2023-12 | 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, et al | ARTICLE | 1850 |
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2023-12 | Precipitation nowcasting using ground radar data and simpler yet better video prediction deep learning | Han, Daehyeon; Choo, Minki; Im, Jungho, et al | ARTICLE | 1266 |
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2023-12 | Combination four different ensemble algorithms with the generalized linear model (GLM) for predicting forest fire susceptibility | Janizadeh, Saeid; Bateni, Sayed M.; Jun, Changhyun, et al | ARTICLE | 545 |
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2023-12 | Toward an adaptable deep-learning model for satellite-based wildfire monitoring with consideration of environmental conditions | Kang, Yoojin; Sung, Taejun; Im, Jungho | ARTICLE | 163 |
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2023-09 | Direct aerosol optical depth retrievals using MODIS reflectance data and machine learning over East Asia | Kang, Eunjin; Park, Seonyoung; Kim, Miae, et al | ARTICLE | 500 |
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2023-09 | 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, et al | ARTICLE | 280 |
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2023-08 | 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, et al | ARTICLE | 190 |
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2023-08 | Improved Ocean-Fog Monitoring Using Himawari-8 Geostationary Satellite Data Based on Machine Learning With SHAP-Based Model Interpretation | Sim, Seongmun; Im, Jungho | ARTICLE | 66 |
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2023-07 | Fine particulate concentrations over East Asia derived from aerosols measured by the advanced Himawari Imager using machine learning | Cho, Yeseul; Kim, Jhoon; Lee, Jeewoo, et al | ARTICLE | 192 |
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2023-06 | Trend Analysis ofVegetation Changes of Korean Fir (Abies koreana Wilson) in Hallasan and Jirisan Using MODIS Imagery | Choo, Minki; Yo, Cheolhee; Im, Jungho, et al | ARTICLE | 170 |
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2023-05 | 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, et al | ARTICLE | 191 |
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2023-05 | 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, et al | ARTICLE | 248 |
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2023-04 | Retrieval of hourly PM2.5 using top-of-atmosphere reflectance from geostationary ocean color imagers I and II | Choi, Hyunyoung; Park, Seonyoung; Kang, Yoojin, et al | ARTICLE | 230 |
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2023-01 | 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, et al | ARTICLE | 505 |
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2023-01 | Remote sensing of sea surface salinity: challenges and research directions | Kim, Young Jun; Han, Daehyeon; Jang, Eunna, et al | ARTICLE | 348 |
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2022-12 | 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, et al | ARTICLE | 117 |
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2022-11 | A deep learning model using geostationary satellite data for forest fire detection with reduced detection latency | Kang, Yoojin; Jang, Eunna; Im, Jungho, et al | ARTICLE | 286 |
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2022-10 | An Advanced Operational Approach for Tropical Cyclone Center Estimation Using Geostationary-Satellite-Based Water Vapor and Infrared Channels | Shin, Yeji; Lee, Juhyun; Im, Jungho, et al | ARTICLE | 244 |
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2022-10 | 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., et al | ARTICLE | 263 |
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2022-10 | Development of Mid-range Forecast Models of Forest Fire Risk Using Machine Learning | Park, Sumin; Son, Bokyung; Im, Jungho, et al | ARTICLE | 539 |
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