This master’s thesis addresses the determination of the orientation of triangular trihedral corner reflectors, referred to in the thesis as corner scatterers, for Sentinel-1 observations, as well as the identification of areas unsuitable for their installation due to radar imaging geometry and terrain. We developed a methodological procedure in which the orientation parameters are determined from the position of the corner scatterer separately for each identified Sentinel-1 acquisition geometry. When a location is covered by several relative orbits, the calculation is performed individually for each of them. We implemented the procedure in Python as an application, which enables data retrieval from the Copernicus Data Space Ecosystem, calculation, presentation and export of the results. For a selected location, the application identifies the corresponding Sentinel-1 products and groups them according to orbit direction and relative orbit number. Orbit state vectors and geolocation grid data are then extracted from their XML metadata files. Based on these data, the azimuth and elevation angle of the corner scatterer boresight, its tilt angle and the azimuths of its vertical plates are calculated. We compared the results with nominal orientations published in the SARCalNet database. For most of the analysed targets, the differences were of the order of a few degrees or less. To identify areas unsuitable for corner scatterer installation, we analysed Sentinel-1 acquisition geometry over Slovenia. Using Sentinel-1 acquisitions from the period 2014–2025, we analysed the spatial variation of image footprints for individual relative orbits and delineated the edge zones, where coverage is not constant. We also identified areas affected by radar layover and radar shadow, where detection of a corner scatterer may be hindered or impossible. These areas were compared with the locations of existing corner scatterers at selected points of the Slovenian zero-order geodetic network. The results showed that locations are suitable with respect to the analysed edge zones and geometric distortions.
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