by Matteo Picchiani* GMATICS have developed a prototypal version of the meteorological Nowcasting module based on EUMETSAT Meteosat Second Generation (MSG) data. The characteristics of the 12 spectral channels of the SEVIRI (Spinning Enhanced Visible and InfraRed Imager) sensor, on board of the MSG satellite are reported in the following table 1. The DYDAS meteorological […]

by Matteo Picchiani* In the sphere of VISTA project, two novel ground based systems have been developed, named “VIRSO2” and “IIRc” respectively. VIRSO2 instrument has three optical cameras, two TIR and one VIS, able to acquire data simultaneously at high frequency (~7 Hz) during both day and night. In order to retrieve the SO2 amount […]

by Matteo Picchiani* In parallel to the DYDAS activities, Matteo Picchiani (of GMATICS) leaded the development of the European Space Agency Volcanic monItoring using SenTinel sensors by an integrated Approach (VISTA) founded project (https://eo4society.esa.int/projects/vista/). VISTA was carried out by GEO-K, the first spin-off of the Tor Vergata University, in collaboration with the Italian Istituto Nazionale […]

a cura di Matteo Picchiani* Il monitoraggio dei consumi del suolo e di altri cambiamenti paesaggistici è un aspetto cruciale per comprendere le cause e i cambiamenti in atto, gli effetti immediati e ritardati, nonché per pianificare gli interventi. In questo contesto, è fondamentale disporre di dati e prodotti costantemente aggiornati sull’analisi del territorio, insieme […]

by Matteo Picchiani* GMATICS, partner of the DYDAS project, has developed several forest monitoring services using Remote Sensing data and Artificial Intelligence. Among these was developed a service that routinely produces high accuracy information consistent at local and supranational level, and are based on a specific methodology that exploits Artificial Intelligence and Cloud Computing. This […]