  Modern in-orbit satellites and other available remote sensing tools have
generated a huge availability of public data waiting to be exploited in
different formats hosted on different servers. In this context, ETL formalism
becomes relevant for the integration and analysis of the combined information
from all these sources. Throughout this work, we present the theoretical and
practical foundations to build a modular analysis infrastructure that allows
the creation of ETLs to download, transform and integrate data coming from
different instruments in different formats. Part of this work is already
implemented in a Python library which is intended to be integrated into already
available workflow management tools based on acyclic-directed graphs which also
have different adapters to impact the combined data in different warehouses.
