70 citations as recorded by crossref.

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5. Earlier snowmelt predominates advanced spring vegetation greenup in Alaska J. Zheng et al. https://doi.org/10.1016/j.agrformet.2022.108828
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7. Modelling Snowmelt Runoff from Tropical Andean Glaciers under Climate Change Scenarios in the Santa River Sub-Basin (Peru) E. Calizaya et al. https://doi.org/10.3390/w13243535
8. Development and validation of a new MODIS snow-cover-extent product over China X. Hao et al. https://doi.org/10.5194/hess-26-1937-2022
9. Modis Snowline Elevation Changes During Snowmelt Runoff Events in Europe J. Parajka et al. https://doi.org/10.2478/johh-2018-0011
10. Snow cover mapped daily at 30 meters resolution using a fusion of multi-temporal MODIS NDSI data and Landsat surface reflectance Z. Mityók et al. https://doi.org/10.1080/07038992.2018.1538775
11. HMRFS–TP: long-term daily gap-free snow cover products over the Tibetan Plateau from 2002 to 2021 based on hidden Markov random field model Y. Huang et al. https://doi.org/10.5194/essd-14-4445-2022
12. Application of time-lapse digital imagery for ground-truth verification of satellite indices in the boreal forests of Alaska K. Sugiura et al. https://doi.org/10.1016/j.polar.2013.02.003
13. Analysis of the Potential Impact of Climate Change on Climatic Droughts, Snow Dynamics, and the Correlation between Them J. Hidalgo-Hidalgo et al. https://doi.org/10.3390/w14071081
14. Snow Cover Variability and Trends over Karakoram, Western Himalaya and Kunlun Mountains During the MODIS Era (2001–2024) C. Almagioni et al. https://doi.org/10.3390/rs17050914
15. Snowmelt characteristics in a pristine mountain catchment of the Jalovecký Creek, Slovakia, over the last three decades L. Holko et al. https://doi.org/10.1002/hyp.14128
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17. Canopy structure and topography effects on snow distribution at a catchment scale: Application of multivariate approaches M. Jenicek et al. https://doi.org/10.1515/johh-2017-0027
18. Reducing hydrological modelling uncertainty by using MODIS snow cover data and a topography-based distribution function snowmelt model N. Di Marco et al. https://doi.org/10.1016/j.jhydrol.2021.126020
19. Schneedaten aus der Fernerkundung in der hydrologischen Modellierung – Anwendungsbeispiele in Österreich J. Komma et al. https://doi.org/10.1007/s00506-015-0272-5
20. Topography and climate in the upper Indus Basin: Mapping elevation-snow cover relationships T. Smith et al. https://doi.org/10.1016/j.scitotenv.2021.147363
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23. Regional influence of ocean–atmosphere teleconnections on the timing and duration of MODIS-derived snow cover in British Columbia, Canada A. Bevington et al. https://doi.org/10.5194/tc-13-2693-2019
24. Assessing robustness in global hydrological predictions by comparing modelling and Earth observations R. Pimentel et al. https://doi.org/10.1080/02626667.2023.2267544
25. A snow cover climatology for the Pyrenees from MODIS snow products S. Gascoin et al. https://doi.org/10.5194/hess-19-2337-2015
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. Improving the accuracy of MODIS 8-day snow products with in situ temperature and precipitation data C. Dong & L. Menzel https://doi.org/10.1016/j.jhydrol.2015.12.065
28. Mapping snow cover from daily Collection 6 MODIS products over Austria R. Tong et al. https://doi.org/10.1016/j.jhydrol.2020.125548
29. Sub-kilometer Precipitation Datasets for Snowpack and Glacier Modeling in Alpine Terrain V. Vionnet et al. https://doi.org/10.3389/feart.2019.00182
30. Correcting basin-scale snowfall in a mountainous basin using a distributed snowmelt model and remote-sensing data M. Shrestha et al. https://doi.org/10.5194/hess-18-747-2014
31. Improved Landsat-based snow cover mapping accuracy using a spatiotemporal NDSI and generalized linear mixed model C. Poussin et al. https://doi.org/10.1016/j.srs.2023.100078
32. Changes in the snow water equivalent in mountainous basins in Slovakia over recent decades K. Hlavčová et al. https://doi.org/10.5194/piahs-370-109-2015
33. Enhancing flood event predictions: Multi-objective calibration using gauge and satellite data S. Gegenleithner et al. https://doi.org/10.1016/j.jhydrol.2024.130879
34. Tracking Snow Variations in the Northern Hemisphere Using Multi-Source Remote Sensing Data (2000–2015) Y. Wang et al. https://doi.org/10.3390/rs10010136
35. Towards a gapless 1 km fractional snow cover via a data fusion framework X. Xiao et al. https://doi.org/10.1016/j.isprsjprs.2024.07.018
36. Extracting Snow Cover Time Series Data from Open Access Web Mapping Tile Services J. Kadlec et al. https://doi.org/10.1111/1752-1688.12387
37. 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
38. Snow-cover reconstruction methodology for mountainous regions based on historic in situ observations and recent remote sensing data A. Gafurov et al. https://doi.org/10.5194/tc-9-451-2015
39. Evaluation of snow extent time series derived from Advanced Very High Resolution Radiometer global area coverage data (1982–2018) in the Hindu Kush Himalayas X. Wu et al. https://doi.org/10.5194/tc-15-4261-2021
40. 2017-2018 Türkiye Kar Sezonu İçin MODIS Etkili Kar Örtüsü Ürününün Sentinel 2 Görüntüleriyle Doğrulaması U. TUTTU & S. KUTER https://doi.org/10.24011/barofd.694267
41. Estimating fractional snow cover from passive microwave brightness temperature data using MODIS snow cover product over North America X. Xiao et al. https://doi.org/10.5194/tc-15-835-2021
42. Snow model sensitivity analysis to understand spatial and temporal snow dynamics in a high‐elevation catchment M. Engel et al. https://doi.org/10.1002/hyp.11314
43. Parameter uncertainty analysis for an operational hydrological model using residual-based and limits of acceptability approaches A. Teweldebrhan et al. https://doi.org/10.5194/hess-22-5021-2018
44. Analysis of changes in hydrological cycle of a pristine mountain catchment. 1. Water balance components and snow cover L. Holko et al. https://doi.org/10.2478/johh-2020-0010
45. Patterns of Vegetation and Climatic Conditions Derived from Satellite Images Relevant for Sub-Antarctic Rangeland Management M. Villa et al. https://doi.org/10.1016/j.rama.2020.03.004
46. Monitoring Snow Cover in Typical Forested Areas Using a Multi-Spectral Feature Fusion Approach Y. Wang & J. Wang https://doi.org/10.3390/atmos15040513
47. Deriving Snow Cover Metrics for Alaska from MODIS C. Lindsay et al. https://doi.org/10.3390/rs71012961
48. Assessment of MODIS-Based Fractional Snow Cover Products Over the Tibetan Plateau S. Hao et al. https://doi.org/10.1109/JSTARS.2018.2879666
49. How does streamflow response vary with spatial scale? Analysis of controls in three nested Alpine catchments E. Guastini et al. https://doi.org/10.1016/j.jhydrol.2019.01.022
50. Producing cloud-free MODIS snow cover products with conditional probability interpolation and meteorological data C. Dong & L. Menzel https://doi.org/10.1016/j.rse.2016.09.019
51. Observations of Arctic snow and sea ice cover from CALIOP lidar measurements X. Lu et al. https://doi.org/10.1016/j.rse.2017.03.046
52. 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
53. Estimating the water budget components and their variability in a pre-alpine basin with JGrass-NewAGE W. Abera et al. https://doi.org/10.1016/j.advwatres.2017.03.010
54. TOPMELT 1.0: a topography-based distribution function approach to snowmelt simulation for hydrological modelling at basin scale M. Zaramella et al. https://doi.org/10.5194/gmd-12-5251-2019
55. Multi-Source Based Spatio-Temporal Distribution of Snow in a Semi-Arid Headwater Catchment of Northern Mongolia M. Munkhjargal et al. https://doi.org/10.3390/geosciences9010053
56. An Adaptive Snow Identification Algorithm in the Forests of Northeast China X. Wang et al. https://doi.org/10.1109/JSTARS.2020.3020168
57. From observation to the quantification of snow processes with a time-lapse camera network J. Garvelmann et al. https://doi.org/10.5194/hess-17-1415-2013
58. Characterizing Snow Dynamics in Semi-Arid Mountain Regions with Multitemporal Sentinel-1 Imagery: A Case Study in the Sierra Nevada, Spain P. Torralbo et al. https://doi.org/10.3390/rs15225365
59. Interannual Variability of Ephemeral Snow and Its Water Equivalent in a Mexican Mediterranean Mountain Region M. Espinosa-Blas et al. https://doi.org/10.3390/earth7020039
60. An Analysis of Regional Snow Assessments at Selected Hydrological Stations on the Danube and Tisza Rivers B. Hamar Zsideková et al. https://doi.org/10.2478/sjce-2013-0015
61. Generating Observation-Based Snow Depletion Curves for Use in Snow Cover Data Assimilation K. Arsenault & P. Houser https://doi.org/10.3390/geosciences8120484
62. Experimental measurements for improved understanding and simulation of snowmelt events in the Western Tatra Mountains P. Krajčí et al. https://doi.org/10.1515/johh-2016-0038
63. Overall negative trends for snow cover extent and duration in global mountain regions over 1982–2020 C. Notarnicola https://doi.org/10.1038/s41598-022-16743-w
64. Potential of Sentinel-3 snow cover fraction data for improving hydrological simulations at the regional scale M. Tanhapour et al. https://doi.org/10.1038/s41598-026-46403-2
65. Sub-regional snow cover distribution across the southern Appalachian Mountains J. Sugg et al. https://doi.org/10.1080/02723646.2016.1162020
66. Using Air Temperature to Quantitatively Predict the MODIS Fractional Snow Cover Retrieval Errors over the Continental United States J. Dong et al. https://doi.org/10.1175/JHM-D-13-060.1
67. Evaluation of MODIS and VIIRS cloud-gap-filled snow-cover products for production of an Earth science data record D. Hall et al. https://doi.org/10.5194/hess-23-5227-2019
68. Development of a new thermal snow index and its relationship with snow cover indices and snow cover characteristic indices R. Kour et al. https://doi.org/10.1007/s12517-015-2143-6
69. Comparison of MODIS and Model-Derived Snow-Covered Areas: Impact of Land Use and Solar Illumination Conditions N. Di Marco et al. https://doi.org/10.3390/geosciences10040134
70. Improving Fractional Snow Cover Retrieval From Passive Microwave Data Using a Radiative Transfer Model and Machine Learning Method X. Xiao et al. https://doi.org/10.1109/TGRS.2021.3128524