51 citations as recorded by crossref.

1. Anisotropy Parameterization Development and Evaluation for Glacier Surface Albedo Retrieval from Satellite Observations S. Ren et al. 10.3390/rs13091714
2. 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
3. Assessment of snow cover mapping algorithms from Landsat surface reflectance data and application to automated snowline delineation X. Xiao & S. Liang 10.1016/j.rse.2024.114163
4. 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
5. Morphological indexes to describe snow-cover patterns in a high-alpine area L. Ferrarin et al. 10.1017/aog.2023.62
6. Binary and Fractional MODIS Snow Cover Mapping Boosted by Machine Learning and Big Landsat Data W. Luan et al. 10.1109/TGRS.2022.3198508
7. On the Value of Available MODIS and Landsat8 OLI Image Pairs for MODIS Fractional Snow Cover Mapping Based on an Artificial Neural Network J. Hou et al. 10.1109/TGRS.2019.2963075
8. Effect of shadow on atmospheric and topographic processed NDSI values in Chenab basin, western Himalayas A. Jasrotia et al. 10.1016/j.coldregions.2022.103561
9. Landsat, MODIS, and VIIRS snow cover mapping algorithm performance as validated by airborne lidar datasets T. Stillinger et al. 10.5194/tc-17-567-2023
10. Non-Binary Snow Index for Multi-Component Surfaces M. Arreola-Esquivel et al. 10.3390/rs13142777
11. Effective Improvement of the Accuracy of Snow Cover Discrimination Using a Random Forests Algorithm Considering Multiple Factors: A Case Study of the Three-Rivers Headwater Region, Tibet Plateau R. He et al. 10.3390/rs15194644
12. FSC-USNet: Fractional Snow Cover Retrieval on the Tibetan Plateau by Integrating Improved Attention Mechanisms X. Liu et al. 10.1109/JSTARS.2024.3360087
13. Bofedal wetland and glacial melt contributions to dry season streamflow in a high‐Andean headwater watershed T. Gribbin et al. 10.1002/hyp.15237
14. The complementary value of cosmic-ray neutron sensing and snow covered area products for snow hydrological modelling P. Schattan et al. 10.1016/j.rse.2019.111603
15. A new snow cover mapping algorithm for Chinese geostationary meteorological satellite FY-4A AGRI data L. He et al. 10.1080/17538947.2024.2367086
16. Essential Variables for Environmental Monitoring: What Are the Possible Contributions of Earth Observation Data Cubes? G. Giuliani et al. 10.3390/data5040100
17. 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
18. Identifying areas of archaeological potential in the Swiss Alps using satellite-derived time-series of snow cover estimates C. Cornut et al. 10.1016/j.rsase.2022.100838
19. The evaluation of the potential of global data products for snow hydrological modelling in ungauged high-alpine catchments M. Weber et al. 10.5194/hess-25-2869-2021
20. Optimal foraging by a large ungulate in an extreme environment: Wild mountain reindeer select snow‐free feeding habitats in winter L. Romtveit et al. 10.1002/ece3.7843
21. Evaluación del retroceso glaciar de la Sierra Nevada del Cocuy, Colombia a partir de la clasificación de imágenes multisensor S. Molano et al. 10.18273/revbol.v44n1-2022002
22. High‐Resolution Snowline Delineation From Landsat Imagery to Infer Snow Cover Controls in a Himalayan Catchment M. Girona‐Mata et al. 10.1029/2019WR024935
23. Towards Forecasting Future Snow Cover Dynamics in the European Alps—The Potential of Long Optical Remote-Sensing Time Series J. Koehler et al. 10.3390/rs14184461
24. An improvement of snow/cloud discrimination from machine learning using geostationary satellite data D. Jin et al. 10.1080/17538947.2022.2152886
25. 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
26. Climate-related drivers of nutrient inputs and food web structure in shallow Arctic lake ecosystems E. Calizza et al. 10.1038/s41598-022-06136-4
27. Mapping snow density through thermal inertia observations R. Colombo et al. 10.1016/j.rse.2022.113323
28. Snow Cover and Snow Persistence Changes in the Mocho-Choshuenco Volcano (Southern Chile) Derived From 35 Years of Landsat Satellite Images R. Chávez et al. 10.3389/fevo.2021.643850
29. On the Seasonality of the Snow Optical Behaviour at Ny Ålesund (Svalbard Islands, Norway) R. Salzano et al. 10.3390/geosciences11030112
30. Interactions between thresholds and spatial discretizations of snow: insights from estimates of wolverine denning habitat in the Colorado Rocky Mountains J. Pflug et al. 10.5194/hess-27-2747-2023
31. Mapping snow cover from daily Collection 6 MODIS products over Austria R. Tong et al. 10.1016/j.jhydrol.2020.125548
32. The frost wave hypothesis: How the environment drives autumn departure of migratory waterfowl F. Xu & Y. Si 10.1016/j.ecolind.2019.02.024
33. 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. 10.1029/2018WR024431
34. Improved Landsat-based snow cover mapping accuracy using a spatiotemporal NDSI and generalized linear mixed model C. Poussin et al. 10.1016/j.srs.2023.100078
35. Introducing seasonal snow memory into the RUSLE K. Mouris et al. 10.1007/s11368-022-03192-1
36. Estimating Regional Snow Line Elevation Using Public Webcam Images C. Portenier et al. 10.3390/rs14194730
37. Impact of Climate Change on Spatio-Temporal Distribution of Glaciers in Western Karakoram Region since 1990: A Case Study of Central Karakoram National Park M. Moazzam et al. 10.3390/w14192968
38. Quantifying regional variability of machine-learning-based snow water equivalent estimates across the Western United States D. Liljestrand et al. 10.1016/j.envsoft.2024.106053
39. A stochastic cellular automaton model to describe the evolution of the snow-covered area across a high-elevation mountain catchment K. Painter et al. 10.1016/j.scitotenv.2022.159195
40. Technical note: Introduction of a superconducting gravimeter as novel hydrological sensor for the Alpine research catchment Zugspitze C. Voigt et al. 10.5194/hess-25-5047-2021
41. 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
42. On the Automated Mapping of Snow Cover on Glaciers and Calculation of Snow Line Altitudes from Multi-Temporal Landsat Data P. Rastner et al. 10.3390/rs11121410
43. Snow Cover Evolution in the Gran Paradiso National Park, Italian Alps, Using the Earth Observation Data Cube C. Poussin et al. 10.3390/data4040138
44. Development and parameter estimation of snowmelt models using spatial snow-cover observations from MODIS D. Gyawali & A. Bárdossy 10.5194/hess-26-3055-2022
45. Global Assessment of Supraglacial Debris‐Cover Extents D. Scherler et al. 10.1029/2018GL080158
46. Efficient multi-objective calibration and uncertainty analysis of distributed snow simulations in rugged alpine terrain J. Thornton et al. 10.1016/j.jhydrol.2021.126241
47. Valley-floor snowfall in Taylor Valley, Antarctica, from 1995 to 2017: spring, summer and autumn M. Myers et al. 10.1017/S0954102022000256
48. Der Wert Alpiner Forschungseinzugsgebiete im Bereich der Fernerkundung, der Schneedeckenmodellierung und der lokalen Klimamodellierung M. Bernhardt et al. 10.1007/s00506-018-0510-8
49. An Automated Snow Mapper Powered by Machine Learning H. Wang et al. 10.3390/rs13234826
50. Automated Classification of Terrestrial Images: The Contribution to the Remote Sensing of Snow Cover R. Salzano et al. 10.3390/geosciences9020097
51. A Revised Snow Cover Algorithm to Improve Discrimination between Snow and Clouds: A Case Study in Gran Paradiso National Park C. Richiardi et al. 10.3390/rs13101957