10 citations as recorded by crossref.

1. An Introduction to Machine and Deep Learning Methods for Cloud Masking Applications A. Anzalone et al. 10.3390/app14072887
2. Developing a High-Resolution Seamless Surface Water Extent Time-Series over Lake Victoria by Integrating MODIS and Landsat Data G. Wu et al. 10.3390/rs15143500
3. Cloud Identification and Phase Classification by Submillimeter and Infrared Synergistic Observations in the Arctic S. Li et al. 10.1109/TGRS.2025.3617890
4. Arctic Sea Ice Albedo Estimation from Fengyun-3C/Visible and Infra-Red Radiometer X. Sun & L. Guan 10.3390/rs16101719
5. Updated Arctic melt pond fraction dataset and trends 2002–2023 using ENVISAT and Sentinel-3 remote sensing data L. Istomina et al. 10.5194/tc-19-83-2025
6. Daily Arctic Sea-Ice Albedo Retrieval With a Multiband Reflectance Iteration Algorithm Q. Cheng et al. 10.1109/TGRS.2023.3323506
7. Generating a Long-Term Spatiotemporally Continuous Melt Pond Fraction Dataset for Arctic Sea Ice Using an Artificial Neural Network and a Statistical-Based Temporal Filter Z. Peng et al. 10.3390/rs14184538
8. Estimating Surface Albedo of Arctic Sea Ice Using an Ensemble Back-Propagation Neural Network: Toward a Better Consideration of Reflectance Anisotropy and Melt Ponds Y. Ding et al. 10.1109/TGRS.2022.3202046
9. Deep Neural Networks for Aerosol Optical Depth Retrieval R. Zbizika et al. 10.3390/atmos13010101
10. Influence of Melt Ponds on the SSMIS-Based Summer Sea Ice Concentrations in the Arctic J. Zhao et al. 10.3390/rs13193882