Ontario is investing $100 Million over 10 years in the process of updating the Provincial Forest Resource Inventory (FRI), which involves the province-wide acquisition of new digital ADS40 aerial imagery to serve as a consistent platform for the photo-interpretation and mapping of forest attributes. Because it is coupled with advanced geographic positioning data, ADS40 imagery […]

The proposed research will create value added models that will be used to predict wood quality attributes (wood density and fibre dimensions) on the landscape within Ontario’s boreal forest. This will be achieved by modeling stem and stand attributes from airborne laser scanner data (LiDAR). The derived stems and stand attributes (such as tree height, […]