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
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
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
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
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
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
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
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 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
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
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
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
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
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
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
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
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
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
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
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
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
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
