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PUBLICATION

3D Earth Model: NASA Visualization Technology Applications and Development (VTAD).

(Based on issue date)

Last updated : 2026/09/12

Open Data & Code

https://iris-unist.notion.site/IRIS-Lab-UNIST-Data-Code-3270dcc2040380a381e8d6ade8874c2b

2026

UNIQUE: UNified, high-resolution Intelligent carbon QUantification and Explanation

Son, Bokyung; Sung, Taejun; Bae, Sejeong; Choo, Minki; Im, Jungho; Lee, Yeonsu; Rana, S.M. Sohel; Cho, Dongjin; Yoo, Cheolhee; Hong, Jeonghyun; Lee, Hojin; Kim, Hyun Seok

Remote Sensing of Environment, 346, 115636

​

Global Three-Dimensional Chlorophyll-a Retrieval via Profile Classification and Structural Parameterization 

Cho, Haneul; Jung, Sihun; Im, Jungho; Kim, So-Hyun; Bae, Dukwon

Transactions on Geoscience & Remote Sensing, 64, 4210818

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Exploring the Potential of Machine Learning Post-Processing to Generate ERA5-Consistent Atmospheric Profiles from Geostationary Satellite Retrievals

Han, Daehyeon; Choo, Minki; Jung, Sihun; Lee, Juhyun; Choi, Hyunyoung; Im, Jungho

Remote Sensing, 18(14), 2310​

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Satellite-Based Wildfire Monitoring Across the Fire Lifecycle Using Artificial Intelligence: Trends, Challenges, and Future Directions

Yang, Seyoung; Kim, Woohyeok; Sung, Taejun; Lee, Sihyun; Lee, Garyung; Xu, Ziqiang; Im, Jungho

KOREAN JOURNAL OF REMOTE SENSING, 42(3)

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Enhanced methane monitoring: A globally harmonized daily 0.1° XCH4 through machine learning-based fusion of GOSAT, GOSAT-2, and TROPOMI

Jebun Naher Keya; Kim, Yejin; Choi, Hyunyoung; Im, Jungho

Atmospheric Measurement Techniques (AMT) ,9(12)

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AI-based forecasting provides a pathway to close the wildfire information gap in underserved regions

Kang, Yoojin; Lee, Sihyun; Cho, Dongjin; Im, Jungho

Nature Communications Earth & Environment, 7, 684

 

The urban green carbon index (UGCI): A spatial framework for suggesting urban carbon management

Seo, Inhye; Hyun, Junge; Son, Bokyung; Lee, Yeonsu; Im, Jungho; Kim, Jongho; Jeong, Sujong

PLOS One, 21(5)

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Global patterns of urban heat shaped by climate and morphology

Lee, Siwoo; Yoo, Cheolhee; Son, Bokyung; Cho, Dongjin; Im, Jungho; Chakraborty, TC

Nature Communications, 17, 6445​

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Enhancing satellite-based wildfire monitoring: An advanced framework for burn severity analysis with phenology-detrended indices

Sung, Taejun; Yang, Seyoung; Kim, Woohyeok; Kang, Yoojin; Son, Bokyung; Lee, Jaese; Im, Jungho

Remote Sensing of Environment, 343, 115488​

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ASTRA: AMSR2-to-SMAP Image-to-Image TRAnslation for Soil Moisture Conversion and Radiative Transfer Model-based Interpretation

Lee, Gyeongbin; Lee, Jaese; Im, Jungho; Son, Bokyung; Park, Sumin

International Journal of Applied Earth Observation and Geoinformation, 149, 105297

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Beyond Localized Methane Plume Detection: A Dual-Path Deep Learning Framework for Sensor-Agnostic Global Hyperspectral Methane Plume Monitoring

Yang, Seyoung; Kim, Yejin; Choo, Minki; Choi, Hyunyoung; Im, Jungho

NPJ CLIMATE AND ATMOSPHERIC SCIENCE, 9, 115

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Quantifying Multi-pollutant Co-exposure via Deep Learning-Based Simultaneous Prediction Using Geostationary Satellite Data

Kang, ​Eunjin; Jung, Sihun; Im, Jungho; Choi, Hyunyoung; Hwang, Soomin; Yoo, Cheolhee; Marshall, Julian D.; Kim, Deoksu; Kim, Jhoon; Kim, Sang-Min

Environmental Science and Technology, 60(12)

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Mapping nationwide 1 Km hourly human mobility (2022–2024) across South Korea using multi-source data

Lee, Siwoo; Kang, Yoojin; Sung, Taejun; Hwang, Soomin; Yang, Seyoung; Im, Jungho

GIScience & Remote Sensing, 63(1), 2633052

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Reconstructing long-term (2003–2019) global high-resolution XCO2: bridging observational gaps with machine learning

Hwang, Soomin; Choi, Hyunyoung; Kang, Yoojin; Im, Jungho

GIScience & Remote Sensing, 63(1), 2627042

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All-sky hourly estimation over East Asia using Himawari-8 AHI and multi-source data: investigating the main climatic drivers of afternoon depression and intraday variability in gross primary productivity

Bae, Sejeong; Son, Bokyung; Sung, Taejun; Kim, Yejin; Kim, Youngseok; Im, Jungho

GIScience & Remote Sensing, 63(1), 2609352

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ESCAPE: An ensemble-based self-calibrated autoencoder with physics-informed estimation of high-resolution soil moisture and surface roughness from ALOS-2/PALSAR-2 polarimetric observations

Lee, Jaese; Park, Haemi; Im, Jungho; Koyama, Christian; Tobias, Rogelio Ruzcko; Tadono, Takeo 

International Journal of Applied Earth Observation and Geoinformation, 147, 105206

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Exploring the impacts of dual-polarized vegetation indices and U-shaped deep learning architectures on SAR-based burned area mapping

Rana, SM Sohel; Lee, Jaese; Kang, Yoojin; Im, Jungho

International Journal of Applied Earth Observation and Geoinformation, 146, 105141


Comprehensive global fire radiative power evaluation by minimizing detection bias with intercomparison and extended triple collocation analysis

Kang, Yoojin; Lee, Jaese; Im, Jungho

Remote Sensing of Environment, 333, 115136

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2025

A novel sea ice floe fragmentation index using Sentinel-2 and AMSR2 satellite data based on machine learning

Kim, Woohyeok; Sim, Seongmun; Lee, Sanggyun; Stroeve, Julienne; Han, Daehyeon; Im, Jungho

International Journal of Applied Earth Observation and Geoinformation, 144, 104911

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Stabilizing and Optimizing of Automatic Leaf Area Index Estimation in Temporal Forest

Lee, Junghee; Cho, Nanghyun; Kim, Woohyeok; Im, Jungho; Kim, Kyungmin

Remote Sensing, 18(1), 10

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Retrieving Woody Components from Time-Series Gap-Fraction and Multispectral Satellite Observations over Deciduous Forests

Kim, Woohyeok; Lee, Jaese; Kang, Yoojin; Im, Jungho; Son, Bokyung; Lee, Jiwon

Remote Sensing, 18(1), 10

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Aerosol optical depth retrieval from Geostationary Environment Monitoring Spectrometer (GEMS): Advancing the first hyperspectral geostationary air quality mission using deep learning

Choi, Hyunyoung; Park, Seohui; Im, Jungho; Kang,Eunjin; Kim, Jhoon; Kim Sang-Min

Science of The Total Environment, 1002, 180535.

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Enhanced continuous aerosol optical depth (AOD) estimation using geostationary satellite data: focusing on nighttime AOD over East Asia

Song, Sanghyun; Kang, Yoojin; Im, Jungh; Park SangSeo

Atmospheric Environment, 121365.

​

A framework for upscaling aboveground biomass from an individual tree to landscape level and qualifying the multiscale spatial uncertainties for secondary forests

Ye Ma, Im Jungho, Zhen Zhen, Yinghui Zhao

Geo-Spatial Information Science, 28(1), 97-116.

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Robust daily satellite sea surface salinity reconstruction using deep learning in low-salinity coastal regions

Jung, Sihun; Kim, So-Hyun; Jang, Eunna; Lee, Jaese; Han, Daehyun; Im Jungho

Marine Pollution Bulletin, 221, 118462.

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Multi-task feature transfer deep learning-based tropical cyclone center estimation (MFT–TC) using geostationary satellite observations

Lee, Juhyun; Moon, Il-Ju; Im, Jungho; Kim, Dong-Hoon; Jung Hyeyoon

Weather and Climate Extremes, 100796.

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Nighttime satellite land surface temperature for urban applications: achievements, challenges, and future prospects

Kim, Youngseok; Yoo, Cheolhee; Im Jungho

GIScience & Remote Sensing, 62(1), 2527990.

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Bridging temporal gaps: AI-based temporal downscaling of biweekly NH3 to daily scale with spatial transferability

Saman Malik; Kang, Eunjin; Kang, Yoojin; Im Jungho

Remote Sensing of Environment, 323, 114735.

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Advancing hourly gross primary productivity mapping over East Asia using Himawari-8 AHI and artificial intelligence: Unveiling the impact of aerosol-induced radiation dynamics

Bae, Sejeong; Son, Bokyung; Sung, Taejun; Kang, Yoojin; Im Jungho

Remote Sensing of Environment, 323, 114735.

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PARAN: A novel physics-assisted reconstruction adversarial network using geostationary satellite data to reconstruct hourly sea surface temperatures

Jung, Sihun; Im, Jungho; Han Daehyeon

Remote Sensing of Environment, 323, 114749.

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Real-Time Wildfire Monitoring via Geostationary Satellite and Artificial Intelligence: Insights from the March 2025 South Korea Wildfires

Sung, Taejun; Lee, Garyung; Kim, Doeun; Kim, Woohyeok; Yang, Seyoung; Im Jungho

Korean Journal of Remote Sensing, 41(3), 565-580.

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Developing a novel Temporal Air-quality Risk Index using LSTM autoencoder: A case study with South Korean air quality data

Park, Hyerim; Sohn, Wonho; Kang, Eunjin ; Im, Jungho; Lee Junghye

Science of The Total Environment, 978, 179303.

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Satellite-based air quality monitoring using artificial intelligence: Research trends and future perspectives

Choi, Hyunyoung; Hwang, Soomin; Kang, Eunjin; Kim, Yejin; Yang, Seyoung; Saman Malik; Jebun Naher Keya; Lee, Sihyun; Im Jungho

Journal of Korean Society for Atmospheric Environment, 41(2), 179-198.

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Improved hourly all-sky land surface temperature estimation: Incorporating the temporal variability of cloud-radiation interactions

Bae, Dukwon; Cho, Dongjin; Im, Jungho; Yoo, Cheolhee; Lee, Yeonsu; Lee, Siwoo

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, Volume 138, 104468


Expanding high-resolution sea surface salinity estimation from coastal seas to open oceans through the synergistic use of multi-source data with machine learning

Sung, Taejun; Kim, So-Hyun; Sim, Seongmun; Han, Daehyeon; Jang, Eunna; Im, Jungho

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, Volume 137, 104427

 

Long-term prediction of Arctic sea ice concentrations using deep learning: Effects of surface temperature, radiation, and wind conditions

Kim, Young Jun; Kim, Hyun-cheol; Han, Daehyeon; Stroeve, Julienne; Im, Jungho

REMOTE SENSING OF ENVIRONMENT, Volume 318, 114568

 

CARE-SST: Context-Aware reconstruction diffusion model for Sea surface temperature

Choo, Minki; Jung, Sihun; Im, Jungho; Han, Daehyeon

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, Volume 220, pp. 454-472

 

Comprehensive 24-Hour Ground-Level Ozone Estimation: Leveraging Machine Learning for Full-Coverage in East Asia

Kim, Yejin; Park, Seohui; Choi, Hyunyoung; Im, Jungho

JOURNAL OF HAZARDOUS MATERIALS, Volume 488, 137369​​

2024

​SAMBA: Synthetic Data-Augmented Mamba-Based Change Detection Algorithm Using KOMPSAT-3A Imagery

Tobias, Rogelio Ruzcko; Bae, Sejeong; Cho, Hwanhee; Im, Jungho

KOREAN JOURNAL OF REMOTE SENSING, 40(6), pp.1505-152

 

Impact of COVID-19 on the Urban Heat Island in Daegu Using Downscaled Land Surface Temperature

Kim, Youngseok; Lee, Siwoo; Cho, Dongjin; Im, Jungho

KOREAN JOURNAL OF REMOTE SENSING, 40(6), pp.1109-1125​​​​​​​​​​​​​​​​​​​

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​An explainable AI framework for spatiotemporal risk factor analysis in public health: a case study of cardiovascular mortality in South Korea

​Kang, Eunjin; Cho, Dongjin; Lee, Siwoo; Im, Jungho; Lee, Dongwook; Yoo, Cheolhee

GISCIENCE & REMOTE SENSING, v.61, no.1, pp.2436997

​​​​​​​​​​​​​​​​​​​​​​​​​​​​

Improved SMAP Soil Moisture Retrieval Using a Deep Neural Network-based Replacement of Radiative Transfer and Roughness Model

Lee, Jaese; Im, Jungho; Son, Bokyung; Cosio, Eric G; Salinas, Norma

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

 

Unveiling teleconnection drivers for heatwave prediction in South Korea using explainable artificial intelligence

Lee, Yeonsu; Cho, Dongjin; Im, Jungho; Yoo, Cheolhee; Lee, Joonlee; Ham, Yoo-Geun; Lee, Myong-In

NPJ CLIMATE AND ATMOSPHERIC SCIENCE, Article number: 176

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Deep learning-based gap filling for near real-time seamless daily global sea surface salinity using satellite observations

Jang, Eunna; Han, Daehyeon; Im, Jungho; Sung, Taejun; Kim, Young Jun

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,  Volume 132, 104029

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ASCAT2SMAP: image-to-image translation to obtain L-band-like soil moisture from C-band satellite data

Lee, Jaese; Jung, Sihun; Im, Jungho

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, Volume 17

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Improving Short-Term Prediction of Ocean Fog Using Numerical Weather Forecasts and Geostationary Satellite-Derived Ocean Fog Data Based on AutoML

Sim, Seongmun; Im, Jungho; Jung, Sihun; Han, Daehyeon

REMOTE SENSING  16, no. 13:2348

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Enhancing Satellite-based Wildfire Monitoring: Advanced Contextual Model Using Environmental and Structural Information

Sung, Taejun; Kang, Yoojin; Im, Jungho

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

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Enhancing tropical cyclone intensity forecasting with explainable deep learning integrating satellite observations and numerical model outputs

Lee, Juhyun; Im, Jungho; Shin, Yeji

ISCIENCE, Volume 27, Issue 6109905

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Insights into Canopy Escape Ratio from Canopy Structures: Correlations Uncovered through Sentinel-2 and Field Observation

Lee, Junghee; Im, Jungho; Lim, Joongbin; Kim, Kyungmin

FORESTS, 15(4), 665

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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

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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, Volume 150, Issue 760, Pages 1222-1242

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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

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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​

 

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

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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

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Understanding the impact of forest fires on ambient air quality
Kang, Yoojin; Choi, Hyunyoung; Kim, Yejin; Im, Jungho
Korean Society for Air Quality, v.40, no.1, pp.103-117

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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​

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

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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

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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

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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

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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

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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

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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

Performance of Drought Indices in Assessing Rice Yield in North Korea and South Korea under the Different Agricultural Systems
Park, Seonyoung; Lee, Jaese; Yeom, Jongmin; Seo, Eunkyo; Im, Jungho
REMOTE SENSING, v.14, no.23, pp.6161

A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency
Kang, Yoojin; Jang, Eunna; Im, Jungho; Kwon, chungeun
GISCIENCE & REMOTE SENSING, v.59, no.1, pp.2019 - 2035

기계학습 기반의 산불위험 중기예보 모델 개발
박수민; 손보경; 임정호; 강유진; 권춘근; 김성용
대한원격탐사학회지, 38(5-2), pp.781-791.

Landsat 8/9 및 Sentinel-2 A/B를 이용한 울진 산불 피해 탐지: 다양한 지수를 기반으로 다시기 분석
김병철; 이경일; 박선영; 임정호
대한원격탐사학회지, 38(5-2), pp.765-779.

원격탐사와 GIS를 이용한 재난 예측, 감시 및 대응
김준우; 김덕진; 손홍규; 최진무; 임정호
대한원격탐사학회지, 38(5-2), pp.661-667.

다종 위성자료와 인공지능 기법을 이용한 한반도 주변 해역의 고해상도 해수면온도 자료 생산
정시훈; 추민기; 임정호; 조동진
대한원격탐사학회지, 38(5-2), pp.707-723.

다종 위성자료와 기계학습을 이용한 고해상도 표층 염분 추정
성태준; 심성문; 장은나; 임정호
대한원격탐사학회지 38(5), pp.747-763.

우리나라 연안 대형저서동물 시· 공간 군집 특성 분석
김영준; 임정호; 조춘옥; 류종성
한국지리정보학회지, 25(3), pp.100-117.

스태킹 앙상블 모델을 이용한 시간별 지상 오존 공간내삽 정확도 향상
김예진; 강은진; 조동진; 이시우; 임정호
한국지리정보학회지, 25(3), pp.74-99.

Multi-Platform LiDAR for Non-Destructive Individual Aboveground Biomass Estimation for Changbai Larch (Larix olgensis Henry) Using a Hierarchical Bayesian Approach
Wang, M.; Im, J.; Zhao, Y.; Zhen, Z.
REMOTE SENSING, v.14, no.17, pp.4361

An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared Channels
Shin, Yeji; Lee, Juhyun; Im, Jungho; and Sim, Seongmun
REMOTE SENSING, v.14, no.19, pp.4800

Estimation of shrub willow biophysical parameters across time and space from Sentinel-2 and unmanned aerial system (UAS) data
Xu, Jin; Quackenbush, Lindi J.; Volk, Timothy A; Im, Jungho
FIELD CROPS RESEARCH, v.287, pp.108655

Geostationary satellite-derived ground-level particulate matter concentrations using real-time machine learning in Northeast Asia
Park, Seohui; Im, Jungho, Kim Jhoon; Kim, Sang-min
ENVIRONMENTAL POLLUTION, v.306, pp.119425

Downscaling MODIS nighttime land surface temperatures in urban areas using ASTER thermal data through local linear forest
Yoo, Cheolhee; Im, Jungho; Cho, Dongjin; Lee, Yeonsu; Bae, Dukwon; Sismanidis, Panagiotis
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, v.110, pp.102827

Improved soil moisture estimation: Synergistic use of satellite observations and land surface models over CONUS based on machine learning
Lee, Jaese; Park, Sumin; Im, Jungho; Yoo, Cheolhee; Seo, Eunkyo
JOURNAL OF HYDROLOGY, v.609, pp.127749

Global sea surface salinity via the synergistic use of SMAP satellite and HYCOM data based on machine learning
Jang, Eunna; Kim, Young Jun; Im, Jungho; Park, Young-Guy; Sung, Taejun
REMOTE SENSING OF ENVIRONMENT, v.273, pp.112980

Development of model output statistics based on the least absolute shrinkage and selection operator regression for forecasting next-day maximum temperature in South Korea
Yoon, Donghyuck; Kim, Kyoungmin; Cha, Dong-hyun; Lee, Myong-In; Im, Jungho; Cho, Dongjin; Min, Ki-hong
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, v.148, no.745, pp.1929 - 1944

All-Sky 1 km MODIS Land Surface Temperature Reconstruction Considering Cloud Effects Based on Machine Learning

Cho, Dongjin; Bae, Dukwon; Yoo, cheolhee; Im, Jungho; Lee, Yeonsu; Lee, Siwoo

REMOTE SENSING, v.14, no.8, pp.1815

A novel ensemble learning for post-processing of NWP Model's next-day maximum air temperature forecast in summer using deep learning and statistical approaches

Cho, Dongjin; Yoo, Cheolhee; Son, Bokyung; Im, Jungho; Yoon, Donghyuck; Cha, Dong-Hyun

WEATHER AND CLIMATE EXTREMES, v.35, pp.100410

High-Resolution Seamless Daily Sea Surface Temperature Based on Satellite Data Fusion and Machine Learning over Kuroshio Extension

Jung, Sihun; Yoo, Cheolhee; Im, Jungho

REMOTE SENSING, v.14, no.3, pp.575

A Novel Tropical Cyclone Size Estimation Model Based on a Convolutional Neural Network Using Geostationary Satellite Imagery

Baek, You-Hyun; Moon, Il-Ju; Im, Jungho; Lee, Juhyun

REMOTE SENSING, v.14, no.2, pp.426

Air Quality Forecasts Improved by Combining Data Assimilation and Machine Learning With Satellite AOD
Lee, Seunghee; Park, Seohui; Lee, Myong-In; Kim, Ganghan; Im, Jungho; Song, Chang-Keun
GEOPHYSICAL RESEARCH LETTERS, v.49, no.1, pp.e2021GL096

Improved retrievals of aerosol optical depth and fine mode fraction from GOCI geostationary satellite data using machine learning over East Asia
Kang, Yoojin; Kim, Miae; Kang, Eunjin; Cho, Dongjin; Im, Jungho

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v.183, pp.253 - 268

2021

서울 지역 지상 NO2 농도 공간 분포 분석을 위한 회귀 모델 및 기계학습 기법 비교
강은진; 유철희; 신예지; 조동진; 임정호
대한원격탐사학회지, v.37, no.6-1, pp.1739 - 1756

광학위성영상을 이용한 기계학습/PROSAIL 모델 기반 엽면적지수 추정
이재세; 강유진; 손보경; 임정호; 장근창
대한원격탐사학회지, , v.37, no.6-1, pp.1719 - 1729

Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia
Kang, Yoojin; Choi, Hyunyoung; Im, Jungho; Park, Seohui; Shin, Minso; Song, Chang-Keun; Kim, Sangmin
ENVIRONMENTAL POLLUTION, v.288, 117711

모의영상을 이용한 농림위성 대기보정의 주요 파라미터 민감도 분석 및 타위성 산출물 활용 가능성 제시
강유진; 조동진; 한대현; 임정호; 임중빈; 오금희; 권언혜
대한원격탐사학회지, v.37, no.5, pp.1029-1042

GOCI 위성영상과 기계학습 기법을 이용한 Ocean Colour-Climate Change Initiative (OC-CCI) Forel-Ule Index의 공간 상세화
성태준; 김영준; 최현영; 임정호
대한원격탐사학회지, v.37, no.5, pp.959-974

GOCI-II 발사 1년, 현재와 미래
최종국; 박명숙; 한경수; 김현철; 임정호
대한원격탐사학회지, v.37, no.5, pp.1229-1234

ICESat-2 고도계 자료를 활용한 여름철 북극 융빙호 탐지
한대현; 김영준; 정시훈; 심성문; 김우혁; 장은나; 임정호; 김현철
대한원격탐사학회지, v.37, no.5, pp.1177-1186

Sentinel-1 SAR 영상을 이용한 주성분분석 및 K-means Clustering 기반 산불 탐지
이재세; 김우혁; 임정호; 권춘근; 김성용
대한원격탐사학회지, v.37, no.5, pp.1373-1387

정지 궤도 기상 위성을 이용한 기계 학습 기반 강우 강도 추정: 한반도 여름철을 대상으로
신예지; 한대현; 임정호
대한원격탐사학회지, v.37, no.5, pp.1405-1423

원격탐사를 이용한 재난 감시 및 예측과 GIS 분석
정민영; 김덕진; 손홍규; 최진무; 임정호
대한원격탐사학회지, v.37, no.5, pp.1341-1347

딥러닝 기반 Local Climate Zone 분류체계를 이용한 지표면온도와 도시열섬 분석: 수원시와 대구광역시를 대상으로
이연수; 이시우; 임정호; 유철희
대한원격탐사학회지, v.37, no.5, pp.1447-1460

항공 LiDAR 및 RGB 정사 영상을 이용한 딥러닝 기반의 도시녹지 분류
손보경; 이연수; 임정호
한국지리정보학회지, v.24, no.3, pp.83-98

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; Song, Chang-Keun; Kim, Jhoon; Lee, Myong-in
GISCIENCE & REMOTE SENSING, 1175-1194

Satellite-based Drought Forecasting: Research Trends, Challenges, and Future Directions
Son, Bokyung; Im, Jungho; Park, Sumin; Lee, Jaese
KOREAN JOURNAL OF REMOTE SENSING, v.37, no.4, pp.815-831

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; Han, Hyangsun; Han, Daehyeon
GISCIENCE & REMOTE SENSING, 1052-1071

Estimation of spatially continuous near-surface relative humidity over Japan and South Korea
Park, Haemi; Lee, Junghee; Yoo, Cheolhee; Sim, Seongmun; Im, Jungho
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING

기계학습을 활용한 동아시아 지역의 TROPOMI 기반 SO2 지상농도 추정
최현영; 강유진; 임정호
대한원격탐사학회지, v.37, no.2, pp.275-290

부스팅 기반 기계학습기법을 이용한 지상 미세먼지 농도 산출
박서희; 김미애; 임정호
대한원격탐사학회지, v.37, no.2, pp.321-335

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; Mallick, Kaniska; Liu, Qi; Tang, Lili; Im, Jungho; Guo, Li; Zhang, Jiahua
AGRICULTURAL AND FOREST METEOROLOGY, v.298, pp.108308

Improvement of SMAP sea surface salinity in river-dominated oceans using machine learning approaches
Jang, Eunna; Kim, Youngjun; Im, Jungho; Park, Young-Gyu
GISCIENCE & REMOTE SENSING, 1-23

A new drought monitoring approach: Vector Projection Analysis (VPA)
Son, Bokyung; Park, Sumin; Im, Jungho; Park, Seohui; Ke, Yinghai; Quackenbush, Lindi J.
REMOTE SENSING OF ENVIRONMENT, v.252, pp.112145

2020

Synergistic use of hyperspectral uv-visible omi and broadband meteorological imager modis data for a merged aerosol product
Go, sujung; Kim, Jhoon; Park, Sang Seo; Kim Mijin; Lim, Hyunkwang; Kim, Ji-Young; Lee, Dong-Won; Im, Jungho
REMOTE SENSING, v.12, no.23, pp.1-34

Short-Term Forecasting of Satellite-Based Drought Indices Using Their Temporal Patterns and Numerical Model Output
Park, Sumin; Im, Jungho; Han, Daehyeon; Rhee, Jinyoung
REMOTE SENSING, v.12, no.21, pp.3499

Improving Local Climate Zone Classification Using Incomplete Building Data and Sentinel 2 Images Based on Convolutional Neural Networks
Yoo, Cheolhee; Lee, Yeonsu; Cho, Dongjin; Im, Jungho; Han, Daehyeon
REMOTE SENSING, v.12, no.21, pp.3552

Developing a New Hourly Forest Fire Risk Index Based on Catboost in South Korea
Kang Yoojin; Jang, Eunna; Im, Jungho; Kwon, Chungeun; Kim, sungyong
APPLIED SCIENCES-BASEL, v.10, no.22, pp.8213

Sentinel 위성영상과 기계학습을 이용한 국내산불 피해강도 탐지
심성문; 김우혁; 이재세; 강유진; 임정호; 권춘근; 김성용
대한원격탐사학회지, v.36, no.5, pp.1109-1123

정지궤도 기상위성 및 수치예보모델 융합을 통한 Multi-task Learning 기반 태풍 강도 실시간 추정 및 예측
이주현; 유철희; 임정호; 신예지; 조동진
대한원격탐사학회지, v.36, no.5, pp.1037-1051

시계열 기계학습을 이용한 한반도 남해 해수면 온도 예측 및 고수온 탐지
정시훈; 김영준; 박수민; 임정호
대한원격탐사학회지, v.36, no.5, pp.1077-1093

위성 자료와 수치모델 자료를 활용한 스태킹 앙상블 기반 SO2 지상농도 추정
최현영; 강유진; 임정호; 신민소; 박서희; 김상민
대한원격탐사학회지, v.36, no.5, pp.1053-1066

원격탐사를 활용한 연속적 재난상황 인지 및 위험 모니터링 기술
임정호; 손홍규; 김덕진; 최진무
대한원격탐사학회지, v.36, no.5, pp.1007-1011

Forest and Crop Leaf Area Index Estimation Using Remote Sensing: Research Trends and Future Directions
Xu, Jin; Quackenbush, Lindi J.; Volk, Timothy A.; Im, Jungho
REMOTE SENSING, v.12, no.18, pp.2934

Spatial Downscaling of MODIS Land Surface Temperature: Recent Research Trends, Challenges, and Future Directions
Yoo, Cheolhee; Im, Jungho; Park, Sumin; Cho, Dongjin
대한원격탐사학회지, v.36, no.4, pp.609-626

Improvement of spatial interpolation accuracy of daily maximum air temperature in urban areas using a stacking ensemble technique
Cho, Dongjin; Yoo, Cheolhee; Im, Jungho; Lee, Yeonsu; Lee, Jaese
GISCIENCE & REMOTE SENSING, v.57, no.5, pp.633-649

Earth observations and geographic information science for sustainable development goals
Im, Jungho
GISCIENCE & REMOTE SENSING, v.57, no.5, pp. 591-592 

Object-based landfast sea ice detection over West Antarctica using time series ALOS PLASAR data
Kim, Miae; Kim, Hyun-Cheol; Im, Jungho; Lee, Sanggyun; Han, Hyangsun
REMOTE SENSING OF ENVIRONMENT, 242, 111782

Estimation of All-Weather 1km MODIS Land Surface Temperature for Humid Summer Days
Yoo, Cheolhee; Im, Jungho; Cho, Dongjin; Yokoya, Naoto; Xia, Junshi; Bechtel, Benjamin
REMOTE SENSING, v.12, no.9, pp.1398

Estimation of spatially continuous daytime particulate matter concentrations under all sky conditions through the synergistic use of satellite-based AOD and numerical models
Park, Seohui; Lee, Junghee; Im, Jungho; Song, Chang-Keun; Choi, Myungje; Kim, Jhoon; Lee, Seungun; Park, Rokjin; Kim, Sang-Min; Yoon, Jongmin; Lee, Dong-Won; Quackenbush, Lindi J.
SCIENCE OF THE TOTAL ENVIRONMENT, v.713, pp.136516

Recent ENSO influence on East African drought during rainy seasons through the synergistic use of satellite and reanalysis data
Park, Seonyoung; Kang, Daehyun; Yoo, Cheolhee; Im, Jungho; Lee, Myong-In
ISPRS PHOTOGRAMMETRY AND REMOTE SENSING, 162, 17-26

Comparative assessment of various machine learning-based bias correction methods for numerical weather prediction model forecasts of extreme air temperatures in urban areas
Cho, Dongjin; Yoo, Cheolhee; Im, Jungho; Cha, Dong‐Hyun
EARTH AND SPACE SCIENCE, v.7, no.4, pp.e2019EA000

Different spectral domain transformation for land cover classification using convolutional neural networks with multi-temporal satellite imagery
Lee, Junghee; Han, Daehyeon; Shin, Minso; Im, Jungho; Lee, Junghye; Quackenbush, Lindi J
REMOTE SENSING, v.12, no.7, pp.1097

Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks
Kim, Young Jun; Kim, Hyun-Cheol; Han, Daehyeon; Lee, Sanggyun; Im, Jungho
CRYOSPHERE, v.14, no.3, pp.1083-1104

Estimating ground-level particulate matter concentrations using satellite-based data: a review
Shin, Minso; Kang, Yoojin; Park, Seohui; Im, Jungho; Yoo, Cheolhee; Quackenbush, Lindi J.
GISCIENCE & REMOTE SENSING, v.57, no.2, pp.174-189

Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data
Lee, Juhyun; Im, Jungho; Cha, Dong-Hyun; Park, Haemi; Sim, Seongmun
REMOTE SENSING, v.12, no.1, pp.108

2019

기상 예보 및 위성 자료를 이용한 우리나라 산불위험지수의 시공간적 고도화
강유진; 박수민; 장은나; 임정호; 권춘근; 이석준
한국지리정보학회지, v.22, no.4, pp.116 - 130

Development of Satellite-based Drought Indices for Assessing Wildfire Risk
박수민; 손보경; 임정호; 이재세; 이병두; 권춘근
대한원격탐사학회지, v.35, no.6, pp.1285 - 1298

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; Bechtel, Benjamin
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v.157, pp.155 - 170

Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation
Liu, Maolin; Ke, Yinghai; Yin, Qi; Chen, Xiuwan; Im, Jungho
REMOTE SENSING, v.11, no.22, pp.2612 - 

Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches

Park, Sumin; Park, Haemi; Im, Jungho; Yoo, Cheolhee; Rhee, Jinyoung; Lee, Byungdoo; Kwon, ChunGeun

PLOS ONE, v.14, no.10, pp.e0223362

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; Im, Jungho; Lee, Su Jeong

REMOTE SENSING, v.11, no.15, pp.1741

Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery

Li, Siqi; Quackenbush, Lindi J.; Im, Jungho

REMOTE SENSING, v.11, no.16, pp.1906

Zooplankton and micronekton respond to climate fluctuations in the Amundsen Sea polynya, Antarctica
La, Hyoung Sul; Park, Keyhong; Wahlin, Anna; Arrigo, Kevin R.; Kim, Dong Seon; Yang, Eun Jin; Atkinson, Angus; Fielding, Sophie; Im, Jungho; Kim, Tae-Wan; Shin, Hyoung Chul; Lee, SangHoon; Ha, Ho Kyung
SCIENTIFIC REPORTS, v.9, no.1, pp.10087

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
AGRICULTURAL AND FOREST METEOROLOGY, v.271, pp.180 - 192

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; Sim, Seongmun; Lee, Sanggyun; Han, Hyangsun

REMOTE SENSING, v.11, no.12, pp.1454

Machine learning approaches for detecting tropical cyclone formation using satellite data
Kim, Minsang; Park, Myung-Sook; Im, Jungho; Park, S; Lee, Myong-In
REMOTE SENSING, v.11, no.10, pp.1195

Detection and monitoring of forest fires using Himawari-8 geostationary satellite data in South Korea
Jang, Eunna; Kang, Yoojin; Im, Jungho; Lee, Dong-Won; Yoon, Jongmin; Kim, Sang-Kyun
REMOTE SENSING, v.11, no.3, pp.271

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; Song, Chang-Keun; Choi, Myungje; Kim, Jhoon; Lee, Seungun; Park, Rokjin; Kim, Jiyoung; Lee, Dong-Won; Kim, Sang-Kyun
ATMOSPHERIC CHEMISTRY AND PHYSICS, v.19, no.2, pp.1097 - 1113

2018

Convolutional Neural Network-Based Land Cover Classification Using 2-D Spectral Reflectance Curve Graphs With Multitemporal Satellite Imagery

Miae Kim, Junghee Lee, Daehyeon Han, Minso Shin, Jungho Im, Junghye Lee, Lindi J Quackenbush, Zhu Gu

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

The Estimation of Arctic Air Temperature in Summer Based on Machine Learning Approaches Using IABP Buoy and AMSR2 Satellite Data

한대현; 김영준; 임정호; 이상균; 이연수; 김현철

대한원격탐사학회지, v.34, no.6, pp.1261 - 1272

Prediction of Drought on Pentad Scale Using Remote Sensing Data and MJO Index through Random Forest over East Asia
Seonyoung Park, Eunkyo Seo, Daehyun Kang, Jungho Im, Myong-In Lee
REMOTE SENSING, 10 (11), 1811

Intercomparison of Downscaling Techniques for Satellite Soil Moisture Products
Kim, Daeun; Moon, Heewon; Kim, Hyunglok; Im, Jungho; Choi, Minha
ADVANCES IN METEOROLOGY, v.2018, no., pp.4832423 -

Intercomparison of Terrestrial Carbon Fluxes and Carbon Use Efficiency Simulated by CMIP5 Earth System Models
Kim, Dongmin; Lee, Myong-In; Jeong, Su-Jong; Im, Jungho; Cha, Dong-Hyun; Lee, Sanggyun
ASIA-PACIFIC JOURNAL OF ATMOSPHERIC SCIENCES, v.54, no.2, pp.145 - 163

Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data
Lee, Sanggyun; Kim, Hyun-cheol; Im, Jungho
CRYOSPHERE, v.12, no.5, pp.1665 - 1679

Machine Learning Approaches for Estimating Forest Stand Height Using Plot-Based Observations and Airborne LiDAR Data
Lee, Junghee; Im, Jungho; Kim, Kyungmin; Quackenbush, Lindi J.
FORESTS, v.9, no.5, pp.268 -

Effects of seasonal variations on sediment-plume streaks from dredging operations
Kim, Nam-Hoon; Pham, Van Sy; Hwang, Jin Hwan; Won, Nam Il; Ha, Ho Kyung; Im, Jungho; Kim, Youngsung
MARINE POLLUTION BULLETIN, v.129, no.1, pp.26 - 34

Icing detection over East Asia from geostationary satellite data using machine learning approaches
Sim, Seongmun; Im, Jungho; Park, Sumin; Park, Haemi; Ahn, Myoung Hwan; Chan, Pak-wai
REMOTE SENSING, v.10, no.4, pp.631 -

Deep learning-based monitoring of overshooting cloud tops from geostationary satellite data
Kim, Miae; Lee, Junghye; Im, Jungho
GISCIENCE & REMOTE SENSING, v.55, no.5, pp.763 - 792

Estimation of daily maximum and minimum air temperatures in urban landscapes using MODIS time series satellite data
Yoo, Cheolhee; Im, Jungho; Park, Seonyoung; Quackenbush, Lindi J.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v.137, no., pp.149 - 162

Classification and mapping of paddy rice by combining Landsat and SAR time series data
Park, Seonyoung; Im, Jungho; Park, Seohui; Yoo, Cheolhee; Han, Hyangsun; Rhee, Jinyoung
REMOTE SENSING, v.10, no.3, pp.447 -

Developing data-driven models for quantifying Cochlodinium polykrikoides using the Geostationary Ocean Color Imager (GOCI)
Kwon, Yong Sung; Jang, Eunna; Im, Jungho; Baek, Seung Ho; Park, Yongeun; Cho, Kyung Hwa
INTERNATIONAL JOURNAL OF REMOTE SENSING, v.39, no.1, pp.68 - 83

Impact of seasonal vertical stratification on the dispersion patterns of dredging plumes off the south coast of Korea
Seo, Jun Young; Ha, Ho Kyung; Im, Jungho; Hwang, Jin Hwan; Choi, Sun Min; Won, Nam-Il; Kim, Youngsung
MARINE GEOLOGY, 395, 14-21.

2017

기계학습 기반 상세화를 통한 위성 지표면온도와 환경부 토지피복도를 이용한 열환경 분석: 대구광역시를 중심으로
유철희; 임정호; 박선영; 조동진
대한원격탐사학회지, v.33, no.6-2, pp.1101 - 1118

Estimation of Fugacity of Carbon Dioxide in the East Sea Using In Situ Measurements and Geostationary Ocean Color Imager Satellite Data
Jang, Eunna; Im, Jungho; Park, Geun-Ha; Park, Young-Gyu
REMOTE SENSING, v.9, no.8, pp.821 -

CO2 concentration and its spatiotemporal variation in the troposphere using multi-sensor satellite data, carbon tracker, and aircraft observations
Lee, Sanggyun; Kim, Dongmin; Im, Jungho; Lee, Myong-In; Park, Young-Gyu
GISCIENCE & REMOTE SENSING, v.54, no.4, pp.592 - 6913

A new optimized algorithm for automating endmember pixel selection in the SEBAL and METRIC models
Bhattarai, Nishan; Quackenbush, Lindi J.; Im, Jungho; Shaw, Stephen B.
REMOTE SENSING OF ENVIRONMENT, v.196, no., pp.178 - 192

Detection of tropical overshooting cloud tops using himawari-8 imagery
Kim, Miae; Im, Jungho; Park, Haemi; Park, Seonyoung; Lee, Myong-In; Ahn, Myoung-Hwan
REMOTE SENSING, v.9, no.7, pp.685 -

Meteorological drought forecasting for ungauged areas based on machine learning: Using long-range climate forecast and remote sensing data
Rhee, Jinyoung; Im, Jungho
AGRICULTURAL AND FOREST METEOROLOGY, v.237-238, no., pp.105 - 122

Drought monitoring using high resolution soil moisture through multi-sensor satellite data fusion over the Korean peninsula
Park, Seonyoung; Im, Jungho; Park, Sumin; Rhee, Jinyoung​
AGRICULTURAL AND FOREST METEOROLOGY, v.237-238, no., pp.257 - 269

Downscaling GLDAS Soil Moisture Data in East Asia through Fusion of Multi-Sensors by Optimizing Modified Regression Trees
Park, Seonyoung; Park, Sumin; Im, Jungho; Rhee, Jinyoung; Shin, Jinho; Park, Jun Dong
WATER, 9(5), p.332.

Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data
Lee, Sanggyun; Han, Hyangsun; Im, Jungho; Jang, Eunna; Lee, Myong-In
ATMOSPHERIC MEASUREMENT TECHNIQUES, v.10, no.5, pp.1559 - 1574

Spatiotemporal downscaling approaches for monitoring 8-day 30 m actual evapotranspiration
Ke, Yinghai; Im, Jungho; Park, Seonyoung; Gong, Huili
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v.126, no., pp.79 - 93

2016

Variations in ice velocities of Pine Island Glacier Ice Shelf evaluated using multispectral image matching of Landsat time series data
Han, Hyangsun; Im, Jungho; Kim, Hyun-cheol
REMOTE SENSING OF ENVIRONMENT, v.186, no., pp.358 - 371

Enhanced greenhouse gas emission from exposed sediments along a hydroelectric reservoir during an extreme drought event
Jin, Hyojin; Yoon, Tae Kyung; Lee, Seung-Hoon; Kang, Hojeong; Im, Jungho; Park, Ji-Hyung
ENVIRONMENTAL RESEARCH LETTERS, v.11, no., pp.124003 -

Intercomparison of Terrestrial Carbon Fluxes and Carbon Use Efficiency Simulated by CMIP5 Earth System Models
Kim, Dongmin; Lee, Myoung-In; Jeong, Su-Jong; Im, Jungho, et al
BIOGEOSCIENCES, v., no., pp. - 

Detection of tropical cyclone genesis via quantitative satellite ocean surface wind pattern and intensity analyses using decision trees
Park, Myung-Sook; Kim, Minsang; Lee, Myong-In; Im, Jungho; Park, Seonyoung
REMOTE SENSING OF ENVIRONMENT, v.183, no., pp.205 - 214

Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection

Lee, Sanggyun; Im, Jungho; Kim, Jinwoo; Kim, Miae; Shin, Minso; Kim, Hyun-cheol; Quackenbush, Lindi J.

REMOTE SENSING, v.8, no.9, pp.686 -

Downscaling of AMSR-E soil moisture with MODIS products using machine learning approaches
Im, Jungho; Park, Seonyoung; Rhee, Jinyoung, et al
ENVIRONMENTAL ERATH SCIENCES, v.75, no.15, pp.1120 - 

Evaluating five remote sensing based single-source surface energy balance models for estimating daily evapotranspiration in a humidsubtropical climate

Bhattarai, Nishan; Shaw, Stephen B.; Quackenbush, Lindi J.; Im, Jungho; Niraula, Rewati

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, v.49, no., pp.75 - 86

GOCI 위성영상과 기계학습을 이용한 한반도 연안 수질평가지수 측정
Jang, Eunna; Im, Jungho; Ha, Sunghyun, et al
한국원격탐사학회지, v.32, no.3, pp.221 - 234

An improved tree crown delineation method based on live crown ratios from airborne LiDAR data
Fang, Fang; Im, Jungho; Lee, Junghee; Kim, Kyoungmin
GISCIENCE & REMOTE SENSING, v.53, no.3, pp.402 - 419

Downscaling of MODIS One kilometer evapotranspiration using Landsat-8 data and machine learning approaches
Ke, Yinghai; Im, Jungho; Park, Seonyoung; Gong, Huili
REMOTE SENSING, v.8, no.3, pp.215 -

Spatial and diurnal variations of storm heights in the East Asia summer monsoon: storm height regimes and large-scale diurnal modulation
Park, Myung-Sook; Lee, Myong-In; Kim, Hyerim; Im, Jungho; Yoo, Jung-Moon
CLIMATE DYNAMICS, v.46, no.3, pp.745 - 763

Chlorophyll-a concentration estimation using three difference bio-optical algorithms, including a correction for the low-concentration range: the case of the Yiam reservoir, Korea
Pyo, JongCheol; Ha, SeongHyeon; Yakov A. Pachepsky; Lee, Hyuk; Ha, Rim; Nam, Gibeom; Kim. Moon S.; Im, Jungho; Cho, Kyung Hwa
REMOTE SENSING LETTERS, v.7, no.5, pp.407 - 416

Drought assessment and monitoring through blending of multi-sensor indices using machine learning approaches for different climate regions
Park, Seonyoung; Im, Jungho; Jang, Eunna, Rhee, Jinyoung
AGRICULTURAL AND FOREST METEOROLOGY, v.216, no., pp.157 - 169

Retrieval of Melt Ponds on Arctic Multiyear Sea Ice in Summer from TerraSAR-X Dual-Polarization Data Using Machine Learning Approaches: A Case Study in the Chukchi Sea with Mid-Incidence Angle Data
Han, Hyangsun; Kim, Miae; Sim, Seongmun; Kim, Jinwoo; Kim, Duk-jin; Kang, Sung-Ho; Im, Jungho
REMOTE SENSING, v.8, no.1, pp.1 - 23

2012

Forest biomass estimation from airborne LiDAR data using machine learning approaches
Gleason, Colin J.; Im, Jungho
REMOTE SENSING OF ENVIRONMENT, v.125, no., pp.80-91

Variable selection for hedonic model using machine learning approaches: A case study in Onondaga County, NY
Yoo, Sanglim; Im, Jungho; Wagner, John E.
LANDSCAPE AND URBAN PLANNING, v.107, no.3, pp.293-306

Indicators for separating undesirable and well-delineated tree crowns in high spatial resolution images
Im, Jungho; Lu, Z.; Rhee, J., et al
INTERNATIONAL JOURNAL OF REMOTE SENSING, v.33, no.17, pp.5451-5472

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

A Fusion Approach for Tree Crown Delineation from Lidar Data
Gleason, Colin J.; Im, Jungho
PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, v.78, no.7, pp.679-692

Characterization of Forest Crops with a Range of Nutrient and Water Treatments Using AISA Hyperspectral Imagery
Gong, Binglei; Im, Jungho; Jensen, John R., et al
GISCIENCE & REMOTE SENSING, v.49, no.4, pp.463-491

Impervious surface quantification using a synthesis of artificial immune networks and decision/regression trees from multi-sensor data
Im, Jungho; Lu, Zhenyu; Rhee, Jinyoung, et al
REMOTE SENSING OF ENVIRONMENT, v.117, no., pp.102-113

Vegetation Cover Analysis of Hazardous Waste Sites in Utah and Arizona Using Hyperspectral Remote Sensing
Im, Jungho; Jensen, John R.; Jensen, Ryan R., et al
REMOTE SENSING, v.4, no.2, pp.327-353

2008 and earlier

Hyperspectral remote sensing of vegetation
Im, Jungho; Jensen, J.R.
GEOGRAPHY COMPASS, v.2, no.6, pp.1943-1961

Delineation of climate regions using in-situ and remotely-sensed data for the Carolinas
Rhee, Jinyoung; Im, Jungho; Carbone, Gregory J., et al
REMOTE SENSING OF ENVIRONMENT, v.112, no.6, pp.3099-3111

Optimizing the binary discriminant function in change detection applications
Im, Jungho; Jensen, John R.; Hodgson, Michael E.
REMOTE SENSING OF ENVIRONMENT, v.112, no.6, pp.2761-2776

Object-based land cover classification using high-posting-density LiDAR data
Im, Jungho; Jensen, John R.; Hodgson, Michael E.
GISCIENCE & REMOTE SENSING, v.45, no.2, pp.209-228

Object-based change detection using correlation image analysis and image segmentation
Im, Jungho; Jensen, J. R.; Tullis, J. A.
INTERNATIONAL JOURNAL OF REMOTE SENSING, v.29, no.2, pp.399-423

An automated binary change detection model using a calibration approach
Im, Jungho; Rhee, Jinyoung; Jensen, John R., et al
REMOTE SENSING OF ENVIRONMENT, v.106, no.1, pp.89-105

Non-point Source Critical Area Analysis and Embedded RUSLE Model Development for Soil Loss Management in the Congaree River Basin in South Carolina, USA
Rhee, Jin-Young; Im, Jungho
한국공간정보학회지, v.14, no.4, pp.363-377

Neighborhood Correlation Image Analysis for Change Detection Using Different Spatial Resolution Imagery
Im, Jungho
대한원격탐사학회지, v.22, no.5, pp.337-350

Remote sensing agricultural crop type for sustainable development in South Africa
Jensen, J.R.; Garcia-Quijano, M. ; Hadley, B., et al
GEOCARTO IMNTERNATIONAL, v.21, no.2, pp. 5-18

A change detection model based on neighborhood correlation image analysis and decision tree classification
Im, Jungho; Jensen, JR
REMOTE SENSING OF ENVIRONMENT, v.99, no.3, pp.326-340

Neural Networks Approach to Fire Severity Mapping from a Single Post-Fire Landsat 7 ETM+ Imagery
Im, Jungho; Park, Jong hwa
대한원격탐사학회지, v.20, no.1, pp.23-38

원격탐사를 이용한 수질평가시의 인공신경망에 의한 분석과 기존의 회귀분석과의 비교
Im, Jungho; Jung, Jong chul
대한원격탐사학회지, v.15, no.2, pp.107-117

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