52 citations as recorded by crossref.

1. Unpiloted Aerial Vehicle Retrieval of Snow Depth Over Freshwater Lake Ice Using Structure From Motion G. Gunn et al. 10.3389/frsen.2021.675846
2. Snow Depth Retrieval With an Autonomous UAV-Mounted Software-Defined Radar S. Prager et al. 10.1109/TGRS.2021.3117509
3. Unmanned Aerial Vehicles in Hydrology and Water Management: Applications, Challenges, and Perspectives B. Acharya et al. 10.1029/2021WR029925
4. Location Dictates Snow Aerodynamic Roughness S. Fassnacht et al. 10.3390/glacies1010001
5. Measurement of snow depth and avalanche accumulation distribution in avalanche zones using unmanned aerial vehicle photogrammetry with post-processing kinematic positioning S. ADACHI et al. 10.5331/seppyo.84.5_439
6. Snow depth mapping with unpiloted aerial system lidar observations: a case study in Durham, New Hampshire, United States J. Jacobs et al. 10.5194/tc-15-1485-2021
7. Snow Surface Roughness across Spatio-Temporal Scales S. Fassnacht et al. 10.3390/w15122196
8. Mapping snow depth and volume at the alpine watershed scale from aerial imagery using Structure from Motion J. Meyer et al. 10.3389/feart.2022.989792
9. Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 2: Snow processes and snow–canopy interactions L. Meriö et al. 10.5194/tc-17-4363-2023
10. Spatially continuous snow depth mapping by aeroplane photogrammetry for annual peak of winter from 2017 to 2021 in open areas L. Bührle et al. 10.5194/tc-17-3383-2023
11. Intercomparison of UAV platforms for mapping snow depth distribution in complex alpine terrain J. Revuelto et al. 10.1016/j.coldregions.2021.103344
12. Winters are changing: snow effects on Arctic and alpine tundra ecosystems C. Rixen et al. 10.1139/as-2020-0058
13. An Accuracy Assessment of Snow Depth Measurements in Agro-Forested Environments by UAV Lidar V. Dharmadasa et al. 10.3390/rs14071649
14. Drone-based ground-penetrating radar (GPR) application to snow hydrology E. Valence et al. 10.5194/tc-16-3843-2022
15. Mapping snow depth and spatial variability using SFM photogrammetry of UAV images over rugged mountainous regions of the Western Himalaya S. Dewali et al. 10.1080/10106049.2022.2127923
16. Improving the snowpack monitoring in the mountainous areas of Sweden from space: a machine learning approach J. Zhang et al. 10.1088/1748-9326/abfe8d
17. Spatial patterns of snow distribution in the sub-Arctic K. Bennett et al. 10.5194/tc-16-3269-2022
18. The Role of Basin Geometry in Mountain Snowpack Responses to Climate Change J. Shea et al. 10.3389/frwa.2021.604275
19. UAV-borne LiDAR revolutionizing groundwater level mapping S. García-López et al. 10.1016/j.scitotenv.2022.160272
20. Local-scale heterogeneity of soil thermal dynamics and controlling factors in a discontinuous permafrost region C. Wang et al. 10.1088/1748-9326/ad27bb
21. Spatio‐temporal analysis of snow depth and snow water equivalent in a mountainous catchment: Insights from in‐situ observations and statistical modelling T. Çitgez et al. 10.1002/hyp.15260
22. Assessing UAV-based laser scanning for monitoring glacial processes and interactions at high spatial and temporal resolutions N. Baurley et al. 10.3389/frsen.2022.1027065
23. Tree canopy and snow depth relationships at fine scales with terrestrial laser scanning A. Hojatimalekshah et al. 10.5194/tc-15-2187-2021
24. Assessment of DSM Based on Radiometric Transformation of UAV Data M. Chaudhry et al. 10.3390/s21051649
25. Measuring the spatiotemporal variability in snow depth in subarctic environments using UASs – Part 1: Measurements, processing, and accuracy assessment A. Rauhala et al. 10.5194/tc-17-4343-2023
26. Assessment of L-band InSAR snow estimation techniques over a shallow, heterogeneous prairie snowpack R. Palomaki & E. Sproles 10.1016/j.rse.2023.113744
27. Maximum entropy modeling to identify physical drivers of shallow snowpack heterogeneity using unpiloted aerial system (UAS) lidar E. Cho et al. 10.1016/j.jhydrol.2021.126722
28. Uncertainty of ICESat-2 ATL06- and ATL08-derived snow depths for glacierized and vegetated mountain regions E. Enderlin et al. 10.1016/j.rse.2022.113307
29. Exploring snow distribution dynamics in steep forested slopes with UAV-borne LiDAR K. Koutantou et al. 10.1016/j.coldregions.2022.103587
30. Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data I. Alabi et al. 10.3389/frsen.2024.1481848
31. UAS remote sensing applications to abrupt cold region hazards M. Verfaillie et al. 10.3389/frsen.2023.1095275
32. Topographic and vegetation controls of the spatial distribution of snow depth in agro-forested environments by UAV lidar V. Dharmadasa et al. 10.5194/tc-17-1225-2023
33. Marginal snowpacks: The basis for a global definition and existing research needs J. López-Moreno et al. 10.1016/j.earscirev.2024.104751
34. Measuring prairie snow water equivalent with combined UAV-borne gamma spectrometry and lidar P. Harder et al. 10.5194/tc-18-3277-2024
35. Light and Shadow in Mapping Alpine Snowpack With Unmanned Aerial Vehicles in the Absence of Ground Control Points J. Revuelto et al. 10.1029/2020WR028980
36. A new interpolation method to resolve under-sampling of UAV-lidar snow depth observations in coniferous forests V. Dharmadasa et al. 10.1016/j.coldregions.2024.104134
37. Modelling snowpack bulk density using snow depth, cumulative degree‐days, and climatological predictor variables A. Szeitz & R. Moore 10.1002/hyp.14800
38. 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
39. Understanding wind-driven melt of patchy snow cover L. van der Valk et al. 10.5194/tc-16-4319-2022
40. UAV hyperspectral imaging for multiscale assessment of Landsat 9 snow grain size and albedo S. Skiles et al. 10.3389/frsen.2022.1038287
41. Mapping snow depth on Canadian sub-arctic lakes using ground-penetrating radar A. Pouw et al. 10.5194/tc-17-2367-2023
42. Validation of FABDEM, a global bare-earth elevation model, against UAV-lidar derived elevation in a complex forested mountain catchment C. Marsh et al. 10.1088/2515-7620/acc56d
43. Role of LiDAR remote sensing in identifying physiognomic traits of alpine treeline: a global review J. Mathew et al. 10.1007/s42965-023-00317-6
44. Estimating vegetation and litter biomass fractions in rangelands using structure-from-motion and LiDAR datasets from unmanned aerial vehicles J. Fernández-Guisuraga et al. 10.1007/s10980-024-01979-w
45. Evaluating the Effects of UAS Flight Speed on Lidar Snow Depth Estimation in a Heterogeneous Landscape F. Sullivan et al. 10.3390/rs15215091
46. Drone applications in hydrogeophysics: Recent examples and a vision for the future A. Mangel et al. 10.1190/tle41080540.1
47. New opportunities for low-cost LiDAR-derived snow depth estimates from a consumer drone-mounted smartphone F. King et al. 10.1016/j.coldregions.2022.103757
48. Spatiotemporal Variations in Liquid Water Content in a Seasonal Snowpack: Implications for Radar Remote Sensing R. Bonnell et al. 10.3390/rs13214223
49. Multitemporal UAV lidar detects seasonal heave and subsidence on palsas C. Renette et al. 10.5194/tc-18-5465-2024
50. Applicability of alpine snow depth estimation based on multitemporal UAV-LiDAR data: A case study in the Maxian Mountains, Northwest China T. Feng et al. 10.1016/j.jhydrol.2022.129006
51. Influence of forest canopy structure and wind flow on patterns of sub‐canopy snow accumulation in montane needleleaf forests J. Staines & J. Pomeroy 10.1002/hyp.15005
52. BVLOS Unmanned Aircraft Operations in Forest Environments R. Hartley et al. 10.3390/drones6070167