Tree inventories have come a long way from pen-and-paper surveys to cloud-based GIS systems—but the future is even smarter! Today, with cutting-edge technologies like AI, LiDAR, and machine learning, the way we assess, manage, and care for our urban forests is being completely transformed. These technologies enhance data accuracy, automate analysis, and provide real-time insights, empowering urban foresters to make more informed, efficient decisions. This exciting shift is not only about better managing our urban trees—it’s about shaping more resilient, sustainable communities.

As we face increasing challenges in maintaining healthy trees with limited resources, the need for smarter tree inventories has never been greater. These next-generation systems streamline species identification, risk assessment, and maintenance planning, helping you detect health threats early and optimize resource allocation. With the power of AI-driven tools, cities can expand canopy coverage, reduce heat islands, improve biodiversity, and address climate challenges, all while simplifying compliance and reporting requirements.

Join us to discover how the future of urban forestry is being shaped by these groundbreaking technologies. Whether you’re a city arborist, urban planner, or forestry professional, this webinar will equip you with the knowledge to harness the power of smart inventories and transform your urban forest management strategies. Register now to stay at the forefront of innovation and build healthier, more resilient urban forests for the future.

Learning Objectives

At the end of the webinar, participants will be able to:

• Understand and describe the role of AI, LiDAR, and machine learning in transforming tree inventories, risk assessments, and urban forest management.
• Assess and evaluate AI-powered tools to enhance data accuracy, streamline maintenance planning, and optimize resource allocation in urban forest decision-making and management.
• Develop strategies to implement Smart Tree Inventories into practical applications by identifying best practices, addressing implementation challenges, and leveraging AI-driven technologies in municipal tree management.

ISA CEUs applied for and pending.