Light Detection and Ranging (lidar), also known as Airborne Laser Scanning (ALS), is an active, remote sensing technology used to produce detailed 3D models of the terrain surface and forest canopy. It provides high-resolution measurements of forest canopy structure, height and crown closure and can inform on key attributes, such as basal area and volume. Since 2007, the provincial government has worked with research institutions and industry on applying this technology in the natural resource sector. Forestry Analysis and Inventory Branch (FAIB) is actively improving forest inventory information by incorporating lidar and spaceborne optical data to produce Predictive Forest Inventories (PFI) and Lidar Enhanced Forest Inventories (LEFI) into the provincial inventory program. The lidar derived forestry information products are the foundational input data for PFI and LEFI inventories. Using lidar data collected from the LidarBC initiative starting in 2023 (https://lidar.gov.bc.ca/), FAIB is responsible for creating lidar derived forest information products which includes Canopy Height Models, Canopy Structure Metrics, and the Individual Tree Database.
To download these products, use the link below to download a .zip file which contains a shapefile of all 1:2500 map sheet tiles where the forestry information products are currently available. The shapefile is updated at regular intervals, download the latest version to have access to the latest available products.
Provincial Lidar Forest Information Product Index
The “objstore” attribute is the download link for the .zip file which contains all forestry products for that tile.
For more information about these products and how they are created, see the latest version of our Provincial Lidar Forest Information Product Specification document using the link below.
Provincial Lidar Forest Information Product Specifications
As part of this effort, FAIB has developed a three-tier classification of LEFIs:
For detailed descriptions of each tier, please consult the FAIB lidar standards documents section

2025
2023
2015 - 2016
2012 - 2014
2008
Any questions can be emailed to our remote sensing specialist