2026-10-07, 15:45–16:00 (Europe/Madrid), Aula Magna
There is a growing need to understand the inter-relationships between our atmosphere, the biosphere, and what we could call the anthroposphere. These interactions are complex and not always evident, complicating their analysis through a traditional modelling framework. On the other hand, we do have large amounts of climatic and environmental data in the form of spatio-temporal layers, along with socio-economic data expressing human behaviour, which could be combined in a data-driven perspective. Past work has shown that it is possible to summarize the state of the terrestrial biosphere in a few dimensions by applying statistical techniques to Earth system data cubes. Similarly, socio-economic development data can be statistically reduced to some key dimensions.
To investigate correlations between the biosphere, atmosphere and the sociosphere, we developed the initial concept of the planetary health index (PHI). Towards this goal, data from FLUXCOM-X and Eurostat was collected and resampled at quarterly temporal frequency and NUTS3 spatial level. We then developed an interactive dashboard in R Shiny based on interpretable and holistic Canonical Correlation Analysis to visualize spatio-temporal patterns of features and relationships between the 3 spheres. Additional data can be added later on for customisation. This tool was designed and developed for a particular stakeholder, the European Central Bank, who is interested in the physical risk and the impacts that financial institutions have on climate change, biodiversity loss, ecosystem services and their degradation, but also on how these processes also have impacts on financial institutions.
For more information on this OEMC use case, please look at the corresponding record in the GEO Knowledge Hub under this link: https://gkhub.earthobservations.org/packages/xgg95-ca651
Open-Earth-Monitor Cyberinfrastructure (Grant agreement ID: 101059548), Other
Gregory Duveiller holds a PhD in agronomical science and biological engineering from the Université catholique of Louvain (UCLouvain), Belgium. After his PhD, he spent 10 years working at the European Commission Joint Research Centre (JRC), in Ispra, Italy. He has specialized in developing methods to combine different satellite remote sensing data streams to better monitor and understand land processes, including crop yield monitoring, land cover change and land-atmosphere interactions. Since 2021 he is a project group leader at the Max Planck Institute for Biogeochemistry in Jena, Germany. His main research aims at improving our understanding of the role of terrestrial ecosystems in the Earth System by using data-driven yet process-based thinking applied to satellite Earth Observation data. A key focus is on exploring the complexity and diversity of terrestrial ecosystems, and how their specific functional properties affect land-atmosphere interactions. Topics explored under this umbrella include: (i) improving estimations of carbon, water and energy fluxes; (ii) studying the role of biodiversity (specifically functional diversity) to improve ecosystem resilience; (iii) exploring the biophysical effects of land use and land management on climate.