Spanish researchers use AI to develop plant-based phosphorus and nitrogen maps

In Spain, researchers of Valencia University (UV) have developed the first global maps of phosphorus and nitrogen content in vegetation, as well as efficiency in water use, via artificial intelligence and big data techniques. The application of these maps could benefit fields such as biodiversity, agriculture and the adaptation of species to climate change.

Artificial intelligence (AI) techniques and Google mass satellite observation data have made it possible to generate the first global maps on vegetation variables that until now were only available locally.

The research team has developed a methodology to generate global maps of key parameters, variables and features of the planet’s vegetation. The AI technique works with Google’s cloud to exploit thousands of images from the NASA and the ESA, enabling the generation and monitoring of global vegetation with high spatial and temporal resolution. The studies have revealed very interesting patterns in key parameters related to climate change, such as phosphorus or nitrogen content and plant foliage.