THE DYDAS - "DYNAMIC DATA ANALYTICS SERVICES" PLATFORM FOR HPC BIG DATA ANALYTICS OF EARTH OBSERVATION AND GEOSPATIAL DATA

In this work a novel High Performance Computing Platform aimed at streamline the application of demanding Earth Observation algorithms is presented. The platform is today in the operational phase and it is opened to new users. The development of the High Performance Computing (HPC) services has been carried out during the execution of the DYDAS project, that was aimed at developing a collaborative platform for offering data, algorithms, processing and analysis services to a large number of users from different public and private user communities. The platform will also act as an e-marketplace enabling transactions for accessing data and added value services enabled by HPC and based on Big Data technologies, machine learning, AI and advanced data analytics. Such strategy has been implemented with the purpose to match demand and offer among those who own intellectual properties on data/methods for their use and those who need or want to exploit them. In this manuscript, an example of data processing using Copernicus Sentinel-1 and Sentinel-2 data in a supervised classification exercise is presented.