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generate embeddings (non-ts) there with one of the proven models
train seco model on mozambique
compare embeddings with county-level stats
and coarse land use labels
this way, if it fails ... we at least have the code for embedding comparision on a grouped level than can be applied everywhere
if it works... we have smth to show in africa
this way, if it fails ... we at least have the code for embedding comparision on a grouped level than can be applied everywhere
if it works... we have smth to show in africa