Articles | Volume 16, issue 12
https://doi.org/10.5194/tc-16-4907-2022
https://doi.org/10.5194/tc-16-4907-2022
Research article
 | 
08 Dec 2022
Research article |  | 08 Dec 2022

Assessing the seasonal evolution of snow depth spatial variability and scaling in complex mountain terrain

Zachary S. Miller, Erich H. Peitzsch, Eric A. Sproles, Karl W. Birkeland, and Ross T. Palomaki

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Cited articles

Adams, M., Bühler, Y., and Fromm, R.: Multitemporal Accuracy and Precision Assessment of Unmanned Aerial System Photogrammetry for Slope-Scale Snow Depth Maps in Alpine Terrain, Pure Appl. Geophys., 175, 3303–3324, https://doi.org/10.1007/s00024-017-1748-y, 2018. 
Agisoft: Agisoft Metashape Professional (Version 1.6.6), Agisoft, 2020. 
Alidoost, F. and Arefi, H.: Comparison of UAS-based photogrammetry software for 3D point cloud generation: a survey over a historical site, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4/W4, 55–61, https://doi.org/10.5194/isprs-annals-IV-4-W4-55-2017, 2017. 
Anderton, S. P., White, S. M., and Alvera, B.: Evaluation of spatial variability in snow water equivalent for a high mountain catchment, Hydrol. Process., 18, 435–453, https://doi.org/10.1002/hyp.1319, 2004. 
Avanzi, F., Bianchi, A., Cina, A., De Michele, C., Maschio, P., Pagliari, D., Passoni, D., Pinto, L., Piras, M., and Rossi, L.: Centimetric Accuracy in Snow Depth Using Unmanned Aerial System Photogrammetry and a MultiStation, Remote Sens.-Basel, 10, 765, https://doi.org/10.3390/rs10050765, 2018. 
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Short summary
Snow depth varies across steep, complex mountain landscapes due to interactions between dynamic natural processes. Our study of a winter time series of high-resolution snow depth maps found that spatial resolutions greater than 0.5 m do not capture the complete patterns of snow depth spatial variability at a couloir study site in the Bridger Range of Montana, USA. The results of this research have the potential to reduce uncertainty associated with snowpack and snow water resource analysis.