Twin Earth Methodologies for Biodiversity, Natural Hazards, and Urbanization

Anthropogenic climate changes pose severe threats to the Earth system, its ecosystems and human society. Effective strategies must be developed to mitigate further adverse changes and adapt to inevitable impacts, particularly the risks arising from an increase in extreme events. In doing so, transformation pathways toward sustainable Earth stewardship urgently need to be identified from global to local scales.

The TUM Innovation Network EarthCare is an explorative and interdisciplinary study that bridges the knowledge gap between the use of Artificial Intelligence and Earth observation data for our planet’s sustainability.

Under this general goal, EarthCare explores three main directions:

- Methodologies for retrieving geoinformation from massive amount of Earth observation data;

- Methodologies for creating hybrid earth system models of compartments of the Earth by combining machine learning and Earth observation data;

- Methodologies and use cases of impact models for decision of sustainability action.

The vision of EarthCare is to provide key methodologies for science and policy making for a sustainable future.
The research team consists of high profile experts from four disciplines: Earth observation, AI and data science, Earth system modeling, Sustainability, which has unique capabilities to unlock the potential of merging highly innovative methods in Earth observation, artificial intelligence, and Earth system modeling with applications in biodiversity and forestry, the urban domain, and climate-induced natural hazards. The cross-cutting framework of EarthCare promotes the exchange between key disciplines of climate science and sustainability, and consolidate the scattered expertise in the Munich area.


Our research team