33 citations as recorded by crossref.

1. Monitoring snow cover variability (2000–2014) in the Hengduan Mountains based on cloud-removed MODIS products with an adaptive spatio-temporal weighted method X. Li et al. https://doi.org/10.1016/j.jhydrol.2017.05.049
2. Using Multisource Satellite Data to Assess Recent Snow-Cover Variability and Uncertainty in the Qinghai–Tibet Plateau Y. Jiang et al. https://doi.org/10.1175/JHM-D-18-0220.1
3. Snow climatology in Lithuania based on the cloud‐free moderate resolution imaging spectroradiometer snow cover product J. Kilpys et al. https://doi.org/10.1002/joc.6483
4. Cloud gap filling for continuous normalized difference snow index snow cover using the dynamic seasonally recurrent snow depletion pattern over a mountainous watershed C. Woodruff et al. https://doi.org/10.1016/j.rsase.2026.102062
5. Recent advances in the remote sensing of alpine snow: a review S. Awasthi & D. Varade https://doi.org/10.1080/15481603.2021.1946938
6. The Potential of Earth Observation for the Analysis of Cold Region Land Surface Dynamics in Europe—A Review Z. Hu et al. https://doi.org/10.3390/rs9101067
7. Daily MODIS Snow Cover Maps for the European Alps from 2002 onwards at 250 m Horizontal Resolution Along with a Nearly Cloud-Free Version M. Matiu et al. https://doi.org/10.3390/data5010001
8. An unseasonal atmospheric river drives anomalous summer snow accumulation on glaciers of the subtropical Andes C. Bravo et al. https://doi.org/10.5194/tc-19-1897-2025
9. Comparing MODIS snow products Collection 5 with Collection 6 over Italian Central Apennines P. Da Ronco et al. https://doi.org/10.1080/01431161.2020.1714778
10. Elevation-dependent coupling between land surface temperature and snow cover in the Alpine conifer and mixed forests ecoregion: A multi-scale trend and cross-wavelet analysis E. Ghaderpour et al. https://doi.org/10.1016/j.ecoinf.2026.103997
11. A Compilation of Snow Cover Datasets for Svalbard: A Multi-Sensor, Multi-Model Study H. Vickers et al. https://doi.org/10.3390/rs13102002
12. Developing a Cloud-Reduced MODIS Surface Reflectance Product for Snow Cover Mapping in Mountainous Regions A. Khoramian & A. Dariane https://doi.org/10.3390/geosciences7020029
13. Large-area high spatial resolution albedo retrievals from remote sensing for use in assessing the impact of wildfire soot deposition on high mountain snow and ice melt A. Bertoncini et al. https://doi.org/10.1016/j.rse.2022.113101
14. Assessing Snow Phenology and Its Environmental Driving Factors in Northeast China H. Guo et al. https://doi.org/10.3390/rs14020262
15. Effect of Cloud Mask on the Consistency of Snow Cover Products from MODIS and VIIRS A. Liu et al. https://doi.org/10.3390/rs14236134
16. Comparing COSMO-CLM simulations and MODIS data of snow cover extent and distribution over Italian Alps P. Da Ronco et al. https://doi.org/10.1007/s00382-016-3054-2
17. Weekly Monitoring and Forecasting of Hydropower Production Coupling Meteo-Hydrological Modeling with Ground and Satellite Data in the Italian Alps C. Corbari et al. https://doi.org/10.3390/hydrology9020029
18. Investigating spatiotemporal snow cover variability via cloud-free MODIS snow cover product in Central Alborz Region A. Dariane et al. https://doi.org/10.1016/j.rse.2017.05.042
19. Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on Machine Learning Techniques J. Hou et al. https://doi.org/10.3390/rs11010090
20. Cloud–Snow Confusion with MODIS Snow Products in Boreal Forest Regions X. Wang et al. https://doi.org/10.3390/rs14061372
21. Review of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Survey J. Helmert et al. https://doi.org/10.3390/geosciences8120489
22. The Application of SWAT Model and Remotely Sensed Products to Characterize the Dynamic of Streamflow and Snow in a Mountainous Watershed in the High Atlas S. Taia et al. https://doi.org/10.3390/s23031246
23. Estimating Regional Snow Line Elevation Using Public Webcam Images C. Portenier et al. https://doi.org/10.3390/rs14194730
24. Development of a cloud-free MODIS NDSI dataset (2001–2020) over Northeast China H. Guo et al. https://doi.org/10.1080/17538947.2024.2398062
25. Spatial and Temporal Adaptive Gap-Filling Method Producing Daily Cloud-Free NDSI Time Series S. Chen et al. https://doi.org/10.1109/JSTARS.2020.2993037
26. Advances and prospects in reconstruction approaches for snow cover mapping using polar-orbiting satellites J. Zhang et al. https://doi.org/10.3389/feart.2025.1649808
27. Reconstructing a Gap-Free MODIS Normalized Difference Snow Index Product Using a Long Short-Term Memory Network J. Hou et al. https://doi.org/10.1109/TGRS.2022.3178421
28. Synthesizing long-term satellite imagery consistent with climate data: Application to daily snow cover F. Zakeri & G. Mariethoz https://doi.org/10.1016/j.rse.2023.113877
29. Investigating spatial-temporal trend of snow cover over the three provinces of Northeast China based on a cloud-free MODIS snow cover product Z. Gao et al. https://doi.org/10.1016/j.jhydrol.2024.132044
30. Comparison of the NASA Standard MODerate-Resolution Imaging Spectroradiometer and Visible Infrared Imaging Radiometer Suite Snow-Cover Products for Creation of a Climate Data Record: A Case Study in the Great Basin of the Western United States D. Hall et al. https://doi.org/10.3390/rs16163029
31. A Novel Approach Based on a Hierarchical Multiresolution Analysis of Optical Time Series to Reconstruct the Daily High-Resolution Snow Cover Area V. Premier et al. https://doi.org/10.1109/JSTARS.2021.3103585
32. Revisiting a Simple Degree-Day Model for Integrating Satellite Data: Implementation of Swe-Sca Hystereses P. Riboust et al. https://doi.org/10.2478/johh-2018-0004
33. The recent developments in cloud removal approaches of MODIS snow cover product X. Li et al. https://doi.org/10.5194/hess-23-2401-2019