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Showing results 1 to 10 of 10

Issue DateTitleAuthor(s)TypeView
2019-06A novel framework of detecting convective initiation combining automated sampling, machine learning, and repeated model tuning from geostationary satellite dataHan, Daehyeon; Lee, Juhyun; Im, Jungho; Sim, Seongmun; Lee, Sanggyun; Han, HyangsunARTICLE157
2018-05Arctic lead detection using a waveform mixture algorithm from CryoSat-2 dataLee, Sanggyun; Kim, Hyun-cheol; Im, JunghoARTICLE304
2016-09Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead DetectionLee, Sanggyun; Im, Jungho; Kim, Jinwoo; Kim, Miae; Shin, Minso; Kim, Hyun-cheol; Quackenbush, Lindi J.ARTICLE377
2017-07CO2 concentration and its spatiotemporal variation in the troposphere using multi-sensor satellite data, carbon tracker, and aircraft observationsLee, Sanggyun; Kim, Dongmin; Im, Jungho; Lee, Myong-In; Park, Young-GyuARTICLE672
2015-07Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Based on Machine Learning ApproachesHan, Hyangsun; Lee, Sanggyun; Im, Jungho; Kim, Miae; Lee, Myong-In; Ahn, Myoung Hwan; Chung, Sung-RaeARTICLE685
2017-05Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager dataLee, Sanggyun; Han, Hyangsun; Im, Jungho; Jang, Eunna; Lee, Myong-InARTICLE411
2016-06GOCI 위성영상과 기계학습을 이용한 한반도 연안 수질평가지수 추정Jang, Eunna; Im, Jungho; Ha, Sunghyun; Lee, Sanggyun; Park, Young-GyuARTICLE646
2016-12Intercomparison of Terrestrial Carbon Fluxes and Carbon Use Efficiency Simulated by CMIP5 Earth System ModelsKim, Dongmin; Lee, Myong-In; Jeong, Su-Jong; Im, Jungho; Cha, Dong-Hyun; Lee, SanggyunARTICLE304
2015-03Landfast sea ice monitoring using multisensor fusion in the AntarcticKim, Miae; Im, Jungho; Han, Hyangsun; Kim, Jinwoo; Lee, Sanggyun; Shin, Minso; Kim, Hyun-CheolARTICLE717
2018-02Monitoring and Characterization of Arctic Sea Ice using Radar AltimetryIm, Jungho; Lee, SanggyunDoctoral thesis493
Showing results 1 to 10 of 10

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