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 | 31 | 2021 |
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 | 17 | 2023 |
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 | 14 | 2021 |
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 | 13 | 2020 |
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 | 11 | 2023 |
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 | 11 | 2018 |
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 | 10 | 2021 |
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 | 6 | 2019 |
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 | 6 | 2018 |
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 | 3 | 2024 |
Physics-Informed Machine Learning On Polar Ice: A Survey Z Liu, YH Koo, M Rahnemoonfar arXiv preprint arXiv:2404.19536, 2024 | 2 | 2024 |
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 | 2 | 2023 |
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 | 2 | 2023 |
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 | 1 | 2021 |
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 |