Urban tree management Australia is entering a new operational phase. Not simply becoming more digital or more data-driven but becoming operational in a much more fundamental sense.
Councils, utilities, and land managers are beginning to treat urban trees the way they treat other infrastructure assets: requiring continuous visibility, accurate records, and decisions grounded in current information.
That shift is happening project by project, as outdated inventories are replaced with spatially precise, operationally integrated tree intelligence. Between February and March 2025, greehill completed a series of urban tree inventory and LiDAR-based projects across Western Australia, Victoria, and Queensland, three very different environments, each facing distinct operational pressures, and each illustrating how urban tree management in Australia is changing.
Urban Tree Management in Australia and the Shift to Operational Visibility
Urban tree management has historically relied on periodic survey cycles, fragmented records, and manual inspection processes that often struggled to keep pace with changing environmental conditions. That model is becoming increasingly difficult to sustain.
Across Australia, organisations managing urban canopy are facing simultaneous pressure from invasive pests, climate stress, public safety expectations, insurance scrutiny, and growing operational complexity. The result is a gradual but important shift toward continuous operational visibility of tree populations.
This transition is not primarily about adopting new software platforms. In many cases, those systems already exist. The critical factor is whether the underlying tree data is accurate, spatially integrated, current, and operationally useful.
The following projects illustrate how that shift is unfolding across very different management environments.
Perth: Biosecurity Response and Urban Tree Inventory at Scale
Across the Perth metropolitan area, greehill completed individual urban tree inventory projects ranging from 8,000 to 20,000 trees per local government area.
The context was urgent, as the Polyphagous Shot Hole Borer (PSHB), an invasive beetle affecting a wide range of host species, has spread through the Perth urban canopy and is placing growing biosecurity pressure on councils managing large and diverse tree populations.
Managing PSHB at metropolitan scale is fundamentally a spatial problem. The beetle spreads through connected canopy systems by moving between susceptible host trees. Understanding where those trees are located, how densely they are clustered, and which spatial corridors connect them across suburbs and administrative boundaries becomes the operational foundation of any serious response strategy.
Without current, species-resolved, spatially accurate tree data, management teams cannot reliably identify spread corridors, prioritise intervention zones, or understand how infestation is moving through the urban canopy.
The inventory data was integrated directly into Forestree, the operational tree management platform already used by local stakeholders across Western Australia. This mattered as much as the survey itself as data held outside operational workflows reach decision-makers too slowly, if at all. But data embedded directly into day-to-day management systems changes operational decisions in real time.
LiDAR Tree Scanning at Flemington Racecourse
At Victoria Racing Club, approximately 3,200 trees were surveyed across the Flemington Racecourse site using LiDAR tree scanning technology.
The challenge here was different. Not biosecurity response, but long-term stewardship of mature and historically significant trees. Many of the trees at Flemington are decades old, some exceed a century. They are irreplaceable within any meaningful planning horizon, and both insufficient intervention and unnecessary intervention carry significant consequences.
LiDAR scanning generates precise three-dimensional models of individual trees, capturing canopy structure, branch architecture, and geometric form at a level of consistency that visual inspection alone cannot provide.
For large mature trees, this creates operational advantages that traditional survey methods struggle to achieve. Structural anomalies and potential risk indicators become identifiable earlier. Maintenance planning becomes more measurable and repeatable and because LiDAR produces a reproducible geometric baseline, the same trees can be re-surveyed over time, enabling direct comparison of canopy structure and long-term change.
“We already hold strong tree data, but the use of LiDAR will assist with canopy structure, growth and long-term change, essential on a site with trees that are decades to over a century old. The precision of the 3D scans helps us detect risks earlier, plan maintenance more confidently, and ensure we’re caring for these historic trees with the detail and respect they deserve.”
— David Da Silva, Arboriculture Manager, Victoria Racing Club
While the heritage setting makes the value particularly visible, the underlying challenge extends far beyond racecourses. Any organisation managing mature trees in public environments increasingly requires infrastructure-grade visibility into tree condition, structure, and long-term change.
Tree Risk Management and Spatial Data at Sanctuary Cove
At Sanctuary Cove in Queensland, approximately 5,000 trees were inventoried and integrated into ArborSafe, Civica’s tree risk management platform.
The project reflects a broader reality emerging across urban tree management in Australia: many organisations already have management systems in place. The limiting factor is increasingly the quality and operational usefulness of the underlying tree data. Risk management platforms operate at the resolution of the information they contain. Where species records are generic, locations are approximate, and canopy dimensions are estimated, the resulting risk assessments and maintenance priorities carry corresponding uncertainty.
More accurate inventory data fundamentally changes what those systems can do.
With precise geospatial locations, measured canopy dimensions, and accurate species identification for every tree, risk classification becomes more consistent. Inspection schedules become more targeted. Work orders become more operationally specific. And when liability questions arise, the available documentation reflects a significantly higher standard of care.
The Sanctuary Cove project illustrates how urban tree management technology is increasingly being adopted across Queensland and nationally: not necessarily by replacing existing systems, but by improving the quality, accuracy, and operational value of the data those systems depend on.
Why Accurate Tree Data Matters in Urban Tree Management
Pest response in Perth, heritage stewardship at Flemington, risk management at Sanctuary Cove: each project addressed a fundamentally different operational context. What connected them was the role that current, spatially integrated, operationally usable tree data played in enabling better decisions.
In each case, the inventory itself was not the end goal. It was the operational foundation that made a specific capability, biosecurity response, structural monitoring, long-term stewardship, or risk management, substantially more effective.
Urban tree management in Australia is under growing pressure. Cities must monitor more invasive pests and biosecurity risks, respond faster to climate stress in mature trees, meet higher safety and documentation expectations, and manage increasingly complex urban forests at scale.
These pressures are not temporary, they represent structural changes in the environment urban tree managers now operate within. Across Australia, urban tree management is becoming less episodic and more operational. The organisations adapting fastest are those building continuous visibility into the condition, structure, and spatial dynamics of their tree populations.
Frequently Asked Questions
What is a Smart Urban Tree Inventory and why does it matter?
A Smart Urban Tree Inventory is a structured dataset of all trees within a defined area, capturing species, location, size, condition, and canopy data for each individual tree. For councils, land managers, and infrastructure operators, an accurate inventory is the foundation of effective tree management, enabling risk assessment, maintenance planning, biosecurity response, and compliance reporting. Without reliable inventory data, management decisions rely on incomplete information, which increases both operational risk and the likelihood of missed issues.
How does LiDAR scanning improve tree management outcomes?
LiDAR (Light Detection and Ranging) generates precise three-dimensional models of individual trees, capturing canopy volume, branch architecture, and structural form at a resolution that visual inspection cannot consistently replicate. This enables earlier identification of structural risk, more measurable maintenance planning, and the ability to track canopy change over time by comparing repeated scans against a geometric baseline. For mature and heritage trees in particular, LiDAR provides a level of structural visibility that changes what responsible long-term stewardship looks like in practice.
How can urban tree data support biosecurity response?
Biosecurity threats such as Polyphagous Shot Hole Borer spread through urban canopies via connected chains of susceptible host trees. Accurate, species-resolved, spatially integrated tree data makes it possible to map those connections, identifying high-risk zones, potential spread corridors, and low-risk areas where resources can be redirected. Without this spatial intelligence, biosecurity management at scale operates reactively rather than strategically, concentrating effort based on reported sightings rather than understood risk patterns.
What is the difference between a tree survey and operational tree intelligence?
A tree survey is a point-in-time record of tree assets, typically produced on a periodic basis and used for reporting or compliance purposes. Operational tree intelligence in form of a Smart Tree Urban Management Cycle is a continuously maintained, spatially integrated dataset that connects directly to the management platforms teams use every day. The distinction matters because the value of tree data is not in its existence, it is in how quickly and consistently it informs operational decisions. Data held in a separate system or updated infrequently cannot do what operationally integrated, current data can.
How does tree inventory data integrate with existing management platforms?
Modern Smart Tree Inventories are structured for direct integration with the tree management systems organisations already use, platforms such as Forestree, ArborSafe, and others. Integration means that richer, more accurate tree data enters existing workflows without requiring teams to change platforms or adopt new processes. The result is that the same system a team has always used begins to support better-informed decisions, because the data underpinning it more accurately reflects the current condition of every tree on site.
To explore how greehill supports operational urban tree management at infrastructure scale, contact our team or learn more about our urban tree intelligence platform: www.greehill.com
