The PRISMA image, a 30 km x 30 km spotlight acquisition, was processed within the ASI project " Sviluppo di Prodotti Iperspettrali Prototipali Evoluti " whose main objective is the prototyping of a series of L3 / L4 level added value products derived from hyperspectral data processing. Among the prototypes developed there is the “Vegetation Indicators”, which aims to extract the following biophysical variables for the crop characterization and the health status assessment. These are: Leaf area index (LAI), Absorbed fraction of photosynthetically active radiation (FAPAR), Vegetation cover fraction (FCOVER) and Chlorophyll ab (LCC).
The figure shows the Maccarese site, located within a coastal agricultural area owned by Maccarese SpA in the North of Rome. The main crops growing during the year are maize (silage), small grain cereals (winter wheat and durum wheat, barley, triticale), alfalfa, field bean, forage crops. The developed prototype combines radiative transfer models and Machine Learning Regression models. It was trained following a hybrid approach and, was applied to the PRISMA image of June 27, 2021, for the estimation of the chlorophyll content at the leaf level (right).
Data/Information generated by e-GEOS, Centro Nazionale delle Ricerche-Istituto di Metodologie per l’Analisi Ambientale (CNR-IMAA), Università degli Studi della Tuscia, under an ASI License to Use; Original PRISMA Product - © ASI – (2021).
