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D-InSAR is a powerful active remote sensing method to detect and measure deformations on the Earth’s surface, such as landslides and subsidence, with an accuracy of a few millimeters. However, as a consequence of the inclined imaging geometry (the illumination of the Earth's surface by the air- or satellite-borne radar sensor is done obliquely downward) areas with a topographic relief (where landslides usually occur) appear heavily distorted in the radar image. Thereby slopes inclined towards the radar appear shortened (foreshortening) and in extreme even can cause an overlapping of different radar signals (layover effect); slopes oriented away from the radar seem stretched (elongation) or even can be shadowed by a steep mountain (shadowing). These effects limit or even prohibit the use of a radar image for interferometric applications. To address this issue I am working on the development of a GIS-routine to accurately predict the areas in which layover and shadowing will occur, prior to recording the area of interest. Further aspects of this procedure are the calculation of the measurable percentage of movement of a potential landslide and the classification of the main types of land cover in regard to the applicability of the D-InSAR-technique.