Articles | Volume 12, issue 11
The Cryosphere, 12, 3477–3497, 2018
https://doi.org/10.5194/tc-12-3477-2018
The Cryosphere, 12, 3477–3497, 2018
https://doi.org/10.5194/tc-12-3477-2018

Research article 08 Nov 2018

Research article | 08 Nov 2018

Repeat mapping of snow depth across an alpine catchment with RPAS photogrammetry

Todd A. N. Redpath et al.

Related authors

Characterising spatio-temporal variability in seasonal snow cover at a regional scale from MODIS data: the Clutha Catchment, New Zealand
Todd A. N. Redpath, Pascal Sirguey, and Nicolas J. Cullen
Hydrol. Earth Syst. Sci., 23, 3189–3217, https://doi.org/10.5194/hess-23-3189-2019,https://doi.org/10.5194/hess-23-3189-2019, 2019
Short summary

Related subject area

Discipline: Snow | Subject: Remote Sensing
Snow depth time series retrieval by time-lapse photography: Finnish and Italian case studies
Marco Bongio, Ali Nadir Arslan, Cemal Melih Tanis, and Carlo De Michele
The Cryosphere, 15, 369–387, https://doi.org/10.5194/tc-15-369-2021,https://doi.org/10.5194/tc-15-369-2021, 2021
Short summary
Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping
Lucie A. Eberhard, Pascal Sirguey, Aubrey Miller, Mauro Marty, Konrad Schindler, Andreas Stoffel, and Yves Bühler
The Cryosphere, 15, 69–94, https://doi.org/10.5194/tc-15-69-2021,https://doi.org/10.5194/tc-15-69-2021, 2021
Short summary
Simulating optical top-of-atmosphere radiance satellite images over snow-covered rugged terrain
Maxim Lamare, Marie Dumont, Ghislain Picard, Fanny Larue, François Tuzet, Clément Delcourt, and Laurent Arnaud
The Cryosphere, 14, 3995–4020, https://doi.org/10.5194/tc-14-3995-2020,https://doi.org/10.5194/tc-14-3995-2020, 2020
Short summary
Parameterizing anisotropic reflectance of snow surfaces from airborne digital camera observations in Antarctica
Tim Carlsen, Gerit Birnbaum, André Ehrlich, Veit Helm, Evelyn Jäkel, Michael Schäfer, and Manfred Wendisch
The Cryosphere, 14, 3959–3978, https://doi.org/10.5194/tc-14-3959-2020,https://doi.org/10.5194/tc-14-3959-2020, 2020
Short summary
Mapping avalanches with satellites – evaluation of performance and completeness
Elisabeth D. Hafner, Frank Techel, Silvan Leinss, and Yves Bühler
The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-272,https://doi.org/10.5194/tc-2020-272, 2020
Revised manuscript accepted for TC
Short summary

Cited articles

Albani, M. and Klinkenberg, B.: A spatial filter for the removal of striping artifacts in digital elevation models, Photogramm. Eng. Remote, 69, 755–765, https://doi.org/10.14358/PERS.69.7.755, 2003. 
Anderson, B. T., McNamara, J. P., Marshall, H.-P., and Flores, A. N.: Insights into the physical processes controlling correlations between snow distribution and terrain properties, Water. Resour. Res., 50, 4545–4563, https://doi.org/10.1002/2013WR013714, 2014. 
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 Sensing, 10, 1–16, https://doi.org/10.3390/rs10050765, 2018. 
Bair, E. H., Rittger, K., Davis, R. E., Painter, T. H., and Dozier, J.: Validating reconstruction of snow water equivalent in California's Sierra Nevada using measurements from the NASA Airborne Snow Observatory, Water. Resour. Res., 52, 8437–8460, https://doi.org/10.1002/2016WR018704, 2016. 
Berthier, E., Arnaud, Y., Kumar, R., Ahmad, S., Wagnon, P., and Chevallier, P.: Remote sensing estimates of glacier mass balances in the Himachal Pradesh (Western Himalaya, India), Remote Sens. Environ., 108, 327–338, https://doi.org/10.1016/j.rse.2006.11.017, 2007. 
Download
Short summary
A remotely piloted aircraft system (RPAS) is evaluated for mapping seasonal snow depth across an alpine basin. RPAS photogrammetry performs well at providing maps of snow depth at high spatial resolution, outperforming field measurements for resolving spatial variability. Uncertainty and error analysis reveal limitations and potential pitfalls of photogrammetric surface-change analysis. Ultimately, RPAS can be a useful tool for understanding snow processes and improving snow modelling efforts.