ScholarWorks: Researcher Page

BROWSE

ScholarWorks

Researcher Page

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.

This table browses all dspace content
Issue Date	Title	Author(s)	Type	View	Altmetrics
2021-12	Rainfall intensity estimation using geostationary satellite data based on machine learning: A case study in the korean peninsula in summer	Shin, Yeji; Han, Daehyeon; Im, Jungho	ARTICLE	21	Rainfall intensity estimation using geostationary satellite data based on machine learning: A case study in the korean peninsula in summer
2021-12	Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO2 Concentrations: A Case Study for Seoul, Korea	Kang, Eunjin; Yoo, Cheolhee; Shin, Yeji, et al	ARTICLE	43	Comparative Assessment of Linear Regression and Machine Learning for Analyzing the Spatial Distribution of Ground-level NO2 Concentrations: A Case Study for Seoul, Korea
2021-12	Estimation of Leaf Area Index Based on Machine Learning/PROSAIL Using Optical Satellite Imagery	Lee, Jaese; Kang, Yoojin; Son, Bokyung, et al	ARTICLE	48	Estimation of Leaf Area Index Based on Machine Learning/PROSAIL Using Optical Satellite Imagery
2021-11	Estimation of surface-level NO2 and O-3 concentrations using TROPOMI data and machine learning over East Asia	Kang, Yoojin; Choi, Hyunyoung; Im, Jungho, et al	ARTICLE	36	Estimation of surface-level NO2 and O-3 concentrations using TROPOMI data and machine learning over East Asia
2021-10	Detection of Forest Fire Damage from Sentinel-1 SAR Data through the Synergistic Use of Principal Component Analysis and K-means Clustering [Sentinel-1 SAR K-means Clustering]	Lee, Jaese; Kim, Woohyeok; Im, Jungho, et al	ARTICLE	19	Detection of Forest Fire Damage from Sentinel-1 SAR Data through the Synergistic Use of Principal Component Analysis and K-means Clustering [Sentinel-1 SAR K-means Clustering]
2021-10	Detection of arctic summer melt ponds using icesat-2 altimetry data	Han, Daehyeon; Kim, Young Jun; Jung, Sihun, et al	ARTICLE	19	Detection of arctic summer melt ponds using icesat-2 altimetry data
2021-10	Spatial downscaling of ocean colour-climate change initiative (OC-CCI) Forel-Ule Index using GOCI satellite image and machine learning technique	Sung, Taejun; Kim, Young Jun; Choi, Hyunyoung, et al	ARTICLE	22	Spatial downscaling of ocean colour-climate change initiative (OC-CCI) Forel-Ule Index using GOCI satellite image and machine learning technique
2021-10	One year of GOCI-II launch present and future	Choi, Jong-kuk; Park, Myung-sook; Han, Kyung-soo, et al	ARTICLE	13	One year of GOCI-II launch present and future
2021-10	Sensitivity analysis for CAS500-4 atmospheric correction using simulated images and suggestion of the use of geostationary satellite-based atmospheric parameters	Kang, Yoojin; Cho, Dongjin; Han, Daehyeon, et al	ARTICLE	17	Sensitivity analysis for CAS500-4 atmospheric correction using simulated images and suggestion of the use of geostationary satellite-based atmospheric parameters
2021-10	Disaster assessment, monitoring, and prediction using remote sensing and gis	Jung, Minyoung; Kim, Duk-jin; Sohn, Hong-Gyoo, et al	ARTICLE	8	Disaster assessment, monitoring, and prediction using remote sensing and gis
2021-09	항공 LiDAR 및 RGB 정사 영상을 이용한 딥러닝 기반의 도시녹지 분류	손보경; 이연수; 임정호	ARTICLE	38	항공 LiDAR 및 RGB 정사 영상을 이용한 딥러닝 기반의 도시녹지 분류
2021-09	Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period	Kim, Ganghan; Lee, Seunghee; Im, Jungho, et al	ARTICLE	59	Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period
2021-08	Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery	Lee, Juhyun; Kim, Miae; Im, Jungho, et al	ARTICLE	41	Pre-trained feature aggregated deep learning-based monitoring of overshooting tops using multi-spectral channels of GeoKompsat-2A advanced meteorological imagery
2021-08	Estimation of Spatially Continuous Near-Surface Relative Humidity Over Japan and South Korea	Park, Haemi; Lee, Junghee; Yoo, Cheolhee, et al	ARTICLE	74	Estimation of Spatially Continuous Near-Surface Relative Humidity Over Japan and South Korea
2021-08	Satellite-based Drought Forecasting: Research Trends, Challenges, and Future Directions	Son, Bokyung; Im, Jungho; Park, Sumin, et al	ARTICLE	9	Satellite-based Drought Forecasting: Research Trends, Challenges, and Future Directions
2021-04	Estimation of TROPOMI-derived Ground-level SO2 Concentrations Using Machine Learning Over East Asia	Choi, Hyunyoung; Kang, Yoojin; Im, Jungho	ARTICLE	241	Estimation of TROPOMI-derived Ground-level SO2 Concentrations Using Machine Learning Over East Asia
2021-04	Estimation of ground-level PM10 and PM2.5 concentrations using boosting-based machine learning from satellite and numerical weather prediction data	Park, Seohui; Kim, Miae; Im, Jungho	ARTICLE	239	Estimation of ground-level PM10 and PM2.5 concentrations using boosting-based machine learning from satellite and numerical weather prediction data
2021-03	On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient	Bai, Yun; Zhang, Sha; Bhattarai, Nishan, et al	ARTICLE	88	On the use of machine learning based ensemble approaches to improve evapotranspiration estimates from croplands across a wide environmental gradient
2021-01	A new drought monitoring approach: Vector Projection Analysis (VPA)	Son, Bokyung; Park, Sumin; Im, Jungho, et al	ARTICLE	103	A new drought monitoring approach: Vector Projection Analysis (VPA)
2021-01	Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches	Jang, Eunna; Kim, Young Jun; Im, Jungho, et al	ARTICLE	76	Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches

1 2 3 4 5 6 7 8

STATISTICS: Total View :14,972,014; Total Download :2,817,604; Today View :1,393

RSS 1.0 RSS 2.0

BROWSE

Researcher Page

MENU