19 citations as recorded by crossref.

1. Validation of an AMSR2 Thin-Ice Thickness Algorithm for Global Sea-Ice-Covered Oceans Using Satellite and In Situ Observations K. Nakata et al.
2. Surface Broadband Radiation Data from a Bipolar Perspective: Assessing Climate Change Through Machine Learning A. Cavaliere et al.
3. Parameterization, sensitivity, and uncertainty of 1-D thermodynamic thin-ice thickness retrieval T. Zhang et al.
4. Cloud Identification and Phase Classification by Submillimeter and Infrared Synergistic Observations in the Arctic S. Li et al.
5. A Model-Based Temperature Adjustment Scheme for Wintertime Sea-Ice Production Retrievals from MODIS A. Preußer et al.
6. A new sea ice concentration retrieval algorithm from thermal infrared imagery Y. Ye et al.
7. High-resolution maps of Arctic surface skin temperature and type retrieved from airborne thermal infrared imagery collected during the HALO–(𝒜 𝒞)3 campaign J. Müller et al.
8. A neural network-based method for satellite-based mapping of sediment-laden sea ice in the Arctic H. Waga et al.
9. Machine learning for estimating phytoplankton size structure from satellite ocean color imagery in optically complex Pacific Arctic waters H. Waga et al.
10. DynIceData: a gridded ice–water classification dataset at short-time intervals based on observations from multiple satellites over the marginal ice zone L. Huang et al.
11. Eighteen-year record of circum-Antarctic landfast-sea-ice distribution allows detailed baseline characterisation and reveals trends and variability A. Fraser et al.
12. A Machine-Learning-Based Cloud Detection and Cloud-Top Thermodynamic Phase Algorithm over the Arctic Using FY3D/MERSI-II C. Yu et al.
13. Uncertainty-Incorporated Ice and Open Water Detection on Dual-Polarized SAR Sea Ice Imagery X. Chen et al.
14. A Machine Learning Model for FY-4A Cloud Detection Based on Physical Feature Fusion Y. Liang et al.
15. Optical Classification of Water Types in Cook Inlet, Alaska H. Waga & M. Johnson
16. Cloud-Tolerant Multiwidth Arctic Sea-Ice Lead Detection Using FY-3D MERSI-II 250-m TIR Data L. Zhang et al.
17. Exploring machine learning techniques to retrieve sea surface temperatures from passive microwave measurements E. Alerskans et al.
18. An Accurate Sea Ice Identification Method for Chinese FY-3F MERSI-III Based on Fuzzy C-Means Clustering H. Wang et al.
19. A New Normalized Difference Ice Index (NDII) Based on GOCI Imagery for Accurate Sea Ice Extraction: Application in Peter the Great Bay, Sea of Japan Q. Hou et al.