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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	14	Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data
2020	Estimating ground-level particulate matter concentrations using satellite-based data: a review	Shin, Minso; Kang, Yoojin; Park, Seohui, et al	ARTICLE	15	Estimating ground-level particulate matter concentrations using satellite-based data: a review
2019-12	기상 예보 및 위성 자료를 이용한 우리나라 산불위험지수의 시공간적 고도화	강유진; 박수민; 장은나, et al	ARTICLE	38	기상 예보 및 위성 자료를 이용한 우리나라 산불위험지수의 시공간적 고도화
2019-12	산불발생위험 추정을 위한 위성기반 가뭄지수 개발	박수민; 손보경; 임정호, et al	ARTICLE	35	산불발생위험 추정을 위한 위성기반 가뭄지수 개발
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	95	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	26	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	41	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	97	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	97	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	131	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	162	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	153	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	195	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	153	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	141	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	229	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	261	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	228	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	158	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	466	Intercomparison of Terrestrial Carbon Fluxes and Carbon Use Efficiency Simulated by CMIP5 Earth System Models

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