Rob Dekker 
  
recommended to study the application of coherence imagery in a classification scheme, as a measure for the 
changeability of a surface. 
The DEM turned out to be not accurate enough compared to a photogrammetric DEM. Differences up to +80m 
occurred. The major reasons for this are the large baseline of the data set, and the accuracy of the phase unwrapping 
algorithm. Other and more suitable data sets, and another phase unwrapping algorithm are recommended. The 
availability of other data sets must be studied. Other unwrap algorithms are available from literature. 
The overall conclusion of this study is that ERS SAR imagery, in combination with change detection, segmentation, 
and interferometry, has a large potential for urban monitoring in developing countries. Despite Henderson and Xia 
(1997), ERS SAR imagery is suitable for change detection, land use classification, and population index estimation. 
However, research considering data of other radar satellites as JERS, RADARSAT, and especially future polarimetric 
satellites, is recommended. 
ACKNOWLEDGEMENTS 
Part of this work is carried out within the framework of the User Support Programme 1996-2005 (USP-2, project 
3.1/AP-04) which is implemented under the responsibility of the Netherlands Remote Sensing Board (BCRS) and the 
Space Research Organisation of the Netherlands (SRON). Other work carried out in this project is presented by Sliuzas 
et al. (2000a), and Sliuzas and Brussel (2000b). The author would like to thank R. Sliuzas, M. Brussel and B. Gorte of 
ITC, The Netherlands, and G. Mtalo and I. Mbonde of UCLAS, Tanzania, for the pleasant co-operation and support. 
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