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This is a public repository for the AI4Land code for high-resolution historical reconstruction Land cover (LC) & Leaf Area Index (LAI) with AI/Machine Learning.

Some tutorials/examples on how to deal with relatively large datasets on MareNostrum clusters, using python (e.g. Dask).

A set of different functionalities to calculate from high frequency files (1hourly to 5days) different statistical output in both observations and model outputs.

Library that implements various computationally light methods such as Gaussian plume inversion, cross sectional flux method, integrated mass enhancement method and divergence method.

Library that implements various computationally light methods such as Gaussian plume inversion, cross sectional flux method, integrated mass enhancement method and divergence method.