Grants and Contributions:

Title:

Improving and expanding forest inventories and allometry with the use of Mobile Light Detection and Ranging (LiDAR) Scanning (MLS)

Agreement Number:

CWFC2326-006

Agreement Value:

$342,000.00

Agreement Date:

Jan 17, 2024 - Mar 31, 2026

Description:

Propose methods adapted to estimate traditional and new forest attributes at the tree level from MLS point clouds, namely, height, tree horizontal position, diameter, stem taper, and crown dimensions and density, to implement a scientifically innovative procedure to estimate tree volume, biomass, for tree allometric development through analysis of the MLS point cloud, and to develop anew method to quantify 3D distribution of forest understory and vegetation layering composing the canopy.

Organization:

Natural Resources Canada

Expected Results:

Integrated MLS technology and methods to improve and expanded forest inventories as well as workshops, scientific presentations and open access publication of a practical guide.

Location:

SHERBROOKE, Quebec, CA J1K 2R1

Reference Number:

115-2023-2024-Q4-14560

Agreement Type:

Contribution

Report Type:

Grants and Contributions

Recipient Type:

Academia

Additional Information:

Grant or contribution awarded and spanning more than one fiscal year.

Recipient's Legal Name:

UNIVERSITÉ DE SHERBROOKE

Program:

Grants and Contributions in support of the Forest Innovation Program

Program Purpose:

The objective of the Forest Innovation Program (FIP) is to enable transformation in the Canadian forest industry. More specifically, the FIP will help drive forest sector transformation, sparking enterprises in their move beyond a dependence on commodity products toward value-added, high-value and specialty products – sustainably extracting the maximum value from the fibre resource. To achieve this, the FIP will facilitate and promote a value-chain approach that addresses innovation from the seed to the end markets and products in which the right fibre is matched to the right product.