47 citations as recorded by crossref.

1. Comparison of Machine Learning-Based Snow Depth Estimates and Development of a New Operational Retrieval Algorithm over China J. Yang et al. 10.3390/rs14122800
2. Capability assessment of Sentinel-1 data for estimation of snow hydrological potential in the Khanabad watershed in the Hindu Kush Himalayas of Afghanistan A. Mahmoodzada et al. 10.1016/j.rsase.2022.100758
3. Operational snow-hydrological modeling for Switzerland R. Mott et al. 10.3389/feart.2023.1228158
4. Combining Daily Sensor Observations and Spatial LiDAR Data for Mapping Snow Water Equivalent in a Sub‐Alpine Forest J. Geissler et al. 10.1029/2023WR034460
5. Sentinel-1 time series for mapping snow cover depletion and timing of snowmelt in Arctic periglacial environments: case study from Zackenberg and Kobbefjord, Greenland S. Buchelt et al. 10.5194/tc-16-625-2022
6. Water Balance in Alpine Catchments by Sentinel Data R. Perico et al. 10.1029/2021WR031355
7. Snow detection in alpine regions with Convolutional Neural Networks: discriminating snow from cold clouds and water body Y. Lu et al. 10.1080/15481603.2022.2112391
8. Remote sensing of mountain snow from space: status and recommendations S. Gascoin et al. 10.3389/feart.2024.1381323
9. A Digital Twin of the terrestrial water cycle: a glimpse into the future through high-resolution Earth observations L. Brocca et al. 10.3389/fsci.2023.1190191
10. Investigation of Environmental Effects on Coherence Loss in SAR Interferometry for Snow Water Equivalent Retrieval J. Ruiz et al. 10.1109/TGRS.2022.3223760
11. 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. 10.3390/rs15020343
12. Subgridding high-resolution numerical weather forecast in the Canadian Selkirk mountain range for local snow modeling in a remote sensing perspective P. Billecocq et al. 10.5194/tc-18-2765-2024
13. Spatio-temporal information propagation using sparse observations in hyper-resolution ensemble-based snow data assimilation E. Alonso-González et al. 10.5194/hess-27-4637-2023
14. Marginal snowpacks: The basis for a global definition and existing research needs J. López-Moreno et al. 10.1016/j.earscirev.2024.104751
15. Estimating spatiotemporally continuous snow water equivalent from intermittent satellite observations: an evaluation using synthetic data X. Ma et al. 10.5194/hess-27-21-2023
16. A long-term daily gridded snow depth dataset for the Northern Hemisphere from 1980 to 2019 based on machine learning Y. Hu et al. 10.1080/20964471.2023.2177435
17. Exploring the use of multi-source high-resolution satellite data for snow water equivalent reconstruction over mountainous catchments V. Premier et al. 10.5194/tc-17-2387-2023
18. High‐resolution snow depth prediction using Random Forest algorithm with topographic parameters: A case study in the Greiner watershed, Nunavut J. Meloche et al. 10.1002/hyp.14546
19. Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements Y. Hu et al. 10.3389/frsen.2022.855159
20. Wflow_sbm v0.7.3, a spatially distributed hydrological model: from global data to local applications W. van Verseveld et al. 10.5194/gmd-17-3199-2024
21. Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing L. Tsang et al. 10.5194/tc-16-3531-2022
22. Snowpack relative permittivity and density derived from near‐coincident lidar and ground‐penetrating radar R. Bonnell et al. 10.1002/hyp.14996
23. Constraining Mountain Streamflow Constituents by Integrating Citizen Scientist Acquired Geochemical Samples and Sentinel‐1 SAR Wet Snow Time‐Series for the Shimshal Catchment in the Karakoram Mountains of Pakistan J. Lund et al. 10.1029/2022WR032171
24. Multifeature GNSS-R Snow Depth Retrieval Using GA-BP Neural Network W. Liu et al. 10.1109/LGRS.2023.3291404
25. Identifying snowfall elevation patterns by assimilating satellite-based snow depth retrievals M. Girotto et al. 10.1016/j.scitotenv.2023.167312
26. Snow accumulation, albedo and melt patterns following road construction on permafrost, Inuvik–Tuktoyaktuk Highway, Canada J. Hammar et al. 10.5194/tc-17-5357-2023
27. Assessment of L-band InSAR snow estimation techniques over a shallow, heterogeneous prairie snowpack R. Palomaki & E. Sproles 10.1016/j.rse.2023.113744
28. Drought in Northern Italy: Long Earth Observation Time Series Reveal Snow Line Elevation to Be Several Hundred Meters Above Long-Term Average in 2022 J. Koehler et al. 10.3390/rs14236091
29. Mountain Snow Depth Retrieval From Optical and Passive Microwave Remote Sensing Using Machine Learning C. Xiong et al. 10.1109/LGRS.2022.3226204
30. Ground-Based Oblique-View Photogrammetry and Sentinel-1 Spaceborne RADAR Reflectivity Snow Melt Processes Assessment on an Arctic Glacier J. Friedt et al. 10.3390/rs15071858
31. A Synthetic Aperture Radar Based Method for Long Term Monitoring of Seasonal Snowmelt and Wintertime Rain-On-Snow Events in Svalbard H. Vickers et al. 10.3389/feart.2022.868945
32. Airborne Multi-channel UWB FMCW Radar for Snow Depth Measurements S. Kolpuke et al. 10.1109/TGRS.2024.3359125
33. Deriving Snow Depth From ICESat-2 Lidar Multiple Scattering Measurements: Uncertainty Analyses X. Lu et al. 10.3389/frsen.2022.891481
34. Evaluation of snow depth retrievals from ICESat-2 using airborne laser-scanning data C. Deschamps-Berger et al. 10.5194/tc-17-2779-2023
35. Passive Microwave Remote Sensing of Snow Depth: Techniques, Challenges and Future Directions S. Tanniru & R. Ramsankaran 10.3390/rs15041052
36. Snow water equivalent retrieval over Idaho – Part 1: Using Sentinel-1 repeat-pass interferometry S. Oveisgharan et al. 10.5194/tc-18-559-2024
37. Evaluating the utility of active microwave observations as a snow mission concept using observing system simulation experiments E. Cho et al. 10.5194/tc-17-3915-2023
38. Spatial Dispersion and Non-Negative Matrix Factorization of SAR Backscattering as Tools for Monitoring Snow Depth Evolution in Mountain Areas: A Case Study at Central Pyrenees (Spain) A. Amoruso et al. 10.3390/rs14030653
39. Perspective on satellite-based land data assimilation to estimate water cycle components in an era of advanced data availability and model sophistication G. De Lannoy et al. 10.3389/frwa.2022.981745
40. Snow depth retrieval from microwave remote sensing by combining wavelet transform and machine learning models in Northern Xinjiang, China H. Hou et al. 10.1117/1.JRS.18.024517
41. Forest Snow Depth Estimation Based on Optimized Features and DNN Network Using C-Band SAR Data G. Yu et al. 10.1109/LGRS.2024.3379202
42. Interpreting Sentinel-1 SAR Backscatter Signals of Snowpack Surface Melt/Freeze, Warming, and Ripening, through Field Measurements and Physically-Based SnowModel J. Lund et al. 10.3390/rs14164002
43. Estimating snow depth based on dual polarimetric radar index from Sentinel-1 GRD data: A case study in the Scandinavian Mountains T. Feng et al. 10.1016/j.jag.2024.103873
44. Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR) J. Tarricone et al. 10.5194/tc-17-1997-2023
45. Quantitative Evaluation of the Soil Signal Effect on the Correlation between Sentinel-1 Cross Ratio and Snow Depth T. Feng et al. 10.3390/rs13224691
46. GNSS signal-based snow water equivalent determination for different snowpack conditions along a steep elevation gradient A. Capelli et al. 10.5194/tc-16-505-2022
47. METHOD AND ACCURACY OF ESTIMATING SNOW DEPTH USING SENTINEL-1 SAR DATA IN GUNMA PREFECTURE IN JAPAN H. ABO et al. 10.2208/jscejj.22-00345