, Daehyun; Lee, Myong-In; Im, Jungho, et alARTICLE1207 Prediction of the Arctic Oscillation in boreal winter by dynamical seasonal forecasting systems
2014-03Machine learning approaches to coastal water quality monitoring using GOCI satellite dataKim, Yong Hoon; Im, Jungho; Ha, Ho Kyung, et alARTICLE917 Machine learning approaches to coastal water quality monitoring using GOCI satellite data
2013-09Remote sensing-based house value estimation using an optimized regional regression modelLu, Zhenyu; Im, Jungho; Quackenbush, Lindi J., et alARTICLE931 Remote sensing-based house value estimation using an optimized regional regression model
2013-08Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife ForestLi, Manqi; Im, Jungho; Beier, ColinARTICLE1082 Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest
2013-07Effects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithmJung, Jaehoon; Kim, Sangpil; Hong, Sungchul, et alARTICLE1225 Effects of national forest inventory plot location error on forest carbon stock estimation using k-nearest neighbor algorithm
2012-10Forest biomass estimation from airborne LiDAR data using machine learning approachesGleason, Colin J.; Im, JunghoARTICLE1050 Forest biomass estimation from airborne LiDAR data using machine learning approaches
2012-09Variable selection for hedonic model using machine learning approaches: A case study in Onondaga County, NYYoo, Sanglim; Im, Jungho; Wagner, John E.ARTICLE1013 Variable selection for hedonic model using machine learning approaches: A case study in Onondaga County, NY
2012-09Indicators for separating undesirable and well-delineated tree crowns in high spatial resolution imagesZhang, Wenhua; Quackenbush, Lindi J.; Im, Jungho, et alARTICLE989 Indicators for separating undesirable and well-delineated tree crowns in high spatial resolution images
2012-08Fusion of feature selection and optimized immune networks for hyperspectral image classification of urban landscapesIm, Jungho; Lu, Z.; Rhee, J., et alARTICLE799 Fusion of feature selection and optimized immune networks for hyperspectral image classification of urban landscapes
2012-07A Fusion Approach for Tree Crown Delineation from Lidar DataGleason, Colin J.; Im, JunghoARTICLE1424
2012-07Characterization of Forest Crops with a Range of Nutrient and Water Treatments Using AISA Hyperspectral ImageryGong, Binglei; Im, Jungho; Jensen, John R., et alARTICLE1064 Characterization of Forest Crops with a Range of Nutrient and Water Treatments Using AISA Hyperspectral Imagery

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