Sanggyun Lee - Concepedia

Author

Sanggyun Lee

Ulsan National Institute of Science and Technology

Also Known As

Sanggyun Lee

Publications

689

Citations

H-Index

Concepts

All Affiliations

Ulsan National Institute of Science and Technology Korea Polar Research Institute University College London Centre for Polar Observation and Modelling GS Caltex (South Korea)

About

Sanggyun Lee is an author at Ulsan National Institute of Science and Technology specializing in engineering, earth science, and geography.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	11	589
2	Geography	8	8	501
3	Data Science	5	5	338
4	Chemical Engineering	1	1	10
5	Chemistry	1	1	10

Sanggyun Lee

Publications

648

Citations

H-Index

Page 1

	Year	Citations
Arctic Sea Ice Thickness Estimation from CryoSat-2 Satellite Data Using Machine Learning-Based Lead Detection Sanggyun Lee, Jungho Im, Jin‐Woo Kim, Remote Sensing Earth ObservationArctic EngineeringEnvironmental MonitoringMachine LearningEngineering	2016	116
Prediction of monthly Arctic sea ice concentrations using satellite and reanalysis data based on convolutional neural networks Young Jun Kim, Hyun‐Cheol Kim, Daehyeon Han, The cryosphere Convolutional Neural NetworkGlacierEngineeringReanalysis DataWeather Forecasting	2020	112
Machine learning approaches to retrieve pan-Arctic melt ponds from visible satellite imagery Sanggyun Lee, Michel Tsamados, Alia L. Khan Remote Sensing of Environment Earth ObservationPan-arctic Melt PondsImage AnalysisMachine LearningData Science	2020	67
Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data Sanggyun Lee, Hyangsun Han, Jungho Im, Atmospheric measurement techniques Korean PeninsulaEnvironmental MonitoringEngineeringWeather ForecastingDisaster Detection	2017	61
Landfast sea ice monitoring using multisensor fusion in the Antarctic Miae Kim, Jungho Im, Hyangsun Han, GIScience & Remote Sensing	2015	59
Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches Hyangsun Han, Sanggyun Lee, Jungho Im, Remote Sensing Earth ObservationEnvironmental MonitoringEngineeringNortheast AsiaWeather Forecasting	2015	53
CryoSat Ice Baseline-D validation and evolutions Marco Meloni, Jérôme Bouffard, Tommaso Parrinello, The cryosphere Ice-water SystemEngineeringSatellite MeasurementTerrestrial Ice SheetsStandard Deviation	2020	51
A Novel Framework of Detecting Convective Initiation Combining Automated Sampling, Machine Learning, and Repeated Model Tuning from Geostationary Satellite Data Daehyeon Han, Juhyun Lee, Jungho Im, Remote Sensing Earth ObservationEngineeringMachine LearningWeather ForecastingDisaster Detection	2019	41
Arctic lead detection using a waveform mixture algorithm from CryoSat-2 data Sanggyun Lee, Hyun‐Cheol Kim, Jungho Im The cryosphere Earth ObservationArctic Lead DetectionEngineeringCryosat-2 DataGeography	2018	30
Intercomparison of Terrestrial Carbon Fluxes and Carbon Use Efficiency Simulated by CMIP5 Earth System Models Dongmin Kim, Myong‐In Lee, Sujong Jeong, Asia-Pacific Journal of Atmospheric Sciences Carbon SequestrationBiogeochemistryEngineeringEarth SystemCarbon Sink	2017	27

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