GPS- GIS and Neural Networks for Monitoring Control, Cataloging the Prediction and Prevention in Tectonically Active Areas

Monitoring the system of active faults in Castrovillari, carried out in time by the Geomatics of the University Mediterranean of Reggio Calabria, through GPS measurement onsite on test networks, created a database of crustal movements, useful for different studies and analysis of tectonic and deformation type. With the help of the powerful spatial and temporal data processing tools offered by GIS, and integration with traditional artificial intelligence models of neural networks, we created a platform that can not only to handle the huge amount of data processing, analysis and visualization tools, but also can get the first results for predicting displacements/distortions also useful for civil protection