Solar Radiance Estimation by Means of MeteoSat 2nd Generation and Neural Processing: A Vineyard Precision Farming Case

We propose the use of MSG images for local ground radiance estimation. To this end, first the presence of clouds must be detected, then the satellite measurements must be correlated with measurements at ground. A Cloud Detection Net (CDN) algorithm has been implemented for the first task, while time series of radiance measured at ground by the National Research Council's Institute of Atmospheric Sciences and Climate have been compared with the MSG radiance measures. The joint use of ground and satellite radiance values led to the development of a Radiance Estimation Net (REN) algorithm yielding space-based estimates of the radiance on the field.