vegetation health, unlocking larges- cale assessments that are impractical through field surveys alone. Capturing point cloud data also supports accurate canopy mapping and enables the detec- tion of growth, loss, and other changes in the urban forest over time. When in- tegrated with GIS, LiDAR delivers valu- able insights for asset management, cli- mate adaptation, and longterm urban forest planning. RFID and QR Tagging Radio-frequency identification (RFID) and quick-response (QR) tagging systems add value to tree inventories because they create a direct link between individ- ual trees and their history. Tagging allows updates from inspections, maintenance activities, and risk assessments to be re- corded on-site and synchronized directly with the inventory database, supporting more consistent and informed decision- making across an urban forest program. This real-time system enables current and accessible records while significant- ly improving the speed and accuracy of field operations. Predictive Modeling As technology continues to advance, cit- ies are increasingly shifting away from reactive strategies and toward proac- tive ones through predictive modeling. Predictive analysis allows urban forest managers to identify emerging issues before they develop into major prob- lems. For example, combining inventory data with a prediction model enhances the early detection of pest and disease
LiDAR captures the world as a high resolution point cloud, rebuilding its natural architecture in remarkable detail.
GIS GIS can transform tree inventory data into an effective decision-making tool. Visualizing tree assets within their geographic context helps urban for- esters map species diversity and dis- tribution, identify canopy coverage or gaps, and calculate tree equity across neighborhoods. GIS software like Arc- GIS Pro , ArcGIS Online , and QGIS can overlay tree data with contextual data- sets to reveal patterns or relationships that may not be apparent through tra- ditional inventory methods. LiDAR Remote-sensing technologies such as LiDAR and high-resolution photogram- metry are revolutionizing the way peo- ple view the urban forest. LiDAR uses laser pulses and return-time measure- ments to capture tree height, canopy extent, crown structure, biomass, and
Review, Validate, and Maintain Data Quality assurance and quality control practices are essential for maintaining an accurate and reliable tree inventory. Lack of proper QA/QC protocols can ruin even the best data set, no matter how robust it is. Supervisors should check inventory records on a regular basis to ensure that all data fields are accurate. This may include routine field sampling to correct or verify tree location, species identification, trunk diameter, and con- dition rating. As the inventory grows, strong version control becomes critical by maintaining records of any updates or modifications and keeping backup files to prevent data loss. TOOLS OF THE TRADE Technology is reshaping how arborists collect, manage, and interpret tree data. Digital tools are rapidly becoming stan- dard practice across the profession with modern data platforms such as TreePlot- ter , iTree , and ArborScope enabling ur- ban foresters to record information in the field using smartphones or tablets. Real time kinematic/global navigation satel- lite system (RTK/GNSS) receivers can further enhance the precision of data col- lection, achieving positioning accuracies of approximately 0.39” horizontally and 0.79” vertically. Together, these innova- tions integrate realtime GPS mapping, photo capture, and cloudbased syncing to streamline daily workflows and, quite literally, put trees on the map.
With predictive modeling, urban foresters can identify and forecast trends in canopy health, ecological func- tion, climate resilience, epidemiology, and tree equity.
12 | Fall 2026 ArborTIMES ™
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