Articles | Volume 13, issue 3
https://doi.org/10.5194/tc-13-895-2019
https://doi.org/10.5194/tc-13-895-2019
Research article
 | 
15 Mar 2019
Research article |  | 15 Mar 2019

Sensitivity of glacier volume change estimation to DEM void interpolation

Robert McNabb, Christopher Nuth, Andreas Kääb, and Luc Girod

Viewed

Total article views: 5,493 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,640 1,766 87 5,493 98 101
  • HTML: 3,640
  • PDF: 1,766
  • XML: 87
  • Total: 5,493
  • BibTeX: 98
  • EndNote: 101
Views and downloads (calculated since 01 Oct 2018)
Cumulative views and downloads (calculated since 01 Oct 2018)

Viewed (geographical distribution)

Total article views: 5,493 (including HTML, PDF, and XML) Thereof 4,959 with geography defined and 534 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 May 2024
Download
Short summary
Estimating glacier changes involves measuring elevation changes, often using elevation models derived from satellites. Many elevation models have data gaps (voids), which affect estimates of glacier change. We compare 11 methods for interpolating voids, finding that some methods bias estimates of glacier change by up to 20 %, though most methods have a smaller effect. Some methods produce reliable results even with large void areas, suggesting that noisy elevation data are still useful.