This virtual program offers an in-depth exploration of how ground-based LiDAR technology, artificial intelligence (AI), and machine learning is transforming the way municipalities conduct urban tree inventories. Participants will examine the practical use of these advanced technologies, with a focus on key considerations such as cost, environmental conditions, and project-specific requirements. This session will guide attendees through the fundamentals of how the technology works, types of data it captures, and the conditions under which it performs best. Real-world examples will illustrate how municipalities of all sizes are incorporating technology into their management strategies to improve decision-making and optimize resource allocation.

Learning Objectives:

1. Assess the role and potential impact of emerging technologies including AI, machine learning, and LiDAR on urban forest management.
2. Explain how emerging technologies work for urban forest management and what type of data it provides.
3. Develop a strategic approach to urban forest management that integrates emerging technologies to enhance decision-making, sustainability, and resource allocation.

Links/Handouts

Discussion Guide
Handout

Speakers:

Josh Behounek
Business Development Manager, Environmental Consulting
Davey Resource Group

Moderator/Speaker:

Shane McQuillan
City Forester
Des Moines, IA

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