| 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 | 22 | 2021 |
| 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 | 12 | 2018 |
| 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 | 11 | 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 | 10 | 2020 |
| 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 | 9 | 2023 |
| 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 | 6 | 2023 |
| 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 | 6 | 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 | 5 | 2018 |
| 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 |
| Graph Neural Networks as Fast and High-fidelity Emulators for Finite-Element Ice Sheet Modeling M Rahnemoonfar, Y Koo arXiv preprint arXiv:2402.05291, 2024 | 1 | 2024 |
| 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 |
| Graph Neural Networks for Emulation of Finite-Element Ice Dynamics in Greenland and Antarctic Ice Sheets Y Koo, M Rahnemoonfar arXiv preprint arXiv:2406.18423, 2024 | | 2024 |
| Inferring the seasonality of sea ice floes in the Weddell Sea using ICESat-2 M Gupta, H Regan, YH Koo, SMT Chua, X Li, P Heil EGUsphere 2024, 1-27, 2024 | | 2024 |
| Physics-Informed Machine Learning for Prediction of Sea Ice Dynamics Derived from Spaceborne Passive Microwave Data Y Koo, M Rahnemoonfar 2024 IEEE Radar Conference (RadarConf24), 1-6, 2024 | | 2024 |
| Physics-Informed Machine Learning On Polar Ice: A Survey Z Liu, YH Koo, M Rahnemoonfar arXiv preprint arXiv:2404.19536, 2024 | | 2024 |
| Prediction of sea ice dynamics using physics-informed convolutional neural network YH Koo, H Xie, M Rahnemoonfar AGU23, 2023 | | 2023 |
| An efficient digital twin for Ice Sheet System Model (ISSM) based on deep learning YH Koo, M Rahnemoonfar AGU23, 2023 | | 2023 |
| The forward cascade of sea ice floes in the Weddell Sea M Gupta, H Regan, YH Koo, S Chua, X Li, P Heil | | 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 | | 2023 |
