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RESEARCH

E-WEB-Goal-13.png

Goal 13:  Climate action

2025

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

 

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

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​

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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​​

2023

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

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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

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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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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

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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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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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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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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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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.

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 

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

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

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