Articles | Volume 15, issue 12
Research article
09 Dec 2021
Research article |  | 09 Dec 2021

Aerodynamic roughness length of crevassed tidewater glaciers from UAV mapping

Armin Dachauer, Richard Hann, and Andrew J. Hodson

Related authors

Proglacial methane emissions driven by meltwater and groundwater flushing in a high Arctic glacial catchment
Gabrielle Emma Kleber, Leonard Magerl, Alexandra V. Turchyn, Mark Trimmer, Yizhu Zhu, and Andrew Hodson
EGUsphere,,, 2024
Short summary
Review Article: Permafrost Trapped Natural Gas in Svalbard, Norway
Thomas Birchall, Malte Jochmann, Peter Betlem, Kim Senger, Andrew Hodson, and Snorre Olaussen
The Cryosphere Discuss.,,, 2021
Preprint withdrawn
Short summary
Numerical modelling of permafrost spring discharge and open-system pingo formation induced by basal permafrost aggradation
Mikkel Toft Hornum, Andrew Jonathan Hodson, Søren Jessen, Victor Bense, and Kim Senger
The Cryosphere, 14, 4627–4651,,, 2020
Short summary
Sub-permafrost methane seepage from open-system pingos in Svalbard
Andrew J. Hodson, Aga Nowak, Mikkel T. Hornum, Kim Senger, Kelly Redeker, Hanne H. Christiansen, Søren Jessen, Peter Betlem, Steve F. Thornton, Alexandra V. Turchyn, Snorre Olaussen, and Alina Marca
The Cryosphere, 14, 3829–3842,,, 2020
Short summary
Review article: How does glacier discharge affect marine biogeochemistry and primary production in the Arctic?
Mark J. Hopwood, Dustin Carroll, Thorben Dunse, Andy Hodson, Johnna M. Holding, José L. Iriarte, Sofia Ribeiro, Eric P. Achterberg, Carolina Cantoni, Daniel F. Carlson, Melissa Chierici, Jennifer S. Clarke, Stefano Cozzi, Agneta Fransson, Thomas Juul-Pedersen, Mie H. S. Winding, and Lorenz Meire
The Cryosphere, 14, 1347–1383,,, 2020
Short summary

Related subject area

Discipline: Glaciers | Subject: Remote Sensing
Lake ice break-up in Greenland: timing and spatiotemporal variability
Christoph Posch, Jakob Abermann, and Tiago Silva
The Cryosphere, 18, 2035–2059,,, 2024
Short summary
A low-cost and open-source approach for supraglacial debris thickness mapping using UAV-based infrared thermography
Jérôme Messmer and Alexander Raphael Groos
The Cryosphere, 18, 719–746,,, 2024
Short summary
Refined glacial lake extraction in a high-Asia region by deep neural network and superpixel-based conditional random field methods
Yungang Cao, Rumeng Pan, Meng Pan, Ruodan Lei, Puying Du, and Xueqin Bai
The Cryosphere, 18, 153–168,,, 2024
Short summary
Annual to seasonal glacier mass balance in High Mountain Asia derived from Pléiades stereo images: examples from the Pamir and the Tibetan Plateau
Daniel Falaschi, Atanu Bhattacharya, Gregoire Guillet, Lei Huang, Owen King, Kriti Mukherjee, Philipp Rastner, Tandong Yao, and Tobias Bolch
The Cryosphere, 17, 5435–5458,,, 2023
Short summary
Out-of-the-box calving-front detection method using deep learning
Oskar Herrmann, Nora Gourmelon, Thorsten Seehaus, Andreas Maier, Johannes J. Fürst, Matthias H. Braun, and Vincent Christlein
The Cryosphere, 17, 4957–4977,,, 2023
Short summary

Cited articles

Abbas, M. R., Bin Rasib, A. W., Abbas, T. R., Ahmad, B. B., and Dutsenwai, H. S.: Assessment of Aerodynamic Roughness Length Using Remotely Sensed Land Cover Features and MODIS, IOP C. Ser. Earth Env., 722, 012015,, 2021. a
Agisoft LLC: Agisoft Metashape, available at:, last access: 27 July 2020. a
Bhardwaj, A., Sam, L., Akanksha, Martín-Torres, F. J., and Kumar, R.: UAVs as remote sensing platform in glaciology: Present applications and future prospects, Remote Sen. Environ., 175, 196–204,, 2016. a, b
Błaszczyk, M., Jania, J. A., and Hagen, J. O.: Tidewater glaciers of Svalbard: Recent changes and estimates of calving fluxes, Pol. Polar Res., 30, 85–142, 2009. a
Brock, B. W., Willis, I. C., Sharp, M. J., and Arnold, N. S.: Modelling seasonal and spatial variations in the surface energy balance of Haut Glacier d'Arolla, Switzerland, Ann. Glaciol., 31, 53–62,, 2000. a
Short summary
This study investigated the aerodynamic roughness length (z0) – an important parameter to determine the surface roughness – of crevassed tidewater glaciers on Svalbard using drone data. The results point out that the range of z0 values across a crevassed glacier is large but in general significantly higher compared to non-crevassed glacier surfaces. The UAV approach proved to be an ideal tool to provide distributed z0 estimates of crevassed glaciers which can be used to model turbulent fluxes.