31 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.
2. Using Multisource Satellite Data to Assess Recent Snow-Cover Variability and Uncertainty in the Qinghai–Tibet Plateau Y. Jiang et al.
3. Snow climatology in Lithuania based on the cloud‐free moderate resolution imaging spectroradiometer snow cover product J. Kilpys et al.
4. Recent advances in the remote sensing of alpine snow: a review S. Awasthi & D. Varade
5. The Potential of Earth Observation for the Analysis of Cold Region Land Surface Dynamics in Europe—A Review Z. Hu et al.
6. 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.
7. An unseasonal atmospheric river drives anomalous summer snow accumulation on glaciers of the subtropical Andes C. Bravo et al.
8. Comparing MODIS snow products Collection 5 with Collection 6 over Italian Central Apennines P. Da Ronco et al.
9. A Compilation of Snow Cover Datasets for Svalbard: A Multi-Sensor, Multi-Model Study H. Vickers et al.
10. Developing a Cloud-Reduced MODIS Surface Reflectance Product for Snow Cover Mapping in Mountainous Regions A. Khoramian & A. Dariane
11. 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.
12. Assessing Snow Phenology and Its Environmental Driving Factors in Northeast China H. Guo et al.
13. Effect of Cloud Mask on the Consistency of Snow Cover Products from MODIS and VIIRS A. Liu et al.
14. Comparing COSMO-CLM simulations and MODIS data of snow cover extent and distribution over Italian Alps P. Da Ronco et al.
15. Weekly Monitoring and Forecasting of Hydropower Production Coupling Meteo-Hydrological Modeling with Ground and Satellite Data in the Italian Alps C. Corbari et al.
16. Investigating spatiotemporal snow cover variability via cloud-free MODIS snow cover product in Central Alborz Region A. Dariane et al.
17. Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on Machine Learning Techniques J. Hou et al.
18. Cloud–Snow Confusion with MODIS Snow Products in Boreal Forest Regions X. Wang et al.
19. Review of Snow Data Assimilation Methods for Hydrological, Land Surface, Meteorological and Climate Models: Results from a COST HarmoSnow Survey J. Helmert et al.
20. 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.
21. Estimating Regional Snow Line Elevation Using Public Webcam Images C. Portenier et al.
22. Development of a cloud-free MODIS NDSI dataset (2001–2020) over Northeast China H. Guo et al.
23. Spatial and Temporal Adaptive Gap-Filling Method Producing Daily Cloud-Free NDSI Time Series S. Chen et al.
24. Advances and prospects in reconstruction approaches for snow cover mapping using polar-orbiting satellites J. Zhang et al.
25. Reconstructing a Gap-Free MODIS Normalized Difference Snow Index Product Using a Long Short-Term Memory Network J. Hou et al.
26. Synthesizing long-term satellite imagery consistent with climate data: Application to daily snow cover F. Zakeri & G. Mariethoz
27. 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.
28. 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.
29. 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.
30. Revisiting a Simple Degree-Day Model for Integrating Satellite Data: Implementation of Swe-Sca Hystereses P. Riboust et al.
31. The recent developments in cloud removal approaches of MODIS snow cover product X. Li et al.