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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 Braun
  • , Liss M. Andreassen
  • , Joaquín 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

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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 approaches. 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 to enhance inter-comparison and empower physical process insights across glacier elevation-change studies.
Original languageEnglish
Pages (from-to)3195-3230
Number of pages36
JournalThe Cryosphere
Volume18
Issue number7
Early online date16 Jul 2024
DOIs
Publication statusPublished (in print/issue) - 16 Jul 2024

Bibliographical note

Publisher Copyright:
© 2024 Livia Piermattei et al.

Data Availability Statement

The experiment data provided to the participants, as well as the validation data can be accessed from Zenodo (https://doi.org/10.5281/zenodo.12620977, Piermattei et al., 2024) or from the original data providers: Airborne validation data for Hintereis (2010: https://doi.org/10.5281/zenodo.8359619, Prinz et al., 2023; 2019: https://www.realitymaps.de/, RealityMaps, 2023), Aletsch (2011: Ginzler and Hobi, 2015; 2017: Swisstopo, 2023), Vestisen (2008 and 2020: https://doi.org/10.58059/9w4a-9r24, Andreassen and Elvehøy, 2023), SRTM DEM (https://doi.org/10.5066/F7PR7TFT, USGS, 2017), Copernicus DEM (https://doi.org/10.5270/ESA-c5d3d65, ESA and Airbus, 2022), glacier outlines (https://doi.org/10.7265/N5-RGI-60, RGI Consortium, 2017), and mass-balance observations (https://doi.org/10.5904/wgms-fog-2021-05, WGMS, 2021). ASTER L1A data are available from the EarthData portal (https://doi.org/10.5067/ASTER/AST_L1A.003, ASTER Science Team, 2001), and the DEMs can be processed from the L1A granules with Ames Stereo Pipelines (DEMs processed from a batch of ASTER L1A images using Ames Stereo Pipelines (ASP), accessed from GitHub, 2023; https://github.com/FannyBrun/ASTER_DEM_from_L1A# 75aster_dem_from_l1a, Brun, 2023). Co-registered single-look slant range complex (CoSSC) data of the TanDEM-X (DLR-IMF, 2012) mission are available from the German Aerospace Center (DLR) archive EOWEB GeoPortal (EOWEB GeoPortal, 2023; https://eoweb.dlr.de/egp/) through the project XTI_GLAC0264.

Funding

The study was carried out as a community effort with partial support from IACS and from the following projects of participants: Liss Marie Andreassen received support within the project \u201CRegional massebalanseestimat av norske breer\u201D (no. N80524); Etienne Berthier received support from the French Space Agency (CNES); Caitlyn Florentine, Christopher McNeil, and Louis Sass received support from the U.S. Geological Survey Ecosystems Climate R&D Program, Benchmark Glacier Project (USGS); Romain Hugonnet received support from the University of Toulouse; Romain Hugonnet and Matthias Huss received support from the Swiss National Science Foundation (grant no. 184634); Livia Piermattei, D\u00E9sir\u00E9e Treichler, and Andreas K\u00E4\u00E4b received support from the ESA project Glaciers_cci (grant no. 4000127593/19/I-NB); D\u00E9sir\u00E9e Treichler received support from the Research Council of Norway projects MASSIVE (grant no. 315971) and SNOWDEPTH (grant no. 325519); Andreas K\u00E4\u00E4b received support from the ESA EE10 Harmony (grant no. 4000135083/21/NL/FF/ab); Michael Zemp received support from the Federal Office of Meteorology and Climatology MeteoSwiss within the framework of GCOS Switzerland; Matthias H. Braun and Christian Sommer received support from the Deutsche Forschungsgemeinschaft (grant no. PN 313916628); and Dana Floricioiu and Lukas Krieger received support from the DLR project \u201CPolar Monitor\u201D.

FundersFunder number
U.S. Geological Survey
Universite de Toulouse
315971
325519
184634
4000135083/21/NL/FF/ab
European Space Agency - ESA4000127593/19/I-NB
PN 313916628

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 13 - Climate Action
      SDG 13 Climate Action

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