Planet health index: A framework to investigate atmosphere, biosphere (Gregory Duveiller)
“Planet health index: A framework to investigate relationships between the atmosphere, biosphere and sociosphere” by Gregory Duveiller The Open-Earth Monitor Global Workshop 2026 "Next-Generation EO & GeoAI Built on Openness and Distributed Data" 7-9 October 2026, Barcelona, Spain https://earthmonitor.org/global-workshop-2026/ 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.