ETD

• attributes
• gpr

Seismic attributes are essential features that have greatly enhanced the quality of seismic data interpretation, as they allow for the extraction of information that would otherwise remain hidden. Ground Penetrating Radar (GPR) is a non-invasive
geophysical technique that shares several similarities with seismic methods, which inspired the idea of applying seismic attributes to GPR data.
The main objective of this thesis is to develop MATLAB® functions for computing selected seismic attributes and apply them to real GPR datasets, in order to assess their effectiveness and understand potential advantages or limitations. In particular, different datasets acquired during a GPR survey in the north-eastern region of Tuscany (Italy), aimed at studying the evolution of coastal sand dunes, were used for the analysis.
The results of this study demonstrate the potential of applying seismic attributes to Ground Penetrating Radar (GPR) data to improve subsurface interpretation. The developed MATLAB® functions successfully enhanced the clarity and readability of
radar profiles, revealing structural and stratigraphic features that were not clearly visible in the raw data. By analyzing different classes of attributes—amplitude-based, phase-based, and geometric—it was possible to highlight variations in reflectivity,
continuity, and orientation of subsurface layers.
Although not all attributes yielded equally meaningful results, the overall approach proved effective in enhancing visualization and understanding of the internal architecture of the studied aeolian deposits. These findings confirm that seismic attribute analysis can be a valuable tool for GPR interpretation, especially when used
in conjunction with blending techniques and applied to complex sedimentary environments.