2020-05 | Estimation of All-Weather 1 km MODIS Land Surface Temperature for Humid Summer Days | Yoo, Cheolhee; Im, Jungho; Cho, Dongjin, et al | ARTICLE | 362 |
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2020-04 | 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, et al | ARTICLE | 401 |
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2020-04 | 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, et al | ARTICLE | 380 |
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2020-04 | 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, et al | ARTICLE | 595 |
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2020-04 | Different Spectral Domain Transformation for Land Cover Classification Using Convolutional Neural Networks with Multi-Temporal Satellite Imagery | Lee, Junghee; Han, Daehyeon; Shin, Minso, et al | ARTICLE | 501 |
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2020-03 | 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, et al | ARTICLE | 563 |
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2020-02 | Estimating ground-level particulate matter concentrations using satellite-based data: a review | Shin, Minso; Kang, Yoojin; Park, Seohui, et al | ARTICLE | 582 |
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2020-01 | Tropical Cyclone Intensity Estimation Using Multi-Dimensional Convolutional Neural Networks from Geostationary Satellite Data | Lee, Juhyun; Im, Jungho; Cha, Dong-Hyun, et al | ARTICLE | 659 |
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2019-12 | 기상 예보 및 위성 자료를 이용한 우리나라 산불위험지수의 시공간적 고도화 | 강유진; 박수민; 장은나, et al | ARTICLE | 595 |
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2019-12 | 산불발생위험 추정을 위한 위성기반 가뭄지수 개발 | 박수민; 손보경; 임정호, et al | ARTICLE | 369 |
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2019-11 | 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, et al | ARTICLE | 513 |
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2019-11 | Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation | Liu, Maolin; Ke, Yinghai; Yin, Qi, et al | ARTICLE | 364 |
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2019-10 | Delineation of high resolution climate regions over the Korean Peninsula using machine learning approaches | Park, Sumin; Park, Haemi; Im, Jungho, et al | ARTICLE | 550 |
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2019-08 | 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, et al | ARTICLE | 514 |
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2019-08 | Airborne Lidar Sampling Strategies to Enhance Forest Aboveground Biomass Estimation from Landsat Imagery | Li, Siqi; Quackenbush, Lindi J.; Im, Jungho | ARTICLE | 549 |
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2019-07 | Zooplankton and micronekton respond to climate fluctuations in the Amundsen Sea polynya, Antarctica | La, Hyoung Sul; Park, Keyhong; Wahlin, Anna, et al | ARTICLE | 638 |
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2019-06 | 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 | ARTICLE | 620 |
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2019-06 | 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, et al | ARTICLE | 766 |
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2019-05 | Machine learning approaches for detecting tropical cyclone formation using satellite data | Kim, Minsang; Park, Myung-Sook; Im, Jungho, et al | ARTICLE | 679 |
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2019-02 | Detection and monitoring of forest fires using Himawari-8 geostationary satellite data in South Korea | Jang, Eunna; Kang, Yoojin; Im, Jungho, et al | ARTICLE | 680 |
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