REPRESENTATION OF ANTHROPIC HAZARD IN SOUTHERN ITALY USING AIRBORNE REMOTE SENSING

The research focuses on the integration of hyperspectral and thermal data obtained from passive airborne sensors, on the GIS platform and on the application of processing algorithms for monitoring the phenomenon of anthropogenic pollution. The study, carried out by the researchers of Benecon University Consortium, involved an area of Southern Italy, where aerial remote sensing activities were performed with the CASI-1500 hyperspectral sensor and the TABI-320 thermal sensor in 2014 and 2016. The configuration of the both hyperspectral and thermal sensors, was carried out ad hoc in order to obtain the greatest amount of data possible, compatibly with the conditions imposed by the geometric resolution of the expected pixel, by the integration times required for the correct acquisition of hyperspectral and thermal information and by the geomorphology of the territory under examination. To reduce the redundant spectral information and make the processed spectral data clearer, the PCA representation (Principal Components Analysis) was used, whereas the Reed- Xiaoli algorithm was applied in order to highlight the areas where the surface materials have a significant radiance spectrum different than the immediate surroundings. The geo-database of the research, as well as being enriched with spectral and thermal processing, was implemented with ancillary data such as digital aeronautical maps, DTM, DEM and topographic data to allow the multi- criteria analysis of the overflown areas.