86 citations as recorded by crossref.

1. Improving sub-canopy snow depth mapping with unmanned aerial vehicles: lidar versus structure-from-motion techniques P. Harder et al. 10.5194/tc-14-1919-2020
2. Photogrammetric reconstruction of homogenous snow surfaces in alpine terrain applying near-infrared UAS imagery Y. Bühler et al. 10.1080/01431161.2016.1275060
3. Centimetric Accuracy in Snow Depth Using Unmanned Aerial System Photogrammetry and a MultiStation F. Avanzi et al. 10.3390/rs10050765
4. Multitemporal Accuracy and Precision Assessment of Unmanned Aerial System Photogrammetry for Slope-Scale Snow Depth Maps in Alpine Terrain M. Adams et al. 10.1007/s00024-017-1748-y
5. Szorstkość pokrycia terenu jako źródło błędu metody SfM zastosowanej do rekonstrukcji zasięgu pokrywy śnieżnej = Terrain roughness as a source of error with the SfM method applied to the reconstruction of snow cover extent D. Szafert et al. 10.7163/PrzG.2020.3.4
6. Impact of Modern Technologies on the Organization of the Cadastral Data Modernization Process K. Kocur-Bera & I. Grzelka 10.3390/su142416649
7. Estimating River Discharges in Ungauged Catchments Using the Slope–Area Method and Unmanned Aerial Vehicle S. Yang et al. 10.3390/w11112361
8. Quantifying snow drift on Arctic structures: A case study at Summit, Greenland, using UAV-based structure-from-motion photogrammetry R. Hawley & J. Millstein 10.1016/j.coldregions.2018.10.007
9. UAV-Based Estimate of Snow Cover Dynamics: Optimizing Semi-Arid Forest Structure for Snow Persistence A. Belmonte et al. 10.3390/rs13051036
10. 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
11. A Time Series of Snow Density and Snow Water Equivalent Observations Derived From the Integration of GPR and UAV SfM Observations D. McGrath et al. 10.3389/frsen.2022.886747
12. Low Altitude Unmanned Aerial Vehicles (UAVs) and Satellite Remote Sensing Are Used to Calculated River Discharge Attenuation Coefficients of Ungauged Catchments in Arid Desert S. Yang et al. 10.3390/w11122633
13. Windmapper: An Efficient Wind Downscaling Method for Hydrological Models C. Marsh et al. 10.1029/2022WR032683
14. Synergistic analysis of satellite, unmanned aerial vehicle, terrestrial laser scanner data and process-based modelling for understanding the dynamics and morphological changes around the snout of Gangotri Glacier, India P. Dhote et al. 10.1016/j.geomorph.2021.108005
15. Accounting for permafrost creep in high-resolution snow depth mapping by modelling sub-snow ground deformation J. Goetz et al. 10.1016/j.rse.2019.111275
16. Self-Calibration of the Descent Camera of the Tianwen-1 Probe S. Zhang et al. 10.1007/s42979-022-01369-6
17. Accuracy Assessment of Digital Surface Models from Unmanned Aerial Vehicles’ Imagery on Glaciers S. Gindraux et al. 10.3390/rs9020186
18. Integrating snow science and wildlife ecology in Arctic-boreal North America N. Boelman et al. 10.1088/1748-9326/aaeec1
19. Impact of lake water level decline on river evolution in Ebinur Lake Basin (an ungauged terminal lake basin) J. Wang et al. 10.1016/j.jag.2021.102546
20. 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
21. Estimating Snow Depth and Leaf Area Index Based on UAV Digital Photogrammetry T. Lendzioch et al. 10.3390/s19051027
22. UAS remote sensing applications to abrupt cold region hazards M. Verfaillie et al. 10.3389/frsen.2023.1095275
23. Modeling blowing snow accumulation downwind of an obstruction: The Ohara Eulerian particle distribution equation N. Kinar 10.1002/2017WR020731
24. 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
25. Radar measurements of blowing snow off a mountain ridge B. Walter et al. 10.5194/tc-14-1779-2020
26. Monitoring of Snow Cover Ablation Using Very High Spatial Resolution Remote Sensing Datasets R. Eker et al. 10.3390/rs11060699
27. Intercomparison of UAV platforms for mapping snow depth distribution in complex alpine terrain J. Revuelto et al. 10.1016/j.coldregions.2021.103344
28. Unpiloted Aerial Vehicle Retrieval of Snow Depth Over Freshwater Lake Ice Using Structure From Motion G. Gunn et al. 10.3389/frsen.2021.675846
29. 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
30. 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
31. Factors Influencing the Accuracy of Shallow Snow Depth Measured Using UAV-Based Photogrammetry S. Lee et al. 10.3390/rs13040828
32. Intermediate snowpack melt-out dates guarantee the highest seasonal grasslands greening in the Pyrenees J. Revuelto et al. 10.1038/s41598-022-22391-x
33. Time‐Lapse Photogrammetry of Distributed Snow Depth During Snowmelt S. Filhol et al. 10.1029/2018WR024530
34. Estimating meltwater retention and associated nitrate redistribution during snowmelt in an Arctic tundra landscape* A. Westergaard-Nielsen et al. 10.1088/1748-9326/ab57b1
35. Local-scale deposition of surface snow on the Greenland ice sheet A. Zuhr et al. 10.5194/tc-15-4873-2021
36. Estimation of River Discharge Using Unmanned Aerial Vehicle (UAV) Based on Manning Formula for an Ungauged Alpine River in the Eastern Qilian Mountains M. Cai et al. 10.3390/w14132100
37. Monitoring snow depth change across a range of landscapes with ephemeral snowpacks using structure from motion applied to lightweight unmanned aerial vehicle videos R. Fernandes et al. 10.5194/tc-12-3535-2018
38. Modelling snowpack bulk density using snow depth, cumulative degree‐days, and climatological predictor variables A. Szeitz & R. Moore 10.1002/hyp.14800
39. 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
40. Accuracy assessment of late winter snow depth mapping for tundra environments using Structure-from-Motion photogrammetry B. Walker et al. 10.1139/as-2020-0006
41. The Content of Pollutants in the Melt Water of the Snow Polygon (Yuzhno-Sakhalinsk) M. Mikaliov 10.18412/1816-0395-2023-11-61-65
42. Scenarios of land use and land cover change in the Colombian Amazon to evaluate alternative post-conflict pathways W. Agudelo-Hz et al. 10.1038/s41598-023-29243-2
43. Repeat mapping of snow depth across an alpine catchment with RPAS photogrammetry T. Redpath et al. 10.5194/tc-12-3477-2018
44. Quantifying Uncertainties in Snow Depth Mapping From Structure From Motion Photogrammetry in an Alpine Area J. Goetz & A. Brenning 10.1029/2019WR025251
45. Image acquisition effects on Unmanned Air Vehicle snow depth retrievals A. Tekeli & S. Dönmez 10.5194/piahs-380-81-2018
46. Structure from Motion of Multi-Angle RPAS Imagery Complements Larger-Scale Airborne Lidar Data for Cost-Effective Snow Monitoring in Mountain Forests P. Broxton & W. van Leeuwen 10.3390/rs12142311
47. Quantifying snow water equivalent using terrestrial ground penetrating radar and unmanned aerial vehicle photogrammetry S. Yildiz et al. 10.1002/hyp.14190
48. Modeling the precision of structure-from-motion multi-view stereo digital elevation models from repeated close-range aerial surveys J. Goetz et al. 10.1016/j.rse.2018.03.013
49. Tree canopy and snow depth relationships at fine scales with terrestrial laser scanning A. Hojatimalekshah et al. 10.5194/tc-15-2187-2021
50. High‐Resolution Large‐Eddy Simulations of Flow in the Complex Terrain of the Canadian Rockies M. Rohanizadegan et al. 10.1029/2023EA003166
51. A Finite Volume Blowing Snow Model for Use With Variable Resolution Meshes C. Marsh et al. 10.1029/2019WR025307
52. The use of unmanned aerial vehicles (UAVs) for engineering geology applications D. Giordan et al. 10.1007/s10064-020-01766-2
53. 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
54. Albedo change from snow algae blooms can contribute substantially to snow melt in the North Cascades, USA S. Healy & A. Khan 10.1038/s43247-023-00768-8
55. Fully-automated estimation of snow depth in near real time with the use of unmanned aerial vehicles without utilizing ground control points B. Miziński & T. Niedzielski 10.1016/j.coldregions.2017.03.006
56. Direct photogrammetry with multispectral imagery for UAV-based snow depth estimation K. Maier et al. 10.1016/j.isprsjprs.2022.01.020
57. Assessing the seasonal evolution of snow depth spatial variability and scaling in complex mountain terrain Z. Miller et al. 10.5194/tc-16-4907-2022
58. 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
59. Measuring prairie snow water equivalent with combined UAV-borne gamma spectrometry and lidar P. Harder et al. 10.5194/tc-18-3277-2024
60. The use of UAVs for landslide disaster risk research and disaster risk management: a literature review R. Garnica-Peña & I. Alcántara-Ayala 10.1007/s11629-020-6467-7
61. The Canadian Hydrological Model (CHM) v1.0: a multi-scale, multi-extent, variable-complexity hydrological model – design and overview C. Marsh et al. 10.5194/gmd-13-225-2020
62. 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
63. Real-Time Alpine Measurement System Using Wireless Sensor Networks S. Malek et al. 10.3390/s17112583
64. 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
65. Unmanned Aerial Vehicle-Based Structure from Motion Technique for Precise Snow Depth Retrieval—Implication for Optimal Ground Control Point Deployment Strategy S. Shu et al. 10.3390/rs15092297
66. Evaluating the Effects of UAS Flight Speed on Lidar Snow Depth Estimation in a Heterogeneous Landscape F. Sullivan et al. 10.3390/rs15215091
67. Fully automated snow depth measurements from time-lapse images applying a convolutional neural network M. Kopp et al. 10.1016/j.scitotenv.2019.134213
68. Application of Fixed-Wing UAV-Based Photogrammetry Data for Snow Depth Mapping in Alpine Conditions M. Masný et al. 10.3390/drones5040114
69. Mapping erosion and deposition in an agricultural landscape: Optimization of UAV image acquisition schemes for SfM-MVS B. Meinen & D. Robinson 10.1016/j.rse.2020.111666
70. Processes governing snow ablation in alpine terrain – detailed measurements from the Canadian Rockies M. Schirmer & J. Pomeroy 10.5194/hess-24-143-2020
71. Multi-scale snowdrift-permitting modelling of mountain snowpack V. Vionnet et al. 10.5194/tc-15-743-2021
72. Disturbance Mapping in Arctic Tundra Improved by a Planning Workflow for Drone Studies: Advancing Tools for Future Ecosystem Monitoring I. Eischeid et al. 10.3390/rs13214466
73. 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
74. Machine learning model for snow depth estimation using a multisensory ubiquitous platform S. Nasim et al. 10.1007/s11629-021-7186-4
75. Applications of Unmanned Aerial Vehicles in Cryosphere: Latest Advances and Prospects C. Gaffey & A. Bhardwaj 10.3390/rs12060948
76. Snowdrift Landscape Patterns: An Arctic Investigation C. Parr et al. 10.1029/2020WR027823
77. Automated Snow Extent Mapping Based on Orthophoto Images from Unmanned Aerial Vehicles T. Niedzielski et al. 10.1007/s00024-018-1843-8
78. Integrating airborne and mobile lidar data with UAV photogrammetry for rapid assessment of changing forest snow depth and cover J. Donager et al. 10.1016/j.srs.2021.100029
79. Snow depth mapping from stereo satellite imagery in mountainous terrain: evaluation using airborne laser-scanning data C. Deschamps-Berger et al. 10.5194/tc-14-2925-2020
80. IT-SNOW: a snow reanalysis for Italy blending modeling, in situ data, and satellite observations (2010–2021) F. Avanzi et al. 10.5194/essd-15-639-2023
81. Mapping snow depth on Canadian sub-arctic lakes using ground-penetrating radar A. Pouw et al. 10.5194/tc-17-2367-2023
82. Applications of ArcticDEM for measuring volcanic dynamics, landslides, retrogressive thaw slumps, snowdrifts, and vegetation heights C. Dai et al. 10.1016/j.srs.2024.100130
83. Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping L. Eberhard et al. 10.5194/tc-15-69-2021
84. UAV hyperspectral imaging for multiscale assessment of Landsat 9 snow grain size and albedo S. Skiles et al. 10.3389/frsen.2022.1038287
85. Mapping snow depth in open alpine terrain from stereo satellite imagery R. Marti et al. 10.5194/tc-10-1361-2016
86. Mapping snow depth in alpine terrain with unmanned aerial systems (UASs): potential and limitations Y. Bühler et al. 10.5194/tc-10-1075-2016