183 citations as recorded by crossref.

1. An analysis of snow cover changes in the Himalayan region using MODIS snow products and in-situ temperature data S. Maskey et al. https://doi.org/10.1007/s10584-011-0181-y
2. Schneedaten aus der Fernerkundung in der hydrologischen Modellierung – Anwendungsbeispiele in Österreich J. Komma et al. https://doi.org/10.1007/s00506-015-0272-5
3. Evaluation of cloudiness over Monte San Valentín, Northern Patagonia Icefield, from 2000 to 2008 using MODIS satellite images: implications for paleoclimate investigations from ice cores F. Vimeux et al. https://doi.org/10.3189/002214311796405915
4. Assimilation of MODIS Snow Cover Area Data in a Distributed Hydrological Model Using the Particle Filter G. Thirel et al. https://doi.org/10.3390/rs5115825
5. Monitoring ice variations in Qinghai Lake from 1979 to 2016 using passive microwave remote sensing data Y. Cai et al. https://doi.org/10.1016/j.scitotenv.2017.07.027
6. 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
7. 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
8. Estimating Regional Snow Line Elevation Using Public Webcam Images C. Portenier et al. https://doi.org/10.3390/rs14194730
9. Scalable Water Balances from Earth Observations (SWEO): results from 50 years of remote sensing in hydrology T. Hessels et al. https://doi.org/10.1080/02508060.2022.2117896
10. 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
11. Validation of Regional-Scale Remote Sensing Products in China: From Site to Network S. Wang et al. https://doi.org/10.3390/rs8120980
12. Quantification of spatial temporal variability of snow cover and hydro-climatic variables based on multi-source remote sensing data in the Swat watershed, Hindukush Mountains, Pakistan M. Anjum et al. https://doi.org/10.1007/s00703-018-0584-7
13. Deciphering Snow-cover Dynamics: Terrain Analysis in the Mountainous River Basin, Western Himalayas C. Kant et al. https://doi.org/10.1007/s41101-024-00300-9
14. Modelling snow accumulation and snow melt in a continuous hydrological model for real-time flood forecasting P. Stanzel et al. https://doi.org/10.1088/1755-1307/4/1/012016
15. Evaluating the Uncertainty in Coherence-Change-Detection-Based Maps of Torrential Sediment Transport in Arid Environments J. Botey i Bassols et al. https://doi.org/10.3390/rs15204964
16. Spatial and Temporal Variations of Snow Cover in the Karoon River Basin, Iran, 2003–2015 M. Keikhosravi Kiany et al. https://doi.org/10.3390/w9120965
17. On the Importance of High-Resolution Time Series of Optical Imagery for Quantifying the Effects of Snow Cover Duration on Alpine Plant Habitat J. Dedieu et al. https://doi.org/10.3390/rs8060481
18. Interrelationships between MODIS/Terra remotely sensed snow cover and the hydrometeorology of the Quesnel River Basin, British Columbia, Canada J. Tong et al. https://doi.org/10.5194/hess-13-1439-2009
19. Real-Time Alpine Measurement System Using Wireless Sensor Networks S. Malek et al. https://doi.org/10.3390/s17112583
20. Evaluating MODIS cloud-free snow cover datasets using massive spatial benchmark data in the Tibetan Plateau Y. Gao et al. https://doi.org/10.1016/j.scitotenv.2024.175245
21. Snow Extent Variability in Lesotho Derived from MODIS Data (2000–2014) S. Wunderle et al. https://doi.org/10.3390/rs8060448
22. Modeling snowmelt-driven streamflow dynamics in a Himalayan Basin under climate warming scenarios R. Jamshed et al. https://doi.org/10.1371/journal.pclm.0000739
23. 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
24. Retrieval of Snow Water Equivalent, Liquid Water Content, and Snow Height of Dry and Wet Snow by Combining GPS Signal Attenuation and Time Delay F. Koch et al. https://doi.org/10.1029/2018WR024431
25. 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
26. What do we know about past changes in the water cycle of Central Asian headwaters? A review K. Unger-Shayesteh et al. https://doi.org/10.1016/j.gloplacha.2013.02.004
27. Hydrological digital twin model of a large anthropized italian alpine catchment: The Adige river basin M. Morlot et al. https://doi.org/10.1016/j.jhydrol.2023.130587
28. Slovenian experience in applicability of remote sensing data in hydrology A. Horvat et al. https://doi.org/10.1088/1755-1307/4/1/012024
29. Contribution of the satellite-data driven snow routine to a karst hydrological model S. Çallı et al. https://doi.org/10.1016/j.jhydrol.2022.127511
30. On the Relationship Between Temperature and MODIS Snow Cover Retrieval Errors in the Western U.S. J. Dong & C. Peters-Lidard https://doi.org/10.1109/JSTARS.2009.2039698
31. Modelling Fagus sylvatica stem growth along a wide thermal gradient in Italy by incorporating dendroclimatic classification and land surface phenology metrics L. Di Fiore et al. https://doi.org/10.1007/s00484-022-02367-2
32. Integrating glaciers raster-based modelling in large catchments hydrological balance: the Rhone case study L. Boscarello et al. https://doi.org/10.1002/hyp.9588
33. Using satellite imagery to validate snow distribution simulated by a hydrological model in large northern basins L. Brown et al. https://doi.org/10.1002/hyp.6999
34. Intensive precipitation observation greatly improves hydrological modelling of the poorly gauged high mountain Mabengnong catchment in the Tibetan Plateau L. Wang et al. https://doi.org/10.1016/j.jhydrol.2017.11.039
35. Snow Cover Mapping From Chinese Geostationary Meteorological Satellite FY-2F VISSR-II Data Using Random Forest Classifier H. Hu et al. https://doi.org/10.1109/JSTARS.2025.3626728
36. Snow cover area change and its relations with climatic variability in Kashmir Himalayas, India M. Shafiq et al. https://doi.org/10.1080/10106049.2018.1469675
37. Estimation of regional snowline elevation (RSLE) from MODIS images for seasonally snow covered mountain basins P. Krajčí et al. https://doi.org/10.1016/j.jhydrol.2014.08.064
38. Mapping and verification of the snow cover timing in the Baikal region by remote sensing data MODIS “snow cover” Е. Rasputina & A. Korepova https://doi.org/10.22389/0016-7126-2021-973-7-21-31
39. Uncertainty in satellite remote sensing of snow fraction for water resources management I. Appel https://doi.org/10.1007/s11707-018-0720-1
40. Changing aerosol loadings over Central Himalayan region (2007–2016) – A satellite perspective M. Mehta et al. https://doi.org/10.1016/j.atmosenv.2019.03.024
41. 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
42. Intra- and inter-annual variations in snow–water storage in data sparse desert–mountain regions assessed from remote sensing M. Matin & C. Bourque https://doi.org/10.1016/j.rse.2013.07.033
43. Validation of the operational MSG-SEVIRI snow cover product over Austria S. Surer et al. https://doi.org/10.5194/hess-18-763-2014
44. 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
45. Sensitivity of snowmelt runoff modelling to the level of cloud coverage for snow cover extent from daily MODIS product collection 6 W. Hussainzada et al. https://doi.org/10.1016/j.ejrh.2021.100835
46. Investigation of the snow‐cover dynamics in the Upper Euphrates Basin of Turkey using remotely sensed snow‐cover products and hydrometeorological data Z. Akyurek et al. https://doi.org/10.1002/hyp.8090
47. Variability of snow line elevation, snow cover area and depletion in the main Slovak basins in winters 2001–2014 P. Krajčí et al. https://doi.org/10.1515/johh-2016-0011
48. Spatiotemporal changes in snow cover and their relationship with drought events in the Lake Urmia basin H. Safari et al. https://doi.org/10.1080/02626667.2023.2276737
49. Mapping snow cover frequency at 30 m for studying seasonal variations and topographic controls on the Tibetan Plateau G. Wang et al. https://doi.org/10.1016/j.jhydrol.2025.133303
50. Snow distribution from SSM/I and its relationships to the hydroclimatology of the Mackenzie River Basin, Canada J. Tong et al. https://doi.org/10.1016/j.advwatres.2010.03.009
51. Global SnowPack: a new set of snow cover parameters for studying status and dynamics of the planetary snow cover extent A. Dietz et al. https://doi.org/10.1080/2150704X.2015.1084551
52. Missing (in-situ) snow cover data hampers climate change and runoff studies in the Greater Himalayas M. Rohrer et al. https://doi.org/10.1016/j.scitotenv.2013.09.056
53. Melted snow volume control in the snowmelt runoff model using a snow water equivalent statistically based model D. Bavera et al. https://doi.org/10.1002/hyp.8376
54. Assessing the quality of a real-time Snow Cover Area product for hydrological applications G. Thirel et al. https://doi.org/10.1016/j.rse.2012.09.006
55. Gap-Filling of a MODIS Normalized Difference Snow Index Product Based on the Similar Pixel Selecting Algorithm: A Case Study on the Qinghai–Tibetan Plateau M. Li et al. https://doi.org/10.3390/rs12071077
56. 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
57. A seasonal algorithm of the snow-covered area fraction for mountainous terrain N. Helbig et al. https://doi.org/10.5194/tc-15-4607-2021
58. Development and Evaluation of a Cloud-Gap-Filled MODIS Normalized Difference Snow Index Product over High Mountain Asia G. Deng et al. https://doi.org/10.3390/rs16010192
59. Validation of and comparison between a semidistributed rainfall–runoff hydrological model (PREVAH) and a spatially distributed snow‐evolution model (SnowModel) for snow cover prediction in mountain ecosystems C. Randin et al. https://doi.org/10.1002/eco.1570
60. Impact of model structure on flow simulation and hydrological realism: from a lumped to a semi-distributed approach F. Garavaglia et al. https://doi.org/10.5194/hess-21-3937-2017
61. Snow cover depletion under changed climate with the help of remote sensing and temperature data S. Jain et al. https://doi.org/10.1007/s11069-010-9696-1
62. Snow Cover Distribution in the Aksu Catchment (Central Tien Shan) 1986–2013 Based on AVHRR and MODIS Data J. Peters et al. https://doi.org/10.1109/JSTARS.2015.2477108
63. 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
64. Numerical simulation of the falling snow deposition over complex terrain Z. Wang & N. Huang https://doi.org/10.1002/2016JD025316
65. Variations in the Ice Phenology and Water Level of Ayakekumu Lake, Tibetan Plateau, Derived from MODIS and Satellite Altimetry Data J. Chen et al. https://doi.org/10.1007/s12524-018-0824-9
66. A Model Setup for Mapping Snow Conditions in High-Mountain Himalaya T. Saloranta et al. https://doi.org/10.3389/feart.2019.00129
67. Using crowdsourced web content for informing water systems operations in snow-dominated catchments M. Giuliani et al. https://doi.org/10.5194/hess-20-5049-2016
68. A machine learning-based accuracy enhancement on EUMETSAT H-SAF H35 effective snow-covered area product S. Kuter et al. https://doi.org/10.1016/j.rse.2022.112947
69. Evaluation of the MODIS snow cover fraction product K. Arsenault et al. https://doi.org/10.1002/hyp.9636
70. Comprehensive accuracy assessment of MODIS daily snow cover products and gap filling methods J. Coll & X. Li https://doi.org/10.1016/j.isprsjprs.2018.08.004
71. On the Interest of Optical Remote Sensing for Seasonal Snowmelt Parameterization, Applied to the Everest Region (Nepal) B. Bouchard et al. https://doi.org/10.3390/rs11222598
72. Snow Cover Variations and Controlling Factors at Upper Heihe River Basin, Northwestern China Y. Bi et al. https://doi.org/10.3390/rs70606741
73. Recent snow cover changes over central European low mountain ranges C. Dong & L. Menzel https://doi.org/10.1002/hyp.13586
74. Bias adjustment and downscaling of snow cover fraction projections from regional climate models using remote sensing for the European Alps M. Matiu & F. Hanzer https://doi.org/10.5194/hess-26-3037-2022
75. SAR Coherence in Detecting Fluvial Sediment Transport Events in Arid Environments J. Botey i Bassols et al. https://doi.org/10.3390/rs15123034
76. MODSNOW-Tool: an operational tool for daily snow cover monitoring using MODIS data A. Gafurov et al. https://doi.org/10.1007/s12665-016-5869-x
77. Snow Cover Maps from MODIS Images at 250 m Resolution, Part 2: Validation C. Notarnicola et al. https://doi.org/10.3390/rs5041568
78. A snow cover climatology for the Pyrenees from MODIS snow products S. Gascoin et al. https://doi.org/10.5194/hess-19-2337-2015
79. Reducing cloud obscuration of MODIS snow cover area products by combining spatio-temporal techniques with a probability of snow approach V. López-Burgos et al. https://doi.org/10.5194/hess-17-1809-2013
80. 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
81. Cloud obstruction and snow cover in Alpine areas from MODIS products P. Da Ronco & C. De Michele https://doi.org/10.5194/hess-18-4579-2014
82. Accuracy assessment and trend analysis of MODIS-derived data on snow-covered areas in the Sutlej basin, Western Himalayas R. Mir et al. https://doi.org/10.1080/01431161.2015.1070320
83. 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
84. Comparison of Snow Cover from Satellite and Numerical Weather Prediction Models in the Northern Hemisphere and Northern Europe O. Hyvärinen et al. https://doi.org/10.1175/2008JAMC2069.1
85. Spatiotemporal Reconstruction of MODIS Normalized Difference Snow Index Products Using U-Net with Partial Convolutions D. Xing et al. https://doi.org/10.3390/rs14081795
86. A cloud-free MODIS snow cover dataset for the contiguous United States from 2000 to 2017 H. Tran et al. https://doi.org/10.1038/sdata.2018.300
87. Inter-annual variations of snow days over Switzerland from 2000–2010 derived from MODIS satellite data N. Foppa & G. Seiz https://doi.org/10.5194/tc-6-331-2012
88. Hydrological modelling in the anthroposphere: predicting local runoff in a heavily modified high-alpine catchment J. Wesemann et al. https://doi.org/10.1007/s11629-017-4587-5
89. Shifting mountain snow patterns in a changing climate from remote sensing retrieval J. Dedieu et al. https://doi.org/10.1016/j.scitotenv.2014.04.078
90. An enhanced python framework for hydrological modeling in alpine catchments: Snow hysteresis and glacier ice melt M. Masten et al. https://doi.org/10.1016/j.envsoft.2025.106842
91. The relevance of glacier melt in the water cycle of the Alps: the example of Austria G. Koboltschnig & W. Schöner https://doi.org/10.5194/hess-15-2039-2011
92. Comparison of Three Different Random Forest Approaches to Retrieve Daily High-Resolution Snow Cover Maps from MODIS and Sentinel-2 in a Mountain Area, Gran Paradiso National Park (NW Alps) C. Richiardi et al. https://doi.org/10.3390/rs15020343
93. Snow Cover Estimation Underneath the Clouds Based on Multitemporal Correlation Analysis in Historical Time-Series Imagery M. Niroumand-Jadidi et al. https://doi.org/10.1109/TGRS.2020.2969026
94. Detection of wet snow in the Arctic tundra from time-series fully-polarimetric RADARSAT-2 images Y. Antropova et al. https://doi.org/10.1016/j.rse.2022.113305
95. MODIS snow cover mapping accuracy in a small mountain catchment – comparison between open and forest sites J. Parajka et al. https://doi.org/10.5194/hess-16-2365-2012
96. A long-term daily 500 m snow cover extent product over China (1981–2000) Y. Shen et al. https://doi.org/10.1080/20964471.2026.2648197
97. Validation of a modified snow cover retrieval algorithm from historical 1-km AVHRR data over the European Alps F. Hüsler et al. https://doi.org/10.1016/j.rse.2012.02.018
98. Simulation of Past Changes in the Austrian Snow Cover 1948–2009 T. Marke et al. https://doi.org/10.1175/JHM-D-17-0245.1
99. Accuracy Assessment of MODIS Fractional Snow Cover Product for Eastern Himalayan Catchment P. Mishra et al. https://doi.org/10.1007/s12524-016-0548-7
100. A comparison between two statistical and a physically-based model in snow water equivalent mapping D. Bavera et al. https://doi.org/10.1016/j.advwatres.2013.11.011
101. Assessment of daily MODIS snow cover products to monitor snow cover dynamics over the Moroccan Atlas mountain range A. Marchane et al. https://doi.org/10.1016/j.rse.2015.01.002
102. Icelandic snow cover characteristics derived from a gap-filled MODIS daily snow cover product A. Gunnarsson et al. https://doi.org/10.5194/hess-23-3021-2019
103. Analysis of climatic variability and snow cover in the Kaligandaki River Basin, Himalaya, Nepal B. Mishra et al. https://doi.org/10.1007/s00704-013-0966-1
104. Spatio‐temporal combination of MODIS images – potential for snow cover mapping J. Parajka & G. Blöschl https://doi.org/10.1029/2007WR006204
105. Spatiotemporal Variation of Snow Cover in Tianshan Mountains, Central Asia, Based on Cloud-Free MODIS Fractional Snow Cover Product, 2001–2015 Z. Tang et al. https://doi.org/10.3390/rs9101045
106. Processing of VENµS Images of High Mountains: A Case Study for Cryospheric and Hydro-Climatic Applications in the Everest Region (Nepal) Z. Bessin et al. https://doi.org/10.3390/rs14051098
107. Elevation-Dependent Trends in Himalayan Snow Cover (2004–2024) Based on MODIS Terra Observations G. Tauqir et al. https://doi.org/10.3390/rs17183175
108. European Snow Cover Characteristics between 2000 and 2011 Derived from Improved MODIS Daily Snow Cover Products A. Dietz et al. https://doi.org/10.3390/rs4082432
109. A regional snow-line method for estimating snow cover from MODIS during cloud cover J. Parajka et al. https://doi.org/10.1016/j.jhydrol.2009.11.042
110. Climatic and geologic controls on suspended sediment flux in the Sutlej River Valley, western Himalaya H. Wulf et al. https://doi.org/10.5194/hess-16-2193-2012
111. 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
112. Fractional snow-covered area: scale-independent peak of winter parameterization N. Helbig et al. https://doi.org/10.5194/tc-15-615-2021
113. Identifying Changing Snow Cover Characteristics in Central Asia between 1986 and 2014 from Remote Sensing Data A. Dietz et al. https://doi.org/10.3390/rs61212752
114. Overview of NASA's MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS) snow-cover Earth System Data Records G. Riggs et al. https://doi.org/10.5194/essd-9-765-2017
115. Reconstruction of Snow Depth Data at Moderate Spatial Resolution (1 km) from Remotely Sensed Snow Data and Multiple Optimized Environmental Factors: A Case Study over the Qinghai-Tibetan Plateau P. Wei et al. https://doi.org/10.3390/rs13040657
116. Soil moisture updating by Ensemble Kalman Filtering in real-time flood forecasting J. Komma et al. https://doi.org/10.1016/j.jhydrol.2008.05.020
117. Scale dependency in modeling nivo-glacial hydrological systems: the case of the Arolla basin, Switzerland A. Argentin et al. https://doi.org/10.5194/hess-29-1725-2025
118. Recent advances in remote sensing of seasonal snow A. Nolin https://doi.org/10.3189/002214311796406077
119. The Variability of Snow Cover and Its Contribution to Water Resources in the Chinese Altai Mountains from 2000 to 2022 F. Yu et al. https://doi.org/10.3390/rs15245765
120. The value of glacier mass balance, satellite snow cover images, and hourly discharge for improving the performance of a physically based distributed hydrological model D. Finger et al. https://doi.org/10.1029/2010WR009824
121. Using a fixed-wing UAS to map snow depth distribution: an evaluation at peak accumulation C. De Michele et al. https://doi.org/10.5194/tc-10-511-2016
122. Predicting Surface Runoff from Catchment to Large Region H. Li et al. https://doi.org/10.1155/2015/720967
123. 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
124. Assessing the snow cover dynamics and its relationship with different hydro-climatic characteristics in Upper Ganges river basin and its sub-basins S. Thapa et al. https://doi.org/10.1016/j.scitotenv.2021.148648
125. Effects of climate change on vegetation and snow cover area in Gilgit Baltistan using MODIS data Z. Satti et al. https://doi.org/10.1007/s11356-022-23445-3
126. Snow Cover Detection Using Multi-Temporal Remotely Sensed Images of Fengyun-4A in Qinghai-Tibetan Plateau G. Ma et al. https://doi.org/10.3390/w15193329
127. 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
128. Modis Snowline Elevation Changes During Snowmelt Runoff Events in Europe J. Parajka et al. https://doi.org/10.2478/johh-2018-0011
129. Applying object-based segmentation in the temporal domain to characterise snow seasonality J. Thompson & B. Lees https://doi.org/10.1016/j.isprsjprs.2014.08.010
130. Monitoring and assessment of glaciers and glacial lakes: climate change impact on the Mago Chu Basin, Eastern Himalayas S. Borah et al. https://doi.org/10.1007/s10113-022-01984-2
131. Semi-empirical modeling of the scene reflectance of snow-covered boreal forest: Validation with airborne spectrometer and LIDAR observations J. Pulliainen et al. https://doi.org/10.1016/j.rse.2014.09.004
132. A new snow cover mapping algorithm for Chinese geostationary meteorological satellite FY-4A AGRI data L. He et al. https://doi.org/10.1080/17538947.2024.2367086
133. 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
134. Exploring the Links Between Variations in Snow Cover Area and Climatic Variables Across the Upper Indus Basin Under a Changing Climate H. Muzammal et al. https://doi.org/10.1002/joc.70195
135. Assessing the impact of Earth Observation data-driven calibration of the melting coefficient on the LISFLOOD snow module V. Premier et al. https://doi.org/10.5194/hess-30-1189-2026
136. Accuracy assessment of MODIS/Terra snow cover product for parts of Indian Himalayas H. Chelamallu et al. https://doi.org/10.1080/10106049.2013.819041
137. Challenges and Uncertainties in Hydrological Modeling of Remote Hindu Kush–Karakoram–Himalayan (HKH) Basins: Suggestions for Calibration Strategies F. Pellicciotti et al. https://doi.org/10.1659/MRD-JOURNAL-D-11-00092.1
138. Use of satellite snow-cover data for streamflow prediction in the Feather River Basin, California Q. Tang & D. Lettenmaier https://doi.org/10.1080/01431161.2010.483493
139. A New Retrieval Algorithm of Fractional Snow over the Tibetan Plateau Derived from AVH09C1 H. Yin et al. https://doi.org/10.3390/rs16132260
140. Daily estimates of Landsat fractional snow cover driven by MODIS and dynamic time-warping E. Berman et al. https://doi.org/10.1016/j.rse.2018.07.029
141. Behind the scenes of streamflow model performance L. Bouaziz et al. https://doi.org/10.5194/hess-25-1069-2021
142. Hourly snowmelt estimations improved performance on daily karst spring discharge predictions: A case study in the Austrian Alps S. Çallı https://doi.org/10.1007/s10040-026-03090-7
143. Anticipating Future Hydrological Changes in the Northern River Basins of Pakistan: Insights from the Snowmelt Runoff Model and an Improved Snow Cover Data U. Khan et al. https://doi.org/10.3390/w17142104
144. A Response of Snow Cover to the Climate in the Northwest Himalaya (NWH) Using Satellite Products A. Choudhury et al. https://doi.org/10.3390/rs13040655
145. Cloud removal methodology from MODIS snow cover product A. Gafurov & A. Bárdossy https://doi.org/10.5194/hess-13-1361-2009
146. Harnessing Deep Learning and Snow Cover Data for Enhanced Runoff Prediction in Snow-Dominated Watersheds R. Adnan et al. https://doi.org/10.3390/atmos15121407
147. 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
148. Snow-cover variability in central Asia between 2000 and 2011 derived from improved MODIS daily snow-cover products A. Dietz et al. https://doi.org/10.1080/01431161.2013.767480
149. 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
150. The value of ASCAT soil moisture and MODIS snow cover data for calibrating a conceptual hydrologic model R. Tong et al. https://doi.org/10.5194/hess-25-1389-2021
151. 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
152. The value of MODIS snow cover data in validating and calibrating conceptual hydrologic models J. Parajka & G. Blöschl https://doi.org/10.1016/j.jhydrol.2008.06.006
153. Evaluating the utility of the EUMETSAT HSAF snow recognition product over mountainous areas of eastern Turkey S. Surer & Z. Akyurek https://doi.org/10.1080/02626667.2012.729132
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