In an attempt to analyze global vegetation data, technologies like Artificial intelligence (AI) and big data analytics, are being increasingly used. In a recent set of events, these emerging digital technologies were brought into use to produce the world’s first map of the global vegetation, to provide a broader picture of where its favorable for vegetation to grow and where it’s not.
The University of Valencia, one of the leading academic institutions in Spain, recently conducted a study assessing the global abundance of the phosphorus and nitrogen content in vegetation, along with the efficiency in water use. The aim of the study was to give a clearer picture on which places will be best suited for agriculture, and which would probably won’t bear fruitful results owing to harsh environmental conditions and tectonic climate shifts. Also, along the way, assessments on the planet’s biodiversity conditions are a favorable outcome.
When it comes to the living ecosystem, the key chemical elements that amount to give a detailed analysis of the living, i.e. strong biodiversity signal indicators are carbon, hydrogen, oxygen and sulfur, nitrogen and phosphorus. Elements like nitrogen and phosphorus are needed in surplus amounts by plants to flourish. These chemicals are found in soil, in the form of nitrates and phosphates.
The University researchers collectively gathered vegetation related information from Google’s mass satellite observation data to develop the new global vegetation maps. The information gathered, which included temporal and spatial observations, with the help of specially developed AI program, was assessed to produce the color-coded maps of the world’s vegetation abundance regions.