A team of researchers from Purdue University has developed a cutting-edge computational tool that enables the rapid and large-scale monitoring of urban tree populations across public and private lands. By combining artificial intelligence with high-resolution satellite imagery, the digital forestry team has successfully mapped and analyzed individual trees in over 330 U.S. cities with populations of 100,000 or more. The innovative AI-enhanced visual computing method can identify tree locations with remarkable accuracy, resulting in the individual detection of 280 million urban trees to date. This achievement marks a significant leap forward in urban forest management, offering city planners, environmental scientists, and policymakers a powerful new resource for tracking tree health, assessing urban canopy coverage, and supporting climate resilience initiatives. The system’s ability to process vast geographic areas quickly and precisely sets a new standard for how cities can monitor and steward their green infrastructure.