Modern LiDAR technology is transforming the way we understand forests. With the introduction of sensors such as the DJI Zenmuse L3, collecting detailed three-dimensional information about forest structure, terrain, and vegetation has become more accessible than ever before.
At Interpine, we’re passionate about helping the forestry sector unlock the potential of these new technologies. To showcase what’s possible, we’ve published an interactive LiDAR dataset that you can explore directly in your web browser. The dataset is presented as a classified point cloud, allowing users to navigate through the forest and interact with the data in three dimensions. Together with an interactive dashboard extracting knowledge from the millions of data points, showcasing the benefits of transforming your forest operations using TreeTools SilvaCloud powered by the team at Interpine.
While TreeTools SilvaCloud supports a wide range of LiDAR data sources, including publicly available and custom airborne datasets, recent advances in drone-based LiDAR technology have made high-quality forest measurement more accessible than ever. Sensors such as the DJI Zenmuse L3 enable the rapid collection of detailed three-dimensional information across individual stands or entire forest estates. Yet the greatest value is realised when this data is transformed into meaningful forest inventory metrics, operational insights, and decision-ready reporting. In this first article, we explore the source data itself, before demonstrating in Part 2 how TreeTools SilvaCloud unlocks the full potential of these datasets for forest inventory and analysis.
See the Forest Through Millions of Measured Points
Unlike traditional aerial imagery, LiDAR captures the world as millions of precise measurements. Each point represents a location where a laser pulse interacted with the environment, creating an incredibly detailed representation of the landscape.
Within the viewer you’ll be able to:
- Fly through the forest in full 3D
- Explore terrain and vegetation structure
- View classified point cloud data
- Experience the richness of modern LiDAR datasets
- Gain an appreciation for the volume and quality of information now available to forest managers and analysts
This dataset demonstrates the level of detail achievable with today’s airborne LiDAR platforms and highlights why the technology is rapidly becoming an important part of modern forest measurement workflows.
Why LiDAR Matters
LiDAR has become one of the most valuable remote sensing technologies available to the forestry sector. It provides a comprehensive view of forest structure across entire estates, helping forestry professionals better understand:
- Terrain and topography
- Forest stocking and structure
- Stand variability
- Harvest planning considerations
- Environmental and operational constraints
However, while the data collection itself is impressive, collecting data is only the first step.
The Challenge with Modern LiDAR
As LiDAR systems continue to improve, the volume of information they produce continues to grow. A single survey can generate millions, or even billions, of individual measurements.
The real challenge for many organisations is not acquiring the data. It is converting that data into information that supports decision-making.
Raw point clouds are incredibly powerful, but they require specialised processing, analytics, and reporting workflows before they become actionable forest intelligence.
Part 1 of 2: The Data
This article is the first part of a two-part series exploring how modern forestry organisations can leverage LiDAR technology.
In this first instalment, we’re focusing on the raw dataset itself and encouraging readers to explore the data firsthand. We believe there is real value in understanding the source information and appreciating the detail available from modern LiDAR acquisition systems.
👉 Explore the interactive LiDAR viewer:
3D Point Cloud Digital Twin of a Pinus Radaita Forest Woodlot in Rotorua, New Zealand Using DJI L3 LiDAR Drone Sensor
Take some time to navigate through the point cloud and examine the forest from a completely different perspective.
Coming Soon: Part 2 Not Just Data. Knowledge
Later this week we’ll build on this dataset and demonstrate how TreeTools SilvaCloud transforms raw LiDAR point clouds into meaningful forest inventory products.
We’ll show how the same dataset can be processed into forest inventory assessments, reporting outputs, and operational insights that support forest management decisions.
The future of forestry isn’t just about collecting better data. It’s about extracting greater value from that data.
Stay tuned for Part 2 as we take this journey from point cloud to forest intelligence.
About Interpine
Interpine is committed to“shaping the forestry of today with the technology of tomorrow.” Through innovations in LiDAR, remote sensing, analytics, AI, and cloud-based forestry platforms, we help forest owners, managers, and consultants turn complex datasets into practical operational insights.