Welcome to The GAA
A resource for tree care professionals and the public to protect and care for Georgia’s trees.
Our Mission
To promote safe and proper arboriculture practices in the state of Georgia through networking, training, and public education; and to be a voice for the professional arborists who manage and care for Georgia’s trees.
Explore our database to find information on our members, including arborists, tree service companies, and consultants.
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Upcoming Programs & Events
Stay informed about upcoming GAA and industry-related educational events by checking this space regularly.
Over seven sessions, experienced instructors and certified arborists Rob Swanson and Kay Evanovich will help attendees prepare for the exam with talks covering Tree Biology, Tree Identification, Soil Science, Water Management, Tree Nutrition and Fertilization, Tree Selection, Installation and Establishment, Pruning, Tree Support and Lightning Protection, Diagnosis and Plant Disorders, Plant Health Care, Tree Assessment and Risk Management, Trees and Construction, Urban Forestry, Tree Worker Safety, and Climbing & Working in Trees.
Please join us for an afternoon of of education and an evening of networking & celebration with friends! Together we will welcome in the New Year as we celebrate our accomplishments & recognize those who have given their extra time & energy to help the GAA and the industry professionals we serve.
Over the past five years, the integration of 3D scanning with biomechanical analysis has emerged as a critical advancement in tree assessment. By refining tomographic data with precise stem geometry, we have uncovered valuable insights that significantly improve how tree care specialists evaluate structural stability and risk.
This presentation will highlight key tools such as LiDAR and photogrammetry, while also addressing their current limitations in biomechanical evaluation.
In addition, it will explore the nature of tree cavities and what they truly mean from a biomechanical perspective, moving beyond visual assumptions toward quantifiable structural understanding.