Detailed Linear Feature Inventory and Characterization

This project inventories and characterizes linear disturbances across the Cold Lake Regional Footprint Project (CLRFP) area using 2012 LiDAR data and field sampling. It assesses feature age, use, vegetation recovery, and visibility metrics relevant to species at risk, particularly woodland caribou. This work was commissioned by Devon Corporation to support reclamation and conservation planning by correlating LiDAR-derived vegetation metrics with field data. The study aims to guide restoration priorities and improve landscape conditions for wildlife through accurate mapping and analysis of both human and industrial footprint.

LiDAR proved to be highly accurate for most feature types and showed strong correlation with field-measured vegetation recovery and hiding cover, especially in upland Ecosites. Natural regeneration was most successful in areas with limited recent human activity, while bog and fen Ecosites showed the least recovery. Automated detection of low-impact seismic lines was unreliable, but field data confirmed recovery trends and identified priority Ecosites for management. Overall, the LiDAR product is a valuable tool for targeting reclamation efforts and supporting species-specific habitat restoration.