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

Kota S. Rao; Hala K. Al-Jassar

doi:10.1117/1.3504170

1 September 2010 Error analysis in the digital elevation model of Kuwait desert derived from repeat pass synthetic aperture radar interferometry

Kota S. Rao, Hala K. Al-Jassar

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 4, Issue 1, 043546 (September 2010). https://doi.org/10.1117/1.3504170

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.

Citation Download 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," Journal of Applied Remote Sensing 4(1), 043546 (1 September 2010). https://doi.org/10.1117/1.3504170

Published: 1 September 2010

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available