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Next task for future work is to find an improvement for the 
algorithm, which would deal better with the estimation of 
referencing errors. 
Better results would be probably also achieved in connection 
with other measurements, such as GPS measurements or the 
method of Permanent Scatterers. 
It would be very helpful as well to estimate the influence of the 
atmosphere after adjustment and to eliminate it before further 
processing even if the atmospheric influence is expected to be 
relatively small. 
ACKNOWLEDGEMENTS 
The data were provided by ESA within project 3423: Repeat- 
pass interferometry used for landslide and land subsidence 
detection in the undermined area and in the area with open 
brown coal mines. We have been using the orbits of the Delft 
Institute for Earth-Oriented Space Research, Delft University of 
Technology, the Netherlands. 
REFERNECES 
Berardino, P., Fomaro, G., Lanari, R., Sansosti, E., 2002. A 
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2383. 
Hanssen, R. F., 2001. Radar interferometry: Data Interpretation 
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Hlavacova, I., 2008. Interferometric stacks in partially coherent 
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Usai, S., 2004. A Least Squares Databsase Approach for SAR 
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