Time Series Analysis of the Digital Elevation Model of Kuwait Derived from Synthetic Aperture Radar Interferometry

  • K. S. Rao
  • Hala K. Al Jassar
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 43)


The digital elevation model derived from SAR Interferometry is prone to atmospheric, penetration into soil medium, system noise and decorrelation errors. Eight ASAR images are selected for this study which have unique data set forming 7 InSAR pairs with single master image. It is expected that all the DEMs should have the same elevation values spatially with in the noise limits. However, they differ very much with one another beyond the noise levels indicating the effects of atmosphere and other disturbances. The 7 DEMs are compared with the DEM of SRTM for the estimation of errors. The spatial and temporal distribution of errors in DEM are analyzed by considering several case studies.


Digital Elevation Model SAR Interferometry phases penetration depth 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Zebker, H.A., Goldstein, R.M.: Topographic mapping from interferometric synthetic aperture radar observations. Journal of Geophysical Research 91(B5), 4993–4999 (1986)CrossRefGoogle Scholar
  2. 2.
    Hanssen, R.F.: Radar interferometry: data interpretation and error analysis, vol. xviii, 308 p. Kluwer Academic, Dordrecht (2001)CrossRefGoogle Scholar
  3. 3.
    Hanssen, R.F.: Atmospheric heterogeneities in ERS tendem SAR interferometry, 136 p. Delft University press, Delft (1998)Google Scholar
  4. 4.
    Li, Z.: Correction of atmospheric water vapour effects on repeat-pass SAR interfe-rferometry using GPS, MODIS and MERIS data. Ph. D. thesis, Department of geomatic Engineering, University college London (2005)Google Scholar
  5. 5.
    Al Jassar, H.K., Rao, K.S., Sabbah, I.: A model for the retrieval and monitoring of soil moisture over desert area of Kuwait. International journal of remote sensing 27(1-2), 329–348 (2006)CrossRefGoogle Scholar
  6. 6.
    Rao, K.S., Kumar, V.P.B., Al Jassar, H.K.: An iterative technique to estimate baseline parameters in SAR Interferometry, Kuwait. Journal of Science and Engineering 34(2a), 91–109 (2007)Google Scholar
  7. 7.
    Rao, K.S., Phalke, S.M., Sakalley, J., Al Jassar, H.K.: Assessment of Geo-coding and Height Accuracy of the DEM derived from preliminary data sets of X-ba-nd SRTM. Journal of the Indian Society of Remote Sensing 34(IV), 369–375 (2006)CrossRefGoogle Scholar
  8. 8.
    Marc, P.M., Elfatih, A.B.E.: The Hydroclimatology of Kuwait: Explaining Variability of Rainfall at Seasonal and Interannual Timescales (2008), doi:10.1175/2008JHM952.1,
  9. 9.
    Al Jassar, H.K., Rao, K.S.: Validation of soil moisture retrieval models of Aqua satellite (AMSR-E) over Kuwait desert area. International Journal of Remote Sensing (will appear in the issue of 2010) (2010)Google Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2010

Authors and Affiliations

  • K. S. Rao
    • 1
  • Hala K. Al Jassar
    • 1
  1. 1.Physics DepartmentKuwait UniversitySafatKuwait

Personalised recommendations