Advanced AI Technology Effectively Maps City Green Areas

A research team led by Rumi Chunara, an associate professor at NYU, has developed an innovative artificial intelligence (AI) system that utilizes satellite imagery to more accurately track urban green spaces, a critical component for promoting healthy cities. Tested in Karachi, Pakistan, where environmental disparities are evident, the system boasts a significant improvement in accuracy—89.4% compared to traditional methods which only achieved 63.3%. The team’s findings highlight a stark divide in green space distribution, with some neighborhoods lacking adequate vegetation while others thrive with tree-lined streets. The study indicates that urban areas with more paved roads typically enjoy greater greenery. Enhanced by a technique called ‘green augmentation,’ which incorporates varying vegetation data across conditions, this research provides valuable insights for urban planners aiming to address inequalities and promote climate resilience.

Advanced AI Technology Effectively Maps City Green Areas

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