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YoungHyun Koo
YoungHyun Koo
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder
Zweryfikowany adres z colorado.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Estimation of thermodynamic and dynamic contributions to sea ice growth in the Central Arctic using ICESat-2 and MOSAiC SIMBA buoy data
YH Koo, R Lei, Y Cheng, B Cheng, H Xie, M Hoppmann, NT Kurtz, ...
Remote Sensing of Environment 267, 112730, 2021
312021
Automated detection and tracking of medium-large icebergs from Sentinel-1 imagery using Google Earth Engine
Y Koo, H Xie, H Mahmoud, JM Iqrah, SF Ackley
Remote Sensing of Environment 296, 113731, 2023
172023
Semi-automated tracking of iceberg B43 using Sentinel-1 SAR images via Google Earth Engine
YH Koo, H Xie, SF Ackley, AM Mestas-Nuñez, GJ Macdonald, CU Hyun
The Cryosphere 15 (10), 4727-4744, 2021
142021
Estimation and mapping of solar irradiance for korea by using COMS MI satellite images and an artificial neural network model
YH Koo, M Oh, SM Kim, HD Park
Energies 13 (2), 301, 2020
132020
Sea ice surface type classification of ICESat-2 ATL07 data by using data-driven machine learning model: Ross Sea, Antarctic as an example
Y Koo, H Xie, NT Kurtz, SF Ackley, W Wang
Remote Sensing of Environment 296, 113726, 2023
112023
Analysis of photovoltaic potential and selection of optimal site near gumdeok mine, North Korea
MC Oh, SM Kim, YH Koo, HD Park
Journal of the Korean Society for New and Renewable Energy 14 (3), 44-53, 2018
112018
Weekly mapping of sea ice freeboard in the ross sea from ICESat-2
YH Koo, H Xie, NT Kurtz, SF Ackley, AM Mestas-Nuñez
Remote Sensing 13 (16), 3277, 2021
102021
Estimation of solar irradiance at weather stations in Korea using regionally trained artificial neural network models
YH Koo, SM Kim, M Oh, HD Park
Journal of the Korean Society of Mineral and Energy Resources Engineers 56 …, 2019
62019
Landslide risk assessment at the gumdeok mine in North Korea using satellite images and GIS spatial data
K Younghyun, S Kim, M Oh, HD Park
Journal of the Korean Society of Mineral and Energy Resources Engineers 55 …, 2018
62018
Graph Neural Networks as Fast and High-fidelity Emulators for Finite-Element Ice Sheet Modeling
M Rahnemoonfar, Y Koo
arXiv e-prints, arXiv: 2402.05291, 2024
32024
Physics-Informed Machine Learning On Polar Ice: A Survey
Z Liu, YH Koo, M Rahnemoonfar
arXiv preprint arXiv:2404.19536, 2024
22024
Multi-task Deep Convolutional Network to Predict Sea Ice Concentration and Drift in the Arctic Ocean
Y Koo, M Rahnemoonfar
arXiv preprint arXiv:2311.00167, 2023
22023
Toward Polar Sea-Ice Classification using Color-based Segmentation and Auto-labeling of Sentinel-2 Imagery to Train an Efficient Deep Learning Model
JM Iqrah, Y Koo, W Wang, H Xie, S Prasad
arXiv preprint arXiv:2303.12719, 2023
22023
Spatiotemporal Analysis of Sea Ice Leads in the Arctic Ocean Retrieved from IceBridge Laxon Line Data 2012–2018
D Sha, Y Koo, X Miao, A Srirenganathan, H Lan, S Biswas, Q Liu, ...
Remote Sensing 13 (20), 4177, 2021
12021
Scalable Higher Resolution Polar Sea Ice Classification and Freeboard Calculation from ICESat-2 ATL03 Data
JM Iqrah, Y Koo, W Wang, H Xie, SK Prasad
arXiv preprint arXiv:2502.02700, 2025
2025
Scalable Higher Resolution Polar Sea Ice Classification and Freeboard Calculation from ICESat-2 ATL03 Data
J Masuma Iqrah, Y Koo, W Wang, H Xie, SK Prasad
arXiv e-prints, arXiv: 2502.02700, 2025
2025
Prediction of sea ice topography using satellite remote sensing and deep learning
YH Koo, W Meier, JJ Cassano
AGU24, 2024
2024
Graph convolutional network as a fast statistical emulator for numerical ice sheet modeling
Y Koo, M Rahnemoonfar
Journal of Glaciology 71 (e15), 1-13, 2024
2024
Hierarchical Information-sharing Convolutional Neural Network for the Prediction of Arctic Sea Ice Concentration and Velocity
Y Koo, M Rahnemoonfar
IEEE Transactions on Geoscience and Remote Sensing, 2024
2024
Thermodynamic and dynamic variations in sea ice thickness of the Ross Sea, Antarctica, driven by atmospheric circulation
Y Koo, H Xie, SF Ackley
Journal of Geophysical Research: Oceans 129 (10), e2023JC020622, 2024
2024
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