The implementation of a specific hybrid AI paradigm for EO, Time Series in fusion with complementary, heterogeneous data or observations that will hierarchically structure the information sources will offer an enhanced perspective of the biophysical variables derived for Earth monitoring. Historical monitoring of these variables paves the way for prediction, hence raising great perspectives to submit proposals in the frame of the 2nd Pillar- Natural Resources, Agriculture and Environment.
