185 citations as recorded by crossref.

1. 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
2. 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
3. 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
4. Validation of Regional-Scale Remote Sensing Products in China: From Site to Network S. Wang et al. https://doi.org/10.3390/rs8120980
5. 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
6. 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
7. 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
8. 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
9. 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
10. 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
11. European snow cover in the EURO-CORDEX regional climate model ensemble: model evaluation C. Steger et al. https://doi.org/10.1007/s00382-026-08343-5
12. 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
13. 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
14. 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
15. Validation of the operational MSG-SEVIRI snow cover product over Austria S. Surer et al. https://doi.org/10.5194/hess-18-763-2014
16. 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
17. 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
18. 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
19. 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
20. 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
21. 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
22. 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
23. 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
24. 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
25. 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
26. 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
27. 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
28. 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
29. SnowMapPy: An automated GEE Python tool for snow cover mapping and monitoring in the Moroccan Atlas Mountains H. Elyoussfi et al. https://doi.org/10.1016/j.softx.2026.103006
30. 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
31. 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
32. Snow Cover Variations and Controlling Factors at Upper Heihe River Basin, Northwestern China Y. Bi et al. https://doi.org/10.3390/rs70606741
33. Recent snow cover changes over central European low mountain ranges C. Dong & L. Menzel https://doi.org/10.1002/hyp.13586
34. 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
35. SAR Coherence in Detecting Fluvial Sediment Transport Events in Arid Environments J. Botey i Bassols et al. https://doi.org/10.3390/rs15123034
36. 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
37. 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
38. 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
39. 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
40. 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
41. 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
42. 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
43. 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
44. 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
45. 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
46. 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
47. 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
48. 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
49. 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
50. 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
51. Elevation-Dependent Trends in Himalayan Snow Cover (2004–2024) Based on MODIS Terra Observations G. Tauqir et al. https://doi.org/10.3390/rs17183175
52. 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
53. 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
54. 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
55. Fractional snow-covered area: scale-independent peak of winter parameterization N. Helbig et al. https://doi.org/10.5194/tc-15-615-2021
56. 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
57. 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
58. 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
59. 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
60. Recent advances in remote sensing of seasonal snow A. Nolin https://doi.org/10.3189/002214311796406077
61. 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
62. 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
63. Predicting Surface Runoff from Catchment to Large Region H. Li et al. https://doi.org/10.1155/2015/720967
64. 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
65. 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
66. 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
67. Modis Snowline Elevation Changes During Snowmelt Runoff Events in Europe J. Parajka et al. https://doi.org/10.2478/johh-2018-0011
68. 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
69. 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
70. 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
71. 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
72. 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
73. 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
74. Behind the scenes of streamflow model performance L. Bouaziz et al. https://doi.org/10.5194/hess-25-1069-2021
75. 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
76. 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
77. 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
78. 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
79. 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
80. 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
81. 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
82. Remote sensing of snow – a review of available methods A. Dietz et al. https://doi.org/10.1080/01431161.2011.640964
83. Spatial Downscaling of MODIS Snow Cover Observations Using Sentinel-2 Snow Products J. Revuelto et al. https://doi.org/10.3390/rs13224513
84. Skill of remote sensing snow products for distributed runoff prediction T. Berezowski et al. https://doi.org/10.1016/j.jhydrol.2015.03.025
85. A satellite-based snow cover climatology (1985–2011) for the European Alps derived from AVHRR data F. Hüsler et al. https://doi.org/10.5194/tc-8-73-2014
86. Snow hydrology in the Moroccan Atlas Mountains L. Hanich et al. https://doi.org/10.1016/j.ejrh.2022.101101
87. Uncertainty in seasonal snow reconstruction: Relative impacts of model forcing and image availability A. Slater et al. https://doi.org/10.1016/j.advwatres.2012.07.006
88. Characteristics of Rainfall, Snowmelt and Runoff in the Headwater Region of the Main River Watershed in Germany J. Sui et al. https://doi.org/10.1007/s11269-009-9545-8
89. Satellite and Ground Observations of Snow Cover in Tibet during 2001–2015 D. Basang et al. https://doi.org/10.3390/rs9111201
90. A random forest approach to quality-checking automatic snow-depth sensor measurements G. Blandini et al. https://doi.org/10.5194/tc-17-5317-2023
91. Exploring the links between variations in snow cover area and climatic variables in a Himalayan catchment using earth observations and CMIP6 climate change scenarios D. Singh et al. https://doi.org/10.1016/j.jhydrol.2022.127648
92. 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
93. Schneedaten aus der Fernerkundung in der hydrologischen Modellierung – Anwendungsbeispiele in Österreich J. Komma et al. https://doi.org/10.1007/s00506-015-0272-5
94. 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
95. 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
96. Estimating Regional Snow Line Elevation Using Public Webcam Images C. Portenier et al. https://doi.org/10.3390/rs14194730
97. 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
98. 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
99. 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
100. 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
101. 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
102. 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
103. 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
104. Real-Time Alpine Measurement System Using Wireless Sensor Networks S. Malek et al. https://doi.org/10.3390/s17112583
105. 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
106. Snow Extent Variability in Lesotho Derived from MODIS Data (2000–2014) S. Wunderle et al. https://doi.org/10.3390/rs8060448
107. 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
108. 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
109. 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
110. 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
111. Slovenian experience in applicability of remote sensing data in hydrology A. Horvat et al. https://doi.org/10.1088/1755-1307/4/1/012024
112. 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
113. 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
114. 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
115. 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
116. 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
117. 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
118. 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
119. Uncertainty in satellite remote sensing of snow fraction for water resources management I. Appel https://doi.org/10.1007/s11707-018-0720-1
120. 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
121. 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
122. 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
123. 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
124. 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
125. 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
126. 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
127. 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
128. 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
129. Numerical simulation of the falling snow deposition over complex terrain Z. Wang & N. Huang https://doi.org/10.1002/2016JD025316
130. A Model Setup for Mapping Snow Conditions in High-Mountain Himalaya T. Saloranta et al. https://doi.org/10.3389/feart.2019.00129
131. 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
132. 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
133. Evaluation of the MODIS snow cover fraction product K. Arsenault et al. https://doi.org/10.1002/hyp.9636
134. Snow Cover Maps from MODIS Images at 250 m Resolution, Part 2: Validation C. Notarnicola et al. https://doi.org/10.3390/rs5041568
135. A snow cover climatology for the Pyrenees from MODIS snow products S. Gascoin et al. https://doi.org/10.5194/hess-19-2337-2015
136. 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
137. 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
138. 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
139. 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
140. 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
141. 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
142. 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
143. 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
144. 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
145. 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
146. 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
147. 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
148. Spatio‐temporal combination of MODIS images – potential for snow cover mapping J. Parajka & G. Blöschl https://doi.org/10.1029/2007WR006204
149. 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
150. 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
151. 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
152. 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
153. 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
154. 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
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