Investigation and Development of Forest Inventory Tools 120-204

Description: The desired outcome of the project is to allow identification, comparison, evaluation and common understanding of new and existing technology relating to the development and production of Tembec's 21st century forest inventory. The objective of the study is to explore the capabilities and application of high resolution digital imagery, LiDAR, and remote sensing technologies and applications to forest operations and to forest inventory derivation and production in an operational setting. Phase 1 of the project covers the Romeo Malette Forest, and Phase 2 covers the Gordon Cosens and Smooth Rock Falls Forests.

Given the current state of forest inventory data across Ontario; generally considered on virtually all forest management units and sustainable forest licenses to be out of date, inaccurate, created with antiquated methods and technology, and applied/used far beyond the original intent, a positive outcome in the evaluation and acceptance of the use of high resolution digital imagery, LiDAR, and remote sensing technologies and applications could mean a revolutionary advancement both in terms of the products used in everyday forestry operations, and in the creation, maintenance and update of forest resource inventory data. Long term spin-off benefits would include significantly improved forest management planning, modeling, operations, silviculture, road building, forest values identification, wetlands evaluation, carbon cycling; and potentially major corresponding cost decreases for both Tembec and the OMNR.

The Project Team: Dr. Paul Treitz, Queen's University Geography Department, Kevin DelGuidice, Tembec, Rob Mackereth, CNFER, Frank Addante, MNR.



Thompson, I.D., Maher, S.C., Rouillard, D.P., Fryxell, J.M. and J.A. Baker. 2007. Accuracy of forest inventory mapping: Some implications for boreal forest management.Forest Ecology and Management 252: 208–221.


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