GNGTS 2024 - Atti del 42° Convegno Nazionale

Session 1.3 GNGTS 2024 SAR-TOOL: A new open-source sofware for the analysis of geospatal data in volcano-tectonic felds S. D’Amico 1,3 , F. Guglielmino 2 1 Isttuto Nazionale di Geofsica e Vulcanologia, Sezione Roma2, Rome, Italy 2 Isttuto Nazionale di Geofsica e Vulcanologia, Sezione di Catania - Osservatorio Etneo, Catania, Italy 3 Department of Biological, Geological and Environmental Sciences, University of Catania, Catania, Italy Abstract Since the last decade of the twenteth century, technological advancements and the availability of open-source satellite data have signifcantly increased geospatal analyses. Several sofware programs have been developed to process satellite INSAR data, including SNAP by ESA (European Space Agency), GAMMA (Wegmüller U. & Werner C.L., 1997), Sarscape, ROI_PAC/ISCE by NASA. In parallel, various algorithms have been proposed to compare, validate and integrate the satellite data with ground-based geodetc data. In partcular, the SISTEM algorithm proposed by (Guglielmino et al., 2011) and based on elastcity theory, simultaneously integrates GNSS and INSAR data to provide 3D displacements maps of the study area. In order to (a) simplify the SISTEM pre-process work, (b) quickly analyse the outputs and (c) enhance the usability and ongoing development of SISTEM, we have developed SAR-TOOL, an open-source sofware in the Python language. Furthermore, we have developed an intuitve and lightweight GUI (Graphical User Interface), optmised to automatcally adapt to diferent screen resolutons, ensuring an optmal user experience on any desktop, with ease of use designed especially for those without knowledge of computer programming. The GUI is structured with various frames to facilitate diferent operatons on geospatal data, making the user interface organised and easy to navigate (Fig. 1). From the SAR-TOOL GUI is possible: • Visualise and convert the user's raster/vector data into various geospatal formats; • Easily project data into various geographical reference systems; • Crop and change the resoluton of raster data; • Homogenise input data through the development of a data intersecton algorithm, which can then be supplied to the SISTEM algorithm; • Generate synthetc data (DEM, synthetc Mogi source model (Mogi K., 1958) and synthetc GPS points) to associate with the modelled surface, in order to study the efects of infaton/defaton cycles as the parameters and positon of the spherical source change (Fig. 2);