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To estimate the equivalent CO2 absorbed by a forest, it is necessary to know the characteristics of the trees that compose it, such as height or diameter (dbh).
By using machine learning algorithms combined with tree key characteristics extracted from remote sensing data it is possible to estimate the forest carbon storage.