The use of PRESTO to derive model embeddings from merged data sets should be investigated. The idea is to verify if the PRESTO model embeddings could be used instead of the training samples as input to ML models.

In general, the idea is to join S1/S2/DEM training samples, with S1/S2/DEM time series extracted from PRESTO, and use the resulting embeddings instead of the training samples.