92 citations as recorded by crossref.

1. The role of declining snow cover in the desiccation of the Great Salt Lake, Utah, using MODIS data D. Hall et al. 10.1016/j.rse.2020.112106
2. Development of a cloud-free MODIS NDSI dataset (2001–2020) over Northeast China H. Guo et al. 10.1080/17538947.2024.2398062
3. Need and vision for global medium-resolution Landsat and Sentinel-2 data products V. Radeloff et al. 10.1016/j.rse.2023.113918
4. Comparison of snow disappearance date estimates and tree stem radial growth onset at the forest-tundra ecotone W. Weygint et al. 10.1016/j.agrformet.2023.109388
5. Evaluating MODIS snow products using an extensive wildlife camera network C. Breen et al. 10.1016/j.rse.2023.113648
6. Synergistic approach for streamflow forecasting in a glacierized catchment of western Himalaya using earth observation and machine learning techniques J. Dharpure et al. 10.1007/s12145-024-01322-6
7. 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. 10.1016/j.ejrh.2021.100835
8. Multiple Remotely Sensed Lines of Evidence for a Depleting Seasonal Snowpack in the Near East Y. Yılmaz et al. 10.3390/rs11050483
9. BI or IB: Which Better Generates High Spatiotemporal Resolution NDSI by Fusing Sentinel-2A/B and MODIS Data? L. Dong et al. 10.1109/JSTARS.2023.3347202
10. MODIS daily cloud-gap-filled fractional snow cover dataset of the Asian Water Tower region (2000–2022) F. Pan et al. 10.5194/essd-16-2501-2024
11. A cloud-free MODIS snow cover dataset for the contiguous United States from 2000 to 2017 H. Tran et al. 10.1038/sdata.2018.300
12. Estimating Regional Snow Line Elevation Using Public Webcam Images C. Portenier et al. 10.3390/rs14194730
13. Spatial Downscaling of MODIS Snow Cover Observations Using Sentinel-2 Snow Products J. Revuelto et al. 10.3390/rs13224513
14. Aerosol Effects on Lightning Characteristics: A Comparison of Polluted and Clean Regimes Y. Liu et al. 10.1029/2019GL086825
15. On the frequency of lake-effect snowfall in the Catskill Mountains D. Hall et al. 10.1080/02723646.2018.1440827
16. A comparison of National Water Model retrospective analysis snow outputs at snow telemetry sites across the Western United States I. Garousi‐Nejad & D. Tarboton 10.1002/hyp.14469
17. Ground-based evaluation of MODIS snow cover product V6 across China: Implications for the selection of NDSI threshold H. Zhang et al. 10.1016/j.scitotenv.2018.10.128
18. Deciphering Snow-cover Dynamics: Terrain Analysis in the Mountainous River Basin, Western Himalayas C. Kant et al. 10.1007/s41101-024-00300-9
19. Spatial and Temporal Adaptive Gap-Filling Method Producing Daily Cloud-Free NDSI Time Series S. Chen et al. 10.1109/JSTARS.2020.2993037
20. 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. 10.3390/rs12071077
21. Assimilation of Satellite-Based Snow Cover and Freeze/Thaw Observations Over High Mountain Asia Y. Xue et al. 10.3389/feart.2019.00115
22. Improving Fractional Snow Cover Retrieval From Passive Microwave Data Using a Radiative Transfer Model and Machine Learning Method X. Xiao et al. 10.1109/TGRS.2021.3128524
23. Continuity of MODIS and VIIRS Snow Cover Extent Data Products for Development of an Earth Science Data Record G. Riggs & D. Hall 10.3390/rs12223781
24. Mapping snow cover in forests using optical remote sensing, machine learning and time-lapse photography J. Luo et al. 10.1016/j.rse.2022.113017
25. Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data Z. Wang et al. 10.1016/j.rse.2021.112557
26. Development and Evaluation of a Cloud-Gap-Filled MODIS Normalized Difference Snow Index Product over High Mountain Asia G. Deng et al. 10.3390/rs16010192
27. Application of the ESTARFM algorithm for fusing Sentinel-2 and MODIS NDSI series in the eastern Qilian Mountains H. Guo et al. 10.1016/j.ejrh.2024.102103
28. A Practical Approach to Improve the MODIS MCD43A Products in Snow-Covered Areas A. Ding et al. 10.34133/remotesensing.0057
29. Random Forest-Based Snow Cover Mapping in China Using Fengyun-3B VIRR Data Y. Xie et al. 10.1007/s13351-023-3003-z
30. Assessment of snow cover variability and its sensitivity to hydrometeorological factors in the Karakoram and Himalayan region J. Dharpure et al. 10.1080/02626667.2021.1985125
31. Enhanced scaling effects significantly lower the ability of MODIS normalized difference snow index to estimate fractional and binary snow cover on the Tibetan Plateau H. Zhang et al. 10.1016/j.jhydrol.2020.125795
32. On the Interest of Optical Remote Sensing for Seasonal Snowmelt Parameterization, Applied to the Everest Region (Nepal) B. Bouchard et al. 10.3390/rs11222598
33. Comparative evaluation of VIIRS daily snow cover product with MODIS for snow detection in China based on ground observations H. Zhang et al. 10.1016/j.scitotenv.2020.138156
34. Evaluation of the Accuracy of Interactive Multisensor Snow and Ice Mapping System (IMS) 1 km Product Using Ground Snow Depth Data Across China A. Chen et al. 10.3390/rs16224178
35. Sub-kilometer Precipitation Datasets for Snowpack and Glacier Modeling in Alpine Terrain V. Vionnet et al. 10.3389/feart.2019.00182
36. NASA's Black Marble nighttime lights product suite M. Román et al. 10.1016/j.rse.2018.03.017
37. Performance of climate reanalyses in the determination of pan-Arctic terrestrial rain-on-snow events J. Tao et al. 10.1016/j.accre.2023.08.002
38. Evaluating satellite retrieved fractional snow-covered area at a high-Arctic site using terrestrial photography K. Aalstad et al. 10.1016/j.rse.2019.111618
39. A Simple and Effective Random Forest Refit to Map the Spatial Distribution of NO2 Concentrations Y. Chi & Y. Zhan 10.3390/atmos13111832
40. Space‐Based Observations for Understanding Changes in the Arctic‐Boreal Zone B. Duncan et al. 10.1029/2019RG000652
41. Spatiotemporal changes in snow cover and their relationship with drought events in the Lake Urmia basin H. Safari et al. 10.1080/02626667.2023.2276737
42. An Assessment and Error Analysis of MOD10A1 Snow Product Using Landsat and Ground Observations Over China During 2000–2016 C. Liu et al. 10.1109/JSTARS.2020.2983550
43. Effect of Cloud Mask on the Consistency of Snow Cover Products from MODIS and VIIRS A. Liu et al. 10.3390/rs14236134
44. The recent developments in cloud removal approaches of MODIS snow cover product X. Li et al. 10.5194/hess-23-2401-2019
45. TROPOMI SIF reveals large uncertainty in estimating the end of plant growing season from vegetation indices data in the Tibetan Plateau J. Yang et al. 10.1016/j.rse.2022.113209
46. High-resolution mapping of seasonal snow cover extent in the Pamir Hindu Kush using machine learning-based integration of multi-sensor data A. Mahmoodzada et al. 10.1007/s11600-023-01281-4
47. Comparing MODIS snow products Collection 5 with Collection 6 over Italian Central Apennines P. Da Ronco et al. 10.1080/01431161.2020.1714778
48. The NIEER AVHRR snow cover extent product over China – a long-term daily snow record for regional climate research X. Hao et al. 10.5194/essd-13-4711-2021
49. Tracing Snowmelt Paths in an Integrated Hydrological Model for Understanding Seasonal Snowmelt Contribution at Basin Scale H. Li et al. 10.1029/2019JD030760
50. A dataset of MODIS gap-filled fractional snow cover in the source area of Yellow River during 2000–2021 Y. YANG et al. 10.11922/11-6035.ncdc.2022.0005.zh
51. Evaluation of the support vector regression (SVR) and the random forest (RF) models accuracy for streamflow prediction under a data-scarce basin in Morocco B. Bargam et al. 10.1007/s42452-024-05994-z
52. Near-surface temperature inversion during summer at Summit, Greenland, and its relation to MODIS-derived surface temperatures A. Adolph et al. 10.5194/tc-12-907-2018
53. Reconstructing a Gap-Free MODIS Normalized Difference Snow Index Product Using a Long Short-Term Memory Network J. Hou et al. 10.1109/TGRS.2022.3178421
54. Evaluation of MODIS and VIIRS cloud-gap-filled snow-cover products for production of an Earth science data record D. Hall et al. 10.5194/hess-23-5227-2019
55. A new snow cover mapping algorithm for Chinese geostationary meteorological satellite FY-4A AGRI data L. He et al. 10.1080/17538947.2024.2367086
56. Glacier Area and Snow Cover Changes in the Range System Surrounding Tarim from 2000 to 2020 Using Google Earth Engine J. Zhang et al. 10.3390/rs13245117
57. Regional trends in snowmelt timing for the western United States throughout the MODIS era D. O’Leary et al. 10.1080/02723646.2020.1854418
58. Spatio-temporal patterns of snow cover in the Tien Shan, China from 2000 to 2019 based on cloud-free data supported by Google Earth Engine Q. Ji et al. 10.1080/2150704X.2023.2189030
59. An accurate snow cover product for the Moroccan Atlas Mountains: Optimization of the MODIS NDSI index threshold and development of snow fraction estimation models M. Bousbaa et al. 10.1016/j.jag.2024.103851
60. Changes in albedo and its radiative forcing of grasslands in East Asia drylands Q. Zhu et al. 10.1186/s13717-024-00493-w
61. Measurement and Modelling of Particulate Pollution over Kashmir Himalaya, India M. Bhat et al. 10.1007/s11270-021-05062-x
62. Mass wasting and erosion in different morphoclimatic zones of the Makalu Barun region, Nepal Himalaya J. Kalvoda & A. Emmer 10.1080/04353676.2021.2000816
63. Combining MODIS and National Land Resource Products to Model Land Cover-Dependent Surface Albedo for Norway R. Bright & R. Astrup 10.3390/rs11070871
64. Snow cover detection in mid-latitude mountainous and polar regions using nighttime light data Y. Huang et al. 10.1016/j.rse.2021.112766
65. 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. 10.5194/essd-14-4445-2022
66. Machine learning-based estimation of fractional snow cover in the Hindukush Mountains using MODIS and Landsat data A. Haseeb Azizi et al. 10.1016/j.jhydrol.2024.131579
67. STAR NDSI collection: a cloud-free MODIS NDSI dataset (2001–2020) for China Y. Jing et al. 10.5194/essd-14-3137-2022
68. Reconstructing MODIS normalized difference snow index product on Greenland ice sheet using spatiotemporal extreme gradient boosting model F. Ye et al. 10.1016/j.jhydrol.2024.132277
69. Estimating fractional snow cover from passive microwave brightness temperature data using MODIS snow cover product over North America X. Xiao et al. 10.5194/tc-15-835-2021
70. Mapping snow cover from daily Collection 6 MODIS products over Austria R. Tong et al. 10.1016/j.jhydrol.2020.125548
71. Importance and vulnerability of the world’s water towers W. Immerzeel et al. 10.1038/s41586-019-1822-y
72. 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. 10.1016/j.jhydrol.2022.127648
73. Snow cover and snow albedo changes in the central Andes of Chile and Argentina from daily MODIS observations (2000–2016) J. Malmros et al. 10.1016/j.rse.2018.02.072
74. Reflectance variation in boreal landscape during the snow melting period using airborne imaging spectroscopy K. Heinilä et al. 10.1016/j.jag.2018.10.017
75. Towards a gapless 1 km fractional snow cover via a data fusion framework X. Xiao et al. 10.1016/j.isprsjprs.2024.07.018
76. Variations in Winter Surface Temperature of the Purog Kangri Ice Field, Qinghai–Tibetan Plateau, 2001–2018, Using MODIS Data Y. Qie et al. 10.3390/rs12071133
77. Mapping land degradation and sand and dust generation hotspots by spatiotemporal data fusion analysis: A case‐study in the southern Gobi (Mongolia) J. Kim et al. 10.1002/ldr.4558
78. Spatiotemporal snow cover characterization and its linkage with climate change over the Chenab river basin, western Himalayas J. Dharpure et al. 10.1080/15481603.2020.1821150
79. Estimating fractional snow cover in vegetated environments using MODIS surface reflectance data X. Xiao et al. 10.1016/j.jag.2022.103030
80. The Grass Is Not Always Greener on the Other Side: Seasonal Reversal of Vegetation Greenness in Aspect‐Driven Semiarid Ecosystems N. Kumari et al. 10.1029/2020GL088918
81. Lightning Enhancement in Moist Convection With Smoke‐Laden Air Advected From Australian Wildfires Y. Liu et al. 10.1029/2020GL092355
82. A Review on remote sensing application in river ecosystem evaluation A. Singh & V. Vyas 10.1007/s41324-022-00470-5
83. Snow-cover remote sensing of conifer tree recovery in high-severity burn patches C. Menick et al. 10.1016/j.rse.2024.114114
84. Comparison of Snow Disappearance Date Estimates and Tree Stem Radial Growth Onset at the Forest-Tundra Ecotone W. Weygint et al. 10.2139/ssrn.4183361
85. Quantifying the early snowmelt event of 2015 in the Cascade Mountains, USA by developing and validating MODIS-based snowmelt timing maps D. O’Leary et al. 10.1007/s11707-018-0719-7
86. Current and Near-Term Earth-Observing Environmental Satellites, Their Missions, Characteristics, Instruments, and Applications S. Ustin & E. Middleton 10.3390/s24113488
87. A New Retrieval Algorithm of Fractional Snow over the Tibetan Plateau Derived from AVH09C1 H. Yin et al. 10.3390/rs16132260
88. Data Assimilation Improves Estimates of Climate-Sensitive Seasonal Snow M. Girotto et al. 10.1007/s40641-020-00159-7
89. Snow Cover Monitoring with Chinese Gaofen-4 PMS Imagery and the Restored Snow Index (RSI) Method: Case Studies T. Zhang et al. 10.3390/rs10121871
90. Impacts of aspect on snow characteristics using remote sensing from 2000 to 2020 in Ajichai-Iran M. Goodarzi et al. 10.1016/j.coldregions.2022.103682
91. 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. 10.3390/rs16163029
92. An Assessment of Existing Methodologies to Retrieve Snow Cover Fraction from MODIS Data T. Masson et al. 10.3390/rs10040619