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PUBLICATION

(Based on issue date)

Last updated : 2024/04/09

2024

Mitigating underestimation of fire emissions from the Advanced Himawari Imager: A machine learning and multi-satellite ensemble approach
Kang, Yoojin; Im, Jungho
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, v.128, pp.103784

 

Advances in Machine Learning Techniques Can Assist Across a Variety of Stages in Sea Ice Applications
Eayrs, Clare; Lee, Won Sang; Jin, Emilia; Lemieux, Jean-François; Massonnet, François; Vancoppenolle, Martin; Zampieri, Lorenzo; Bennetts, Luke G.; Blockley, Ed; Chung, Eui-Seok; Fraser, Alexander D.; Ham, Yoo-geun; Im, Jungho; Kim, Baek-min; Kim, Beong-Hoon; Kim, Jinsuk; Kim, Joo-Hong; Kim, Seong-Joong; Kim, Seung Hee; Korosov, Anton; Lee, Choon-Ki; Lee, Donghyuck; Lee, Hyun-Ju; Lee, Jeong-Gil; Lee, Jiyeon; Na, Jisung; Park, In-woo; Park, Jikang; Wang, Xianwei; Xu, Shiming; Yun, Sukyoung
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, v.105, no.3, pp.E527-E531

Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation
Choo, Minki; Kim, Yejin; Lee, Juhyun; Im, Jungho; Moon, Il-Ju
GISCIENCE & REMOTE SENSING, v.61, no.1, pp.2325720

 

산불 발생이 주변 대기질에 미치는 영향에 대한 이해
강유진; 최현영; 김예진; 임정호
한국대기환경학회, v.40, no.1, pp.103-117

 

Quantitative assessment of the scale conversion from instantaneous to daily GPP under various sky conditions based on MODIS local overpassing time
Lee, Junghee; Im, Jungho
GISCIENCE & REMOTE SENSING, v.61, no.1, pp.2319372

 

Two-step carbon storage estimation in urban human settlements using airborne LiDAR and Sentinel-2 data based on machine learning
Lee, Yeonsu; Son, Bokyung; Im, Jungho; Zhen, Zhen; Quackenbush, Lindi J
URBAN FORESTRY & URBAN GREENING, v.94, pp.128239

 

A deep-learning-based tree species classification for natural secondary forests using unmanned aerial vehicle hyperspectral images and LiDAR
Ma, Ye; Zhao, Yuting; Im, Jungho; Zhao, Yinghui; Zhen, Zhen
ECOLOGICAL INDICATORS, v.159, pp.111608

 

A new statistical downscaling approach for short-term forecasting of summer air temperatures through a fusion of deep learning and spatial interpolation
Cho, Dongjin; Im, Jungho; Jung, Sihun
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

2023

Merging multiple sensing platforms and deep learning empowers individual tree mapping and species detection at the city scale
Kwon, Ryoungseob; Ryu, Youngryel; Yang, Tackang; Zhong, Zilong; Im, Jungho
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v.206, pp.201-221

 

K-means clustering 기법과 원격탐사 자료를 활용한 탄소기반 글로벌 해양 생태구역 분류
김영준, 배덕원, 임정호, 정시훈, 추민기, 한대현
대한원격탐사학회지, 39(5-3), pp.1043-1060

 

항공 라이다와 딥러닝 기반 도시 수목 지도를 이용한 개별 도시 수목 탐지
이연수; 손보경; 임정호
대한원격탐사학회지, 39(5-4), pp.1145-1153

 

GOCI-II 대기상한 반사도와 기계학습을 이용한 남한 지역 시간별 에어로졸 광학 두께 산출
양세영;최현영; 임정호
대한원격탐사학회지, 39(5-3), pp.933-948

 

Himawari-8 정지궤도 위성 영상을 활용한 딥러닝 기반 산불 탐지의 효율적 방안 제시
이시현; 강유진; 성태준; 임정호
대한원격탐사학회지, 39(5-3), pp.979-995

 

농림위성을 위한 기계학습을 활용한 복사전달모델기반 대기보정 모사 알고리즘 개발 및 검증: 식생 지역을 위주로
강유진; 김예진; 임정호; 임중빈
대한원격탐사학회지, 39(5-3), pp.891-907

 

기계학습을 이용한 광학 위성 영상 기반의 도시 내 수목 피복률 추정
배세정; 손보경; 성태준; 이연수; 임정호; 강유진
대한원격탐사학회지, 39(5-3), pp.1009-1029

최신 원격탐사 기법을 이용한 지구환경 모니터링 및 예측
박선영; 송아람; 이양원; 임정호; 이종성
대한원격탐사학회지, 39(5-3), pp.885-890

Key factors for quantitative precipitation nowcasting using ground weather radar data based on deep learning
Han, Daehyeon; Shin, Yeji; Im, Jungho; Lee, Juhyun
GEOSCIENTIFIC MODEL DEVELOPMENT DISCUSSIONS, v.16, no.20, pp.5895-5914

 

Diurnal Urban Heat Risk Assessment Using Extreme Air Temperatures and Real-time Population Data in Seoul
Yoo, Cheolhee; Im, Jungho; Weng, Qihao; Cho, Dongjin; Kang, Eunjin; Shin, Yeji
ISCIENCE, v.26, no.11, pp.108123

Toward an adaptable deep-learning model for satellite-based wildfire monitoring with consideration of environmental conditions
Kang, Yoojin; Sung, Taejun; Im, Jungho
REMOTE SENSING OF ENVIRONMENT, v.298, pp.113814

Synthetic Aperture Radar 인공위성 영상과 지형 자료를 활용한 하천 수변피복 분류 기계학습 알고리즘 개발
이재세; 배덕원; 김영준; 임정호
GEOAI DATA SOCIETY, v.5, no.3, pp.119-125

Novel Features of Canopy Height Distribution for Aboveground Biomass Estimation Using Machine Learning: A Case Study in Natural Secondary Forests
Ma, Ye; Zhang, Lianjun; Im, Jungho; Zhao, Yinghui; Zhen, Zhen
REMOTE SENSING, v.15, no.18, pp.4364

 

Improved Ocean–Fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning With SHAP-Based Model Interpretation
Sim, Seongmun; Im, Jungho
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v.16,  pp.7819-7837

 

Towards accurate individual tree parameters estimation in dense forest: optimized coarse-to-fine algorithms for registering UAV and terrestrial LiDAR data
Zhao, Yuting; Im, Jungho; Zhen, Zhen; Zhao, Yinghui
GISCIENCE & REMOTE SENSING, v.60, no.1, pp.2197281

Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning
Han, Daehyeon; Choo, Minki; Im, Jungho; Shin, Yeji; Lee, Juhyun; Jung, Sihun
GISCIENCE & REMOTE SENSING, v.60, no.1, pp.2203363

Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility
Janizadeh, Saeid; Bateni, Sayed M.; Jun, Changhyun; Im, Jungho; Pai, Hao-Thing; Band, Shahab S.; Mosavi, Amir
GEOMATICS NATURAL HAZARDS & RISK, v.14, no.1, pp.2206512

Direct aerosol optical depth retrievals using MODIS reflectance data and machine learning over East Asia
Kang, Eunjin; Park, Seonyoung; Kim, Miae; Yoo, Cheolhee; Im, Jungho; Song, Chang-Keun
ATMOSPHERIC ENVIRONMENT, v.309, pp.119951

A hybrid machine learning approach to investigate the changing urban thermal environment by dynamic land cover transformation: A case study of Suwon, republic of Korea
Lee, Siwoo; Yoo, Cheolhee; Im, Jungho; Cho, Dongjin; Lee, Yeonsu; Bae, Dukwon
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, v.122, pp.103408

Fine particulate concentrations over East Asia derived from aerosols measured by the advanced Himawari Imager using machine learning
Cho, Yeseul; Kim, Jhoon; Lee, Jeewoo; Choi, Myungje; Lim, Hyunkwang; Lee, Seoyoung; Im, Jungho
ATMOSPHERIC RESEARCH, v.290, pp.106787

MODIS 시계열 위성영상을 이용한 한라산과 지리산 구상나무 식생 변동 추세 분석
추민기; 유철희; 임정호; 조동진; 강유진; 오현경; 이종성
대한원격탐사학회지, 39(3), pp.325-338

Atmospheric-correction-free red tide quantification algorithm for GOCI based on machine learning combined with a radiative transfer simulation
Kim, Young Jun; Kim, Wonkook; Im, Jungho; Choi, Jongkuk; Lee, Sunju
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v.199, pp.197 - 213

Synergistic combination of information from ground observations, geostationary satellite, and air quality modeling towards improved PM2.5 predictability
Yu, Jinhyeok; Song, Chul H.; Lee, Dogyeong; Lee, Sojin; Kim, Hyun S.; Han, Kyung M.; Park, Seohui; Im, Jungho; Park, Soon-Young; Jeon, Moongu; Peuch, Vincent-Henri; Saide, Pablo E.; Carmichael, Gregory R.; Kim, Jeeho; Kim, Jhoon; Song, Chang-Keun; Woo, Jung-Hun; Ryu, Seong-Hyun
NPJ CLIMATE AND ATMOSPHERIC SCIENCE, v.6, no.1, pp.41

Retrieval of hourly PM2. 5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II. ​
Choi, hyunyoung; Park, Seonyoung; Kang, yoojin; Im, Jungho; Song, Sanghyeon
ENVIRONMENTAL POLLUTION, v.323

Improved Tropical Cyclone Track Simulation over the Western North Pacific using the WRF Model and a Machine Learning Method
Kim, Kyoungmin; Yoon, Donghyuck; Cha, Dong-Hyun; Im, Jungho
ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES

Remote sensing of sea surface salinity: challenges and research directions
Kim, Young Jun; Han, Daehyeon; Jang, Eunna; Im, Jungho; Sung, Taejun
GISCIENCE & REMOTE SENSING, v.60, no.1, pp.2166377

2022

2021

2020

2019

2018

2017

2016

2012

Fusion of feature selection and optimized immune networks for hyperspectral image classification of urban landscapes
Im, Jungho
Lu, Z.Rhee, J.Jensen, J.R.
GEOCARTO IMNTERNATIONAL, v.27, no.5, pp.373-393

2008 and earlier

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