Research Papers

Error analysis in the digital elevation model of Kuwait desert derived from repeat pass synthetic aperture radar interferometry

[+] Author Affiliations
Kota S. Rao, Hala K. Al Jassar

Kuwait University, Physics Department, PO Box 5969, Safat, Kuwait 13060 Kuwait

J. Appl. Remote Sens. 4(1), 043546 (September 30, 2010). doi:10.1117/1.3504170
History: Received October 4, 2009; Revised August 10, 2010; Accepted September 27, 2010; September 30, 2010; Online September 30, 2010
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Abstract

The aim of this paper is to analyze the errors in the Digital Elevation Models (DEMs) derived through repeat pass SAR interferometry (InSAR). Out of 29 ASAR images available to us, 8 are selected for this study which has unique data set forming 7 InSAR pairs with single master image. The perpendicular component of baseline (B⊥) varies between 200 to 400 m to generate good quality DEMs. The Temporal baseline (T) varies from 35 days to 525 days to see the effect of temporal decorrelation. It is expected that all the DEMs be similar to each other spatially with in the noise limits. However, they differ very much with one another. The 7 DEMs are compared with the DEM of SRTM for the estimation of errors. The spatial and temporal distribution of errors in the DEM is analyzed by considering several case studies. Spatial and temporal variability of precipitable water vapour is analysed. Precipitable water vapour (PWV) corrections to the DEMs are implemented and found to have no significant effect. The reasons are explained. Temporal decorrelation of phases and soil moisture variations seem to have influence on the accuracy of the derived DEM. It is suggested that installing a number of corner reflectors (CRs) and the use of Permanent Scatter approach may improve the accuracy of the results in desert test sites.

© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Kota S. Rao and Hala K. Al Jassar
"Error analysis in the digital elevation model of Kuwait desert derived from repeat pass synthetic aperture radar interferometry", J. Appl. Remote Sens. 4(1), 043546 (September 30, 2010). ; http://dx.doi.org/10.1117/1.3504170


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