Back to case studiesForestry & agriculture

Case study: LiDAR inventory of a Christmas tree plantation

How many trees will be ready for sale next year?

For a Christmas tree grower, that question comes back every season. Answering it often means walking the rows, counting, measuring a few trees and extrapolating. Over tens of hectares, it is slow, remains approximate, and quickly goes out of date.

We wanted to show that a single drone survey can replace that work with a complete, tree-by-tree inventory.

The mandate

Site
a Christmas tree plantation in Quebec’s Eastern Townships, about 41 hectares, with blocks of mixed ages — from young seedlings to trees ready to cut.
Objective
count every tree, measure its height and produce a clear portrait of the plantation by height class.
Constraint
the blocks are bordered by woodlots, hedges and scrub that must be distinguished automatically from planted firs.

Our approach

  1. 1

    Aerial survey

    We flew 6 automated missions with a DJI Zenmuse L1 LiDAR sensor. LiDAR measures terrain with laser pulses. It captures both ground and vegetation, and the built-in camera colourizes each point. In total, more than 1.2 billion points were collected.

  2. 2

    Fusion and quality control

    The 6 point clouds were merged and aligned. We checked vertical agreement on reference surfaces such as roads, to within a few centimetres.

  3. 3

    Terrain and height model

    True ground is extracted under the vegetation. Each tree’s height is then measured above the ground — not above an approximate relief.

  4. 4

    Automatic detection

    Each fir is located as a local peak in the height model. A regularity filter keeps only trees aligned in plantation rows. Scrub, shrubs and spontaneous vegetation are rejected automatically, without drawing zones by hand.

  5. 5

    Indicators

    For each tree we compute position, height and, for established specimens, crown width. Crown colour is also compared with surrounding grass, to flag trees that deserve a field visit (pale top: yellowing, dead tree or weed pressure).

Results

IndicatorResult
Trees detected38,959
Area covered41 ha
Average density≈ 950 trees/ha
Trees taller than 1.5 m5,277
Trees flagged “to check”598

Breakdown by height

  • under 0.5 m26,474 trees
  • 0.5 to 1 m4,442
  • 1 to 1.5 m2,766
  • 1.5 to 2 m2,278
  • over 2 m2,999

At a glance, the grower sees that the plantation is mostly young. They know how many trees will reach sale size in the coming seasons — and where they are.

What the grower receives

  • An inventory by block: tree counts by height class, to plan harvest and sales.
  • A GIS file with one point per tree: usable in QGIS, Google Earth or on a phone in the field.
  • Terrain and height models at 20 cm: useful for spotting wet areas, drainage issues and uneven growth.
  • A list of trees to check first.
  • An interactive map to view and share easily.

Interactive map

Photo / relief basemaps, stands, heights and filters — explore the Christmas-tree inventory as in the field.

Open fullscreen

What’s next? Year-over-year monitoring

The real value comes with a second survey. Comparing two seasons measures each tree’s actual growth, flags areas that plateau and tracks replants. The inventory then becomes a management tool.

Client

Grower — Eastern Townships

Sector

Forestry & agriculture

A similar project?

Let’s discuss your specific needs and how we can support you.

Your plantation, tree by tree

Do you grow Christmas trees, or manage a nursery or orchard? We can build the same portrait of your operation.

Project visuals