Articles | Volume 16, issue 6
Research article
15 Jun 2022
Research article |  | 15 Jun 2022

Correlation dispersion as a measure to better estimate uncertainty in remotely sensed glacier displacements

Bas Altena, Andreas Kääb, and Bert Wouters

Related authors

Brief communication: Detection of glacier surge activity using cloud computing of Sentinel-1 radar data
Paul Willem Leclercq, Andreas Kääb, and Bas Altena
The Cryosphere, 15, 4901–4907,,, 2021
Short summary
Possible impacts of a 1000 km long hypothetical subglacial river valley towards Petermann Glacier in northern Greenland
Christopher Chambers, Ralf Greve, Bas Altena, and Pierre-Marie Lefeuvre
The Cryosphere, 14, 3747–3759,,, 2020
Short summary
River-ice and water velocities using the Planet optical cubesat constellation
Andreas Kääb, Bas Altena, and Joseph Mascaro
Hydrol. Earth Syst. Sci., 23, 4233–4247,,, 2019
Short summary
B. Altena, O. N. Haga, C. Nuth, and A. Kääb
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1723–1727,,, 2019
Extracting recent short-term glacier velocity evolution over southern Alaska and the Yukon from a large collection of Landsat data
Bas Altena, Ted Scambos, Mark Fahnestock, and Andreas Kääb
The Cryosphere, 13, 795–814,,, 2019
Short summary

Related subject area

Discipline: Glaciers | Subject: Remote Sensing
High-resolution debris-cover mapping using UAV-derived thermal imagery: limits and opportunities
Deniz Tobias Gök, Dirk Scherler, and Leif Stefan Anderson
The Cryosphere, 17, 1165–1184,,, 2023
Short summary
Automated ArcticDEM iceberg detection tool: insights into area and volume distributions, and their potential application to satellite imagery and modelling of glacier–iceberg–ocean systems
Connor J. Shiggins, James M. Lea, and Stephen Brough
The Cryosphere, 17, 15–32,,, 2023
Short summary
Climatic control on seasonal variations of glacier surface velocity
Ugo Nanni, Dirk Scherler, Francois Ayoub, Romain Millan, Frederic Herman, and Jean-Philippe Avouac
EGUsphere,,, 2022
Short summary
Glacier extraction based on high-spatial-resolution remote-sensing images using a deep-learning approach with attention mechanism
Xinde Chu, Xiaojun Yao, Hongyu Duan, Cong Chen, Jing Li, and Wenlong Pang
The Cryosphere, 16, 4273–4289,,, 2022
Short summary
TermPicks: a century of Greenland glacier terminus data for use in scientific and machine learning applications
Sophie Goliber, Taryn Black, Ginny Catania, James M. Lea, Helene Olsen, Daniel Cheng, Suzanne Bevan, Anders Bjørk, Charlie Bunce, Stephen Brough, J. Rachel Carr, Tom Cowton, Alex Gardner, Dominik Fahrner, Emily Hill, Ian Joughin, Niels J. Korsgaard, Adrian Luckman, Twila Moon, Tavi Murray, Andrew Sole, Michael Wood, and Enze Zhang
The Cryosphere, 16, 3215–3233,,, 2022
Short summary

Cited articles

Altena, B. and Kääb, A.: Elevation change and improved velocity retrieval using orthorectified optical satellite data from different orbits, Remote Sens., 9, 300,, 2017. a
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,, 2019. a, b
Anthony, S. M. and Granick, S.: Image analysis with rapid and accurate two-dimensional Gaussian fitting, Langmuir, 25, 8152–8160,, 2009. a, b
Bhattacharya, S., Charonko, J., and Vlachos, P.: Particle image velocimetry (PIV) uncertainty quantification using moment of correlation (MC) plane, Meas. Sci. Technol., 29, 115301,, 2018. a
Brinkerhoff, D. and O'Neel, S.: Velocity variations at Columbia Glacier captured by particle filtering of oblique time-lapse images, arXiv preprint arXiv:1711.05366, (last access: 1 June 2022), 2017. a
Short summary
Repeat overflights of satellites are used to estimate surface displacements. However, such products lack a simple error description for individual measurements, but variation in precision occurs, since the calculation is based on the similarity of texture. Fortunately, variation in precision manifests itself in the correlation peak, which is used for the displacement calculation. This spread is used to make a connection to measurement precision, which can be of great use for model inversion.