Forestry has traditionally relied on field surveys, experience, and long-term planning cycles measured in decades. Today, however, artificial intelligence and advanced sensing technologies are transforming how some of the world's largest forests are managed. In this episode of TechMobility Topics, I examine how Weyerhaeuser is building a digital twin of its forests using AI, drones, satellite imagery, and LiDAR.
By combining multiple data streams, the company can monitor forest conditions with unprecedented detail, tracking changes across vast landscapes and, in some cases, evaluating conditions at the level of individual trees. The goal is to improve long-term planning, resource management, operational efficiency, and environmental stewardship while making decisions that may not fully play out for decades.
We explore how digital twin technology works in a forestry environment, the advantages it offers over traditional monitoring methods, and the challenges of managing complex natural systems through data-driven insights.
This episode takes a practical look at how artificial intelligence is moving beyond offices and factories to help shape the future of one of humanity's oldest industries.