ADVANCED METHODOLOGIES FOR THE ANALYSIS, INTEGRATION AND OPTIMIZATION OF PRISMA MISSION PRODUCTS

In the framework of the Italian Space Agency (ASI) call for scientific studies supporting PRISMA mission, a project concerning the development of a set of algorithms to pre-process PRISMA data/images has been proposed in order to improve the data quality through the joint use of the PRISMA panchromatic and hyperspectral data. The main objective was to exploit PRISMA capabilities deriving from its novel optical configuration, in which the panchromatic camera and the hyperspectral sensor share the same input optical system. To this aim the activity will start on the basis of simulated PRISMA data/images and will continue after the launch with the real raw data. In this paper, a review of the algorithms and methodologies proposed to ASI will be presented and discussed focusing on their potential use in such applications as burnt area detection. 1