Paper Info
Title
Estimating penetration-related X-band InSAR elevation bias - A study over the Greenland ice sheet
Abstract
Accelerating melt on the Greenland ice sheet leads to dramatic changes at a global scale. Especially in the last decades, not only the monitoring, but also the quantification of these changes has gained considerably in importance. In this context, Interferometric Synthetic Aperture Radar (InSAR) systems complement existing data sources by their capability to acquire 3D information at high spatial resolution over large areas independent of weather conditions and illumination. However, penetration of the SAR signals into the snow and ice surface leads to a bias in measured height, which has to be corrected to obtain accurate elevation data. Therefore, this study purposes an easy transferable pixel-based approach for X-band penetration-related elevation bias estimation based on single-pass interferometric coherence and backscatter intensity which was performed at two test sites on the Northern Greenland ice sheet. In particular, the penetration bias was estimated using a multiple linear regression model based on TanDEM-X InSAR data and IceBridge laser-altimeter measurements to correct TanDEM-X Digital Elevation Model (DEM) scenes. Validation efforts yielded good agreement between observations and estimations with a coefficient of determination of R-2 = 68% and an RMSE of 0.68 m. Furthermore, the study demonstrates the benefits of X-band penetration bias estimation within the application context of ice sheet elevation change detection.
Year
DOI
Venue
2019
10.3390/rs11242903
REMOTE SENSING
Keywords
DocType
Volume
InSAR height,penetration bias,cryosphere,TanDEM-X,Greenland ice sheet,DEM
Journal
11
Issue
Citations 
PageRank 
24
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Sahra Abdullahi100.68
Birgit Wessel2398.15
Martin Huber3104.31
Anna Wendleder4295.99
Achim Roth515121.25
Claudia Kuenzer614228.94