ScholarWorks: Researcher Page

BROWSE

ScholarWorks

Researcher Page

Im, Jungho (임정호)

Department: Department of Civil, Urban, Earth, and Environmental Engineering(지구환경도시건설공학과)

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.

This table browses all dspace content
Issue Date	Title	Author(s)	Type	View	Altmetrics
2020-01	Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data	Lee, Juhyun; Im, Jungho; Cha, Dong-Hyun, et al	ARTICLE	854	Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data
2019-12	기상 예보 및 위성 자료를 이용한 우리나라 산불위험지수의 시공간적 고도화	강유진; 박수민; 장은나, et al	ARTICLE	752	기상 예보 및 위성 자료를 이용한 우리나라 산불위험지수의 시공간적 고도화
2019-12	Development of Satellite-based Drought Indices for Assessing Wildfire Risk	Park, Sumin; Son, Bokyung; Im, Jungho, et al	ARTICLE	607	Development of Satellite-based Drought Indices for Assessing Wildfire Risk
2019-11	Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images	Yoo, Cheolhee; Han, Daehyeon; Im, Jungho, et al	ARTICLE	661	Comparison between convolutional neural networks and random forest for local climate zone classification in mega urban areas using Landsat images
2019-11	Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation	Liu, Maolin; Ke, Yinghai; Yin, Qi, et al	ARTICLE	479	Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation
2019-10	Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches	Park, Sumin; Park, Haemi; Im, Jungho, et al	ARTICLE	674	Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches
2019-08	Retrieval of total precipitable water from Himawari-8 AHI data: A comparison of random forest, extreme gradient boosting, and deep neural network	Lee, Yeonjin; Han, Daehyeon; Ahn, Myoung-Hwan, et al	ARTICLE	660	Retrieval of total precipitable water from Himawari-8 AHI data: A comparison of random forest, extreme gradient boosting, and deep neural network
2019-08	Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery	Li, Siqi; Quackenbush, Lindi J.; Im, Jungho	ARTICLE	676	Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery
2019-07	Zooplankton and micronekton respond to climate fluctuations in the Amundsen Sea polynya, Antarctica	La, Hyoung Sul; Park, Keyhong; Wahlin, Anna, et al	ARTICLE	787	Zooplankton and micronekton respond to climate fluctuations in the Amundsen Sea polynya, Antarctica
2019-06	Improvement of satellite-based estimation of gross primary production through optimization of meteorological parameters and high resolution land cover information at regional scale over East Asia	Park, Haemi; Im, Jungho; Kim, Miae	ARTICLE	758	Improvement of satellite-based estimation of gross primary production through optimization of meteorological parameters and high resolution land cover information at regional scale over East Asia
2019-06	A novel framework of detecting convective initiation combining automated sampling, machine learning, and repeated model tuning from geostationary satellite data	Han, Daehyeon; Lee, Juhyun; Im, Jungho, et al	ARTICLE	936	A novel framework of detecting convective initiation combining automated sampling, machine learning, and repeated model tuning from geostationary satellite data
2019-05	Machine learning approaches for detecting tropical cyclone formation using satellite data	Kim, Minsang; Park, Myung-Sook; Im, Jungho, et al	ARTICLE	839	Machine learning approaches for detecting tropical cyclone formation using satellite data
2019-02	Detection and monitoring of forest fires using Himawari-8 geostationary satellite data in South Korea	Jang, Eunna; Kang, Yoojin; Im, Jungho, et al	ARTICLE	806	Detection and monitoring of forest fires using Himawari-8 geostationary satellite data in South Korea
2019-01	Estimation of ground-level particulate matter concentrations through the synergistic use of satellite observations and process-based models over South Korea	Park, Seohui; Shin, Minso; Im, Jungho, et al	ARTICLE	1041	Estimation of ground-level particulate matter concentrations through the synergistic use of satellite observations and process-based models over South Korea
2018-12	Convolutional Neural Network-Based Land Cover Classification Using 2-D Spectral Reflectance Curve Graphs With Multitemporal Satellite Imagery	Kim, Miae; Lee, Junghee; Han, Daehyun, et al	ARTICLE	1015	Convolutional Neural Network-Based Land Cover Classification Using 2-D Spectral Reflectance Curve Graphs With Multitemporal Satellite Imagery
2018-12	기계학습 기반의 IABP 부이 자료와 AMSR2 위성영상을 이용한 여름철 북극 대기 온도 추정	한대현; 김영준; 임정호, et al	ARTICLE	1016	기계학습 기반의 IABP 부이 자료와 AMSR2 위성영상을 이용한 여름철 북극 대기 온도 추정
2018-11	Prediction of drought on pentad scale using remote sensing data and MJO index through random forest over East Asia	Park, Seonyoung; Seo, Eunkyo; Kang, Daehyun, et al	ARTICLE	838	Prediction of drought on pentad scale using remote sensing data and MJO index through random forest over East Asia
2018-08	Intercomparison of Downscaling Techniques for Satellite Soil Moisture Products	Kim, Daeun; Moon, Heewon; Kim, Hyunglok, et al	ARTICLE	701	Intercomparison of Downscaling Techniques for Satellite Soil Moisture Products
2018-05	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	1195	Intercomparison of Terrestrial Carbon Fluxes and Carbon Use Efficiency Simulated by CMIP5 Earth System Models
2018-05	Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data	Lee, Sanggyun; Kim, Hyun-cheol; Im, Jungho	ARTICLE	1040	Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data

1 2 3 4 5 6 7 8 9

STATISTICS: Total View :32,741,684; Total Download :4,923,860; Today View :977

RSS 1.0 RSS 2.0

BROWSE

Researcher Page

MENU