The European Union aims at becoming the first climate-neutral continent by 2050. It is committed to a 55% reduction in emissions by 2030 compared to 1990 levels. Studying climate changes is therefore fundamental to contribute to reaching this goal. Satellite data and products are a valuable tool for monitoring the life of our planet. They have been proved to be effective, e.g., for sensing parameters over ocean, ice, and land, and to contribute to characterizing Essential Climate Variables (ECVs). ECVs are key parameters of the Earth system to help to understand climate change and to guide mitigation measures.

AIDA aims at proposing advanced AI- and DIP-driven temporal and spatial data augmentation procedures for satellite data collected in the frame of space missions for Earth observation, which can be used to systemically and globally retrieve bio-geophysical variables connected to ECVs. Augmented data are used to enhance state-of-art processing implemented to retrieve soil moisture and forest biomass information. Data augmentation techniques offer unique opportunities to study climate change; understanding and limiting its risks is a gambit that requires responsive, evidence-based, and effective governance to be a winning strategy.