the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Observing glacier elevation changes from spaceborne optical and radar sensors – an inter-comparison experiment using ASTER and TanDEM-X data
Livia Piermattei
Michael Zemp
Christian Sommer
Fanny Brun
Matthias H. Braun
Liss M. Andreassen
Joaquín M. C. Belart
Etienne Berthier
Atanu Bhattacharya
Laura Boehm Vock
Tobias Bolch
Amaury Dehecq
Inés Dussaillant
Daniel Falaschi
Caitlyn Florentine
Dana Floricioiu
Christian Ginzler
Gregoire Guillet
Romain Hugonnet
Matthias Huss
Andreas Kääb
Owen King
Christoph Klug
Friedrich Knuth
Lukas Krieger
Jeff La Frenierre
Robert McNabb
Christopher McNeil
Rainer Prinz
Louis Sass
Thorsten Seehaus
David Shean
Désirée Treichler
Anja Wendt
Ruitang Yang
Abstract. Observations of glacier mass changes are key to understanding the response of glaciers to climate change and related impacts, such as regional runoff, ecosystem changes, and global sea-level rise. Spaceborne optical and radar sensors make it possible to quantify glacier elevation changes, and thus multi-annual mass changes, on a regional and global scale. However, estimates from a growing number of studies show a wide range of results with differences often beyond uncertainty bounds. Here, we present the outcome of a community-based inter-comparison experiment using spaceborne optical stereo (ASTER) and synthetic aperture radar interferometry (TanDEM-X) data to estimate elevation changes for defined glaciers and target periods that pose different assessment challenges. Using provided or self-processed digital elevation models (DEMs) for five test sites, 12 research groups provided a total of 97 spaceborne elevation-change datasets using various processing strategies. Validation with airborne data showed that using an ensemble estimate is promising to reduce random errors from different instruments and processing methods, but still requires a more comprehensive investigation and correction of systematic errors. We found that scene selection, DEM processing, and co-registration have the biggest impact on the results. Other processing steps, such as treating spatial data voids, differences in survey periods, or radar penetration, can still be important for individual cases. Future research should focus on testing different implementations of individual processing steps (e.g. co-registration) and addressing issues related to temporal corrections, radar penetration, glacier area changes, and density conversion. Finally, there is a clear need for our community to develop best practices, use open, reproducible software, and assess overall uncertainty in order to enhance inter-comparison and empower physical process insights across glacier elevation-change studies.
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Livia Piermattei et al.
Status: open (until 12 Jan 2024)
Livia Piermattei et al.
Livia Piermattei et al.
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