Articles | Volume 15, issue 10
https://doi.org/10.5194/tc-15-4901-2021
https://doi.org/10.5194/tc-15-4901-2021
Brief communication
 | 
21 Oct 2021
Brief communication |  | 21 Oct 2021

Brief communication: Detection of glacier surge activity using cloud computing of Sentinel-1 radar data

Paul Willem Leclercq, Andreas Kääb, and Bas Altena

Related authors

Spatio-temporal information propagation using sparse observations in hyper-resolution ensemble-based snow data assimilation
Esteban Alonso-González, Kristoffer Aalstad, Norbert Pirk, Marco Mazzolini, Désirée Treichler, Paul Leclercq, Sebastian Westermann, Juan Ignacio López-Moreno, and Simon Gascoin
Hydrol. Earth Syst. Sci., 27, 4637–4659, https://doi.org/10.5194/hess-27-4637-2023,https://doi.org/10.5194/hess-27-4637-2023, 2023
Short summary
How accurate are estimates of glacier ice thickness? Results from ITMIX, the Ice Thickness Models Intercomparison eXperiment
Daniel Farinotti, Douglas J. Brinkerhoff, Garry K. C. Clarke, Johannes J. Fürst, Holger Frey, Prateek Gantayat, Fabien Gillet-Chaulet, Claire Girard, Matthias Huss, Paul W. Leclercq, Andreas Linsbauer, Horst Machguth, Carlos Martin, Fabien Maussion, Mathieu Morlighem, Cyrille Mosbeux, Ankur Pandit, Andrea Portmann, Antoine Rabatel, RAAJ Ramsankaran, Thomas J. Reerink, Olivier Sanchez, Peter A. Stentoft, Sangita Singh Kumari, Ward J. J. van Pelt, Brian Anderson, Toby Benham, Daniel Binder, Julian A. Dowdeswell, Andrea Fischer, Kay Helfricht, Stanislav Kutuzov, Ivan Lavrentiev, Robert McNabb, G. Hilmar Gudmundsson, Huilin Li, and Liss M. Andreassen
The Cryosphere, 11, 949–970, https://doi.org/10.5194/tc-11-949-2017,https://doi.org/10.5194/tc-11-949-2017, 2017
Short summary
Brief Communication: Global reconstructions of glacier mass change during the 20th century are consistent
B. Marzeion, P. W. Leclercq, J. G. Cogley, and A. H. Jarosch
The Cryosphere, 9, 2399–2404, https://doi.org/10.5194/tc-9-2399-2015,https://doi.org/10.5194/tc-9-2399-2015, 2015
Short summary
A data set of worldwide glacier length fluctuations
P. W. Leclercq, J. Oerlemans, H. J. Basagic, I. Bushueva, A. J. Cook, and R. Le Bris
The Cryosphere, 8, 659–672, https://doi.org/10.5194/tc-8-659-2014,https://doi.org/10.5194/tc-8-659-2014, 2014

Related subject area

Discipline: Glaciers | Subject: Remote Sensing
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, https://doi.org/10.5194/tc-18-719-2024,https://doi.org/10.5194/tc-18-719-2024, 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, https://doi.org/10.5194/tc-18-153-2024,https://doi.org/10.5194/tc-18-153-2024, 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, https://doi.org/10.5194/tc-17-5435-2023,https://doi.org/10.5194/tc-17-5435-2023, 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, https://doi.org/10.5194/tc-17-4957-2023,https://doi.org/10.5194/tc-17-4957-2023, 2023
Short summary
GLAcier Feature Tracking testkit (GLAFT): a statistically and physically based framework for evaluating glacier velocity products derived from optical satellite image feature tracking
Whyjay Zheng, Shashank Bhushan, Maximillian Van Wyk De Vries, William Kochtitzky, David Shean, Luke Copland, Christine Dow, Renette Jones-Ivey, and Fernando Pérez
The Cryosphere, 17, 4063–4078, https://doi.org/10.5194/tc-17-4063-2023,https://doi.org/10.5194/tc-17-4063-2023, 2023
Short summary

Cited articles

Altena, B., Scambos, T., Fahnestock, M., and Kääb, A.: Extracting recent short-term glacier velocity evolution over southern Alaska and the Yukon from a large collection of Landsat data, The Cryosphere, 13, 795–814, https://doi.org/10.5194/tc-13-795-2019, 2019. a
Copland, L., Sharp, M. J., and Dowdeswell, J. A.: The distribution and flow characteristics of surge-type glaciers in the Canadian High Arctic, Ann. Glaciol., 36, 73–81, https://doi.org/10.3189/172756403781816301, 2003. a
Gardelle, J., Berthier, E., Arnaud, Y., and Kääb, A.: Region-wide glacier mass balances over the Pamir–Karakoram–Himalaya during 1999–2011, The Cryosphere, 7, 1263–1286, https://doi.org/10.5194/tc-7-1263-2013, 2013. a
Gardner, A. S., Moholdt, G., Scambos, T., Fahnstock, M., Ligtenberg, S., van den Broeke, M., and Nilsson, J.: Increased West Antarctic and unchanged East Antarctic ice discharge over the last 7 years, The Cryosphere, 12, 521–547, https://doi.org/10.5194/tc-12-521-2018, 2018. a
Gardner, A. S., Fahnestock, M. A., and Scambos, T. A.: ITS LIVE Regional Glacier and Ice Sheet Surface Velocities, National Snow and Ice Data Center [data], https://doi.org/10.5067/6II6VW8LLWJ7, 2020. a
Download
Short summary
In this study we present a novel method to detect glacier surge activity. Surges are relevant as they disturb the link between glacier change and climate, and studying surges can also increase understanding of glacier flow. We use variations in Sentinel-1 radar backscatter strength, calculated with the use of Google Earth Engine, to detect surge activity. In our case study for the year 2018–2019 we find 69 cases of surging glaciers globally. Many of these were not previously known to be surging.