Across Australia's vast and climate-stressed landscapes, a quiet revolution in measurement is underway — one that replaces the single glance with the patient gaze. On October 7, researchers from Ghent University, the University of Queensland, and CSIRO will gather online under TERN's banner to demonstrate how repeated LiDAR surveys, layered across time, are transforming humanity's ability to read the living pulse of forests and grasslands. Where a snapshot reveals only a moment, a time series reveals a story — of recovery or collapse, of carbon held or surrendered, of ecosystems bending or bre
TERN webinar explores LiDAR time series for ecosystem monitoring
A single snapshot tells you almost nothing—a series reveals whether an ecosystem is recovering or collapsing.
Mark
Why does it matter that LiDAR can measure the same place multiple times? Couldn't you just look at satellite images?
Mimi
Satellites give you a broad view, but they can't see fine structure—the shape of individual trees, the density of branches, the subtle changes in canopy that signal stress or recovery. LiDAR cuts through that. And when you repeat it, you're building a record of change.
Luke
But how often do they actually repeat these measurements? The webinar says it's possible, but is it happening at scale, or is this still mostly proof-of-concept?
Mimi
That's what the webinar is partly about—showing that it's becoming practical. TERN's SuperSites are doing it. But you're right to push back. The infrastructure for routine, nationwide repeat LiDAR is still being built.
Mark
So what does a time series actually show you that a single measurement doesn't?
Mimi
Whether a forest is recovering from fire or declining. Whether carbon is being stored or lost. Whether a drought is temporary stress or permanent damage. A single snapshot looks like a state. A series looks like a trajectory.
Luke
And the three speakers—are they presenting new data, or are they explaining existing methods?
Mimi
They're explaining methods and showing how those methods are being applied in Australia. Calders will contrast terrestrial and airborne systems. Woodgate will show how TERN sites use the data. Levick will talk about scaling it up nationally.
Mark
Why is scaling it up nationally important?
Mimi
Because carbon accounting for climate policy depends on knowing vegetation structure across the country. If your estimates are uncertain, your policy is uncertain. Consistent LiDAR data reduces that uncertainty.
Luke
But that's still aspirational, isn't it? The webinar is about why this matters and how it works, not about a finished national system.
Mimi
True. It's a conversation about where the field is heading and why the investment matters. The infrastructure isn't complete yet.
El Pulso
- Traditional monitoring captures a single state, leaving scientists blind to the slow structural shifts that signal whether an ecosystem is healing or quietly failing.
- LiDAR — deploying laser pulses from ground scanners, aircraft, and drones — now builds precise three-dimensional vegetation maps repeatable enough to detect change at scales from a single tree to an entire landscape.
- Three leading researchers will demonstrate how TERN's long-term SuperSites use these time series to reconstruct tree architecture, estimate leaf area, and ground-truth the satellite products that underpin national carbon accounting.
- The stakes extend beyond science: reducing uncertainty in vegetation models directly strengthens the climate policy infrastructure Australia and the world depend on for credible carbon reporting.
- The October 7 webinar marks a threshold moment — LiDAR monitoring is crossing from experimental tool to operational standard, and the case for measuring the same place twice is becoming impossible to ignore.
Across Australia's vast and climate-stressed landscapes, a quiet revolution in measurement is underway — one that replaces the single glance with the patient gaze. On October 7, researchers from Ghent University, the University of Queensland, and CSIRO will gather online under TERN's banner to demonstrate how repeated LiDAR surveys, layered across time, are transforming humanity's ability to read the living pulse of forests and grasslands. Where a snapshot reveals only a moment, a time series reveals a story — of recovery or collapse, of carbon held or surrendered, of ecosystems bending or breaking under climate pressure.
Australia's Terrestrial Ecosystem Research Network is hosting a webinar on October 7 to show how repeated LiDAR measurements are changing the way scientists read the country's vegetation. The core argument is simple but consequential: a single survey tells you a state, not a story. Only by returning to the same site over time can researchers detect whether a forest is recovering from fire, storing more carbon, or quietly declining under climate stress.
LiDAR — light detection and ranging — uses laser pulses to build three-dimensional maps of vegetation from the ground or from aircraft and drones. What makes the moment significant is that these systems are now mature enough to be deployed repeatedly across the same locations, generating time series data that reveals change at every scale from individual trees to whole landscapes.
Three researchers anchor the session. Professor Kim Calders of Ghent University will explain what LiDAR actually measures and contrast terrestrial and airborne systems using Australian examples. Dr William Woodgate of the University of Queensland will demonstrate how TERN's SuperSites use ground-based LiDAR to reconstruct tree models, estimate leaf area, and catch changes invisible to conventional surveys — work rooted in a decade of ground-truth research at the Tumbarumba monitoring site. Dr Shaun Levick of CSIRO will broaden the lens, showing how denser LiDAR observations constrain the carbon accounting models that feed directly into climate policy, and how linking to international programs creates a more coherent national picture of vegetation structure.
The one-hour online session is open to researchers, land managers, and anyone tracking how Australian ecosystems are responding to disturbance and a changing climate — an audience for whom the difference between measuring a landscape once and measuring it many times is becoming the difference between assumption and understanding.
Australia's Terrestrial Ecosystem Research Network will host a webinar next week to demonstrate how repeated LiDAR measurements are reshaping the way scientists understand what's happening to the country's vegetation. The session, scheduled for October 7, brings together three researchers who have spent years building the case that a single snapshot of a forest or grassland tells you almost nothing—but a series of measurements over time, layered on top of each other, can reveal whether an ecosystem is recovering or collapsing, storing carbon or losing it, bouncing back from fire or drought or sliding into decline.
The problem with traditional ecosystem monitoring is straightforward: you look once, you see a state. You don't see change. You don't see the subtle shifts in tree structure that signal stress, or the gradual thickening of vegetation that marks recovery. Monitoring vegetation structure matters because it's one of the most reliable indicators of ecosystem health. It tells you how much carbon is being stored, what habitats are available for wildlife, how resilient a landscape is to climate stress. But you need to measure the same place multiple times to actually know what's happening.
This is where LiDAR—light detection and ranging—becomes practical. The technology uses laser pulses to build three-dimensional maps of vegetation, and it can be deployed from the ground using terrestrial laser scanners or from aircraft and drones using airborne systems. What makes the webinar significant is that these tools are now mature enough to be used repeatedly across the same sites, creating time series data that reveals change at scales ranging from individual trees to entire landscapes.
Professor Kim Calders from Ghent University will open the discussion by explaining what LiDAR measurements actually show and why they matter for understanding biomass, biodiversity, and related challenges. Calders has coordinated terrestrial LiDAR field campaigns across Europe, Africa, South America, and Australia, and he'll contrast the strengths and limitations of terrestrial versus airborne systems, using Australian examples to ground the comparison.
Dr William Woodgate from the University of Queensland will focus on how TERN's network of SuperSites—long-term monitoring locations—uses terrestrial LiDAR to reconstruct three-dimensional tree models, estimate leaf area, and detect changes that would be invisible in conventional surveys. Woodgate spent a decade as principal investigator at the TERN-OzFlux Tumbarumba site, helping establish global standards for validating satellite products against ground truth.
Dr Shaun Levick, a senior researcher at CSIRO's Environment Research Unit, will address the national and international picture. His team uses multi-scale LiDAR data to calibrate satellite products and reduce uncertainty in regional and national vegetation trends. He'll discuss how denser observations from LiDAR can constrain the models used for carbon accounting—a critical piece of climate policy infrastructure—and how linking to programs like GEO-Trees and satellite validation initiatives creates a more coherent national picture of vegetation height and structure.
The webinar runs from 4:00 to 5:00 p.m. Australian Eastern Standard Time and is open online. For researchers, land managers, and anyone tracking how Australian ecosystems are responding to climate change and disturbance, the session offers a window into tools that are moving from experimental to operational—and into the reasoning behind why measuring the same place twice is not just better than measuring it once, it's essential.
Citas Notables
Monitoring of vegetation structure is one of the best ways to gauge how ecosystems are faring—carbon stored, available habitats, fire or drought recovery, and climate change resilience.— TERN webinar description
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