80 citations as recorded by crossref.

1. Spatiotemporal variations in surface albedo during the ablation season and linkages with the annual mass balance on Muz Taw Glacier, Altai Mountains X. Yue et al. https://doi.org/10.1080/17538947.2022.2148766
2. Global glacier albedo changes in the 21st century revealed by MODIS and CMIP6 models Y. Xiao et al. https://doi.org/10.1080/17538947.2026.2681373
3. Simulating optical top-of-atmosphere radiance satellite images over snow-covered rugged terrain M. Lamare et al. https://doi.org/10.5194/tc-14-3995-2020
4. Application of an improved surface energy balance model to two large valley glaciers in the St. Elias Mountains, Yukon T. Hill et al. https://doi.org/10.1017/jog.2020.106
5. Reflectance–Elevation Relationships and Their Seasonal Patterns over Twelve Glaciers in Western China Based on Landsat 8 Data X. Li et al. https://doi.org/10.3390/rs9030187
6. Explicit representation of liquid water retention over bare ice using the SURFEX/ISBA-Crocus model: implications for mass balance at Mera glacier (Nepal) A. Goutard et al. https://doi.org/10.5194/tc-20-2393-2026
7. Comparison of modelled- and remote sensing- derived daily snow line altitudes at Ulugh Muztagh, northern Tibetan Plateau M. Spiess et al. https://doi.org/10.1007/s11629-015-3818-x
8. Annual mass-balance time series of Dongkemadi Glacier, 2000–20, from a linear albedo-based model using geodetic data and validated with the glaciological method L. Liu et al. https://doi.org/10.1017/jog.2024.1
9. Reanalysis of the longest mass balance series in Himalaya using a nonlinear model: Chhota Shigri Glacier (India) M. Azam et al. https://doi.org/10.5194/tc-18-5653-2024
10. A Multilayer Surface Temperature, Surface Albedo, and Water Vapor Product of Greenland from MODIS D. Hall et al. https://doi.org/10.3390/rs10040555
11. Mass- and Energy-Balance Modeling and Sublimation Losses on Dokriani Bamak and Chhota Shigri Glaciers in Himalaya Since 1979 S. Srivastava & M. Azam https://doi.org/10.3389/frwa.2022.874240
12. Development of adaptive phenology metrics based on MODIS albedo and temperature observations and its global-scale assessment for glacier mass balance monitoring C. Xin & Y. Sheng https://doi.org/10.1080/01431161.2025.2549537
13. Record-breaking glacier mass loss in Central Asia in 2025 L. Tricht et al. https://doi.org/10.1088/1748-9326/ae6712
14. Changes in glacier albedo and the driving factors in the Western Nyainqentanglha Mountains from 2001 to 2020 S. Ren et al. https://doi.org/10.1017/jog.2023.45
15. Surface mass balance, ice velocity and ice temperature on Baishui River Glacier No.1, Southeastern Tibetan Plateau from 2018 to 2022 X. Yan et al. https://doi.org/10.1007/s11629-025-9606-3
16. The seasonal evolution of albedo across glaciers and the surrounding landscape of Taylor Valley, Antarctica A. Bergstrom et al. https://doi.org/10.5194/tc-14-769-2020
17. Debris Emergence Elevations and Glacier Change J. Shea et al. https://doi.org/10.3389/feart.2021.709957
18. Remote sensing-based assessment of albedo changes on benchmark glaciers in the Western Himalaya, India, between 2001 and 2022 using Google Earth Engine: implications for glacier mass loss S. Magray et al. https://doi.org/10.1007/s12665-025-12749-5
19. Annual Glacier-Wide Mass Balance (2000–2016) of the Interior Tibetan Plateau Reconstructed from MODIS Albedo Products Z. Zhang et al. https://doi.org/10.3390/rs10071031
20. Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations S. Ren et al. https://doi.org/10.3390/rs13091714
21. Surface mass balance of the Northern Patagonian Ice Field and links with climate variability modes and atmospheric variables G. Collao-Barrios et al. https://doi.org/10.1017/jog.2025.10106
22. Spatio-temporal changes in glacier-wide mass balance quantified by optical remote sensing on 30 glaciers in the French Alps for the period 1983–2014 A. RABATEL et al. https://doi.org/10.1017/jog.2016.113
23. Assessment of 1D and 3D model simulated radiation flux based on surface measurements and estimation of aerosol forcing and their climatological aspects T. Subba et al. https://doi.org/10.1016/j.atmosres.2018.01.012
24. Small-scale spatial variability in bare-ice reflectance at Jamtalferner, Austria L. Hartl et al. https://doi.org/10.5194/tc-14-4063-2020
25. Reconstructing the mass balance of Brewster Glacier, New Zealand, using MODIS-derived glacier-wide albedo P. Sirguey et al. https://doi.org/10.5194/tc-10-2465-2016
26. Influence of Particulate Matter on the Albedo of Qiangtang No. 1 Glacier, Tibetan Plateau T. Xu et al. https://doi.org/10.3390/atmos13101618
27. Quantifying Annual Glacier Mass Change and Its Influence on the Runoff of the Tuotuo River L. Liu et al. https://doi.org/10.3390/rs16203898
28. Assessing the supraglacier extent of Karakoram glaciers located in Hunza River Basin, Pakistan N. Hussain et al. https://doi.org/10.2166/aqua.2024.182
29. On the Automated Mapping of Snow Cover on Glaciers and Calculation of Snow Line Altitudes from Multi-Temporal Landsat Data P. Rastner et al. https://doi.org/10.3390/rs11121410
30. Distributed energy balance, mass balance and climate sensitivity of upper Chandra Basin glaciers, western Himalaya S. Oulkar et al. https://doi.org/10.1017/aog.2024.46
31. Estimating glacier mass balance in High Mountain Asia based on Moderate Resolution Imaging Spectroradiometer retrieved surface albedo from 2000 to 2020 Y. Xiao et al. https://doi.org/10.1002/joc.7873
32. On the assimilation of optical reflectances and snow depth observations into a detailed snowpack model L. Charrois et al. https://doi.org/10.5194/tc-10-1021-2016
33. A Novel Method Combining Remote Sensing Albedo and Differencing DEM to Estimate Annual Glacier Mass Balance Y. Liu et al. https://doi.org/10.1109/JSTARS.2025.3570800
34. Spatial and temporal variations of the surface albedo and other factors influencing Urumqi Glacier No. 1 in Tien Shan, China X. YUE et al. https://doi.org/10.1017/jog.2017.57
35. Constraining sub-seasonal glacier mass balance in the Swiss Alps using Sentinel-2-derived snow-cover observations A. Cremona et al. https://doi.org/10.1017/jog.2025.1
36. Challenges in Understanding the Variability of the Cryosphere in the Himalaya and Its Impact on Regional Water Resources B. Vishwakarma et al. https://doi.org/10.3389/frwa.2022.909246
37. Dynamics of snow and glacier cover in the Upper Karnali Basin, Nepal: an analysis of its relationship with climatic and topographic parameters M. Ghimire et al. https://doi.org/10.5194/tc-20-551-2026
38. Intensified snowmelt on Karakoram glaciers Revealed by Sentinel-1 Backscatter-Derived wet snow dynamics Y. Shen et al. https://doi.org/10.1016/j.jag.2026.105391
39. Unveiling Glacier Mass Balance: Albedo Aggregation Insights for Austrian and Norwegian Glaciers F. Ye et al. https://doi.org/10.3390/rs16111914
40. Assessment of the Reprocessed Suomi NPP VIIRS Enterprise Cloud Mask Product L. Lin et al. https://doi.org/10.3390/rs13132502
41. Need of integrated monitoring on reference glacier catchments for future water security in Himalaya M. Azam https://doi.org/10.1016/j.wasec.2021.100098
42. MODIS-derived interannual variability of the equilibrium-line altitude across the Tibetan Plateau M. Spiess et al. https://doi.org/10.3189/2016AoG71A014
43. Analysis of surface energy and mass balance in the accumulation zone of Qiyi Glacier, Tibetan Plateau in an ablation season X. Wu et al. https://doi.org/10.1007/s12665-016-5591-8
44. Factors controlling the accelerated expansion of Imja Lake, Mount Everest region, Nepal S. Thakuri et al. https://doi.org/10.3189/2016AoG71A063
45. Lengthening ablation seasons are associated with declining minimum albedo of global glaciers Y. Xiao et al. https://doi.org/10.1016/j.accre.2026.06.025
46. Impact of temperature and precipitation lapse rate on hydrological modelling over Himalayan Gandak River Basin B. Kumar et al. https://doi.org/10.1007/s11629-020-6602-5
47. Quantification of annual glacier surface mass balance for the Chhota Shigri Glacier, Western Himalayas, India using an Equilibrium-Line Altitude (ELA) based approach A. Chandrasekharan et al. https://doi.org/10.1080/01431161.2018.1506182
48. Remote Sensing and Modeling of the Cryosphere in High Mountain Asia: A Multidisciplinary Review Q. Ye et al. https://doi.org/10.3390/rs16101709
49. Heard Island glacier albedo from VIIRS satellite observations 2012 to 2024 W. Lin et al. https://doi.org/10.1038/s41597-026-07783-2
50. Glacier Area and Snow Cover Changes in the Range System Surrounding Tarim from 2000 to 2020 Using Google Earth Engine J. Zhang et al. https://doi.org/10.3390/rs13245117
51. Variability in glacier albedo and links to annual mass balance for the gardens of Eden and Allah, Southern Alps, New Zealand A. Dowson et al. https://doi.org/10.5194/tc-14-3425-2020
52. Disaggregating geodetic glacier mass balance to annual scale using remote-sensing proxies A. Banerjee et al. https://doi.org/10.1017/jog.2022.89
53. The Continuity MODIS-VIIRS Cloud Mask R. Frey et al. https://doi.org/10.3390/rs12203334
54. Observed and projected declines in glacier albedo across the Third Pole in the 21st century S. Ren et al. https://doi.org/10.1016/j.oneear.2024.08.010
55. Observed spatio‐temporal changes of winter snow albedo over the north‐west Himalaya H. Negi et al. https://doi.org/10.1002/joc.4846
56. Estimating ice albedo from fine debris cover quantified by a semi-automatic method: the case study of Forni Glacier, Italian Alps R. Azzoni et al. https://doi.org/10.5194/tc-10-665-2016
57. Glacier and Snow Cover Dynamics and Their Affecting Factors on the Pamir Plateau Section of the China–Pakistan Economic Corridor Y. Han et al. https://doi.org/10.3390/land14040880
58. Glaciohydrology of the Himalaya-Karakoram M. Azam et al. https://doi.org/10.1126/science.abf3668
59. Surface energy and mass balance at Purogangri ice cap, central Tibetan Plateau, 2001–2011 E. Huintjes et al. https://doi.org/10.3189/2015JoG15J056
60. Comparing simple albedo scaling methods for estimating Arctic glacier mass balance S. Williamson et al. https://doi.org/10.1016/j.rse.2020.111858
61. Evaluating the affecting factors of glacier mass balance in Tanggula Mountains using explainable machine learning and the open global glacier model Q. Xu et al. https://doi.org/10.1007/s11629-024-9047-4
62. Influence of aerosol radiative effects on surface temperature and snow melt in the Himalayan region A. Sharma et al. https://doi.org/10.1016/j.scitotenv.2021.151299
63. What drives the decrease of glacier surface albedo in High Mountain Asia in the past two decades? Y. Xiao et al. https://doi.org/10.1016/j.scitotenv.2022.160945
64. Monitoring glacier albedo as a proxy to derive summer and annual surface mass balances from optical remote-sensing data L. Davaze et al. https://doi.org/10.5194/tc-12-271-2018
65. Evaluation of the MODIS (C6) Daily Albedo Products for Livingston Island, Antarctic A. Corbea-Pérez et al. https://doi.org/10.3390/rs13122357
66. Reconstruction of Annual Glacier Mass Balance from Remote Sensing-Derived Average Glacier-Wide Albedo Z. Zhang et al. https://doi.org/10.3390/rs15010031
67. Retrieval of high-resolution melting-season albedo and its implications for the Karakoram Anomaly F. Xie et al. https://doi.org/10.1016/j.rse.2024.114438
68. Widespread Albedo Decreasing and Induced Melting of Himalayan Snow and Ice in the Early 21st Century J. Ming et al. https://doi.org/10.1371/journal.pone.0126235
69. Annual and Seasonal Glacier-Wide Surface Mass Balance Quantified from Changes in Glacier Surface State: A Review on Existing Methods Using Optical Satellite Imagery A. Rabatel et al. https://doi.org/10.3390/rs9050507
70. Impact of impurities and cryoconite on the optical properties of the Morteratsch Glacier (Swiss Alps) B. Di Mauro et al. https://doi.org/10.5194/tc-11-2393-2017
71. Meteorological conditions, seasonal and annual mass balances of Chhota Shigri Glacier, western Himalaya, India M. Azam et al. https://doi.org/10.3189/2016AoG71A570
72. Modeling of Mass Balance Variability and Its Impact on Water Discharge from the Urumqi Glacier No. 1 Catchment, Tian Shan, China K. Thiel et al. https://doi.org/10.3390/w12123297
73. Changing climate and glacio‐hydrology in Indian Himalayan Region: a review S. Singh et al. https://doi.org/10.1002/wcc.393
74. Historical reconstruction of glacier mass balance and its contribution to water resources in the Sawir Mountains from 2000 to 2020 F. Yu et al. https://doi.org/10.1016/j.scitotenv.2024.173703
75. Cross-Comparison of Albedo Products for Glacier Surfaces Derived from Airborne and Satellite (Sentinel-2 and Landsat 8) Optical Data K. Naegeli et al. https://doi.org/10.3390/rs9020110
76. Use of ablation-season albedo as an indicator of annual mass balance of four glaciers in the Tien Shan X. Yue et al. https://doi.org/10.3389/feart.2023.974739
77. Anthropogenic influence on surface changes at the Olivares glaciers; Central Chile M. Barandun et al. https://doi.org/10.1016/j.scitotenv.2022.155068
78. The sub-seasonal and interannual spatio-temporal variability of bare-ice albedo of Abramov Glacier, Kyrgyzstan A. Volery et al. https://doi.org/10.1017/jog.2024.90
79. Retreat of Machoi Glacier, Kashmir Himalaya between 1972 and 2019 using remote sensing methods and field observations I. Rashid et al. https://doi.org/10.1016/j.scitotenv.2021.147376
80. Reconstructing 32 years (1989–2020) of annual glacier surface mass balance in Chandra Basin, Western Himalayas, India A. Chandrasekharan & R. Ramsankaran https://doi.org/10.1007/s10113-023-02112-4