Following the appointment of the new Cabinet, the Forest Sector now reports to the ministère des Ressources naturelles et des Forêts, while the Wildlife and Parks Sectors report to the ministère de l'Environnement, de la Lutte aux changements climatiques, de la Faune et des Parcs. Adjustments will be made to the website over time.

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Summary

Published in The Forestry Chronicle, vol. 97(2), 109-126

The Canadian forest sector requires detailed information regarding the amount and characteristics of the forest resource. To address these needs, inventory systems that spatially quantify timber and other forest related ecosystem services are required, and which are accurate, comprehensive and timely. The Assessment of Wood properties using Remote Sensing (AWARE) was a five-year project involving collaboration between seven Canadian universities and seven forest companies, with support provided by provincial and federal forestry agencies and other not-for-profit forestry focused organizations. AWARE provided methods and tools to enhance the characterization of forests at national, landscape and individual tree-scales. The project supported 24 post-doctoral fellows, as well as PhD and MSc students who examined the roles that advanced three-dimensional remote sensing technologies can play in the development of accurate forest inventory systems across Canada. In this review, we examine the AWARE research project, review research highlights, key outcomes, future research needs, and provide an assessment of successes and challenges the project faced over its five-year lifespan.

Sector(s): 

Forests

Categorie(s): 

Scientific Article

Theme(s): 

Cartography and Data, Imaging and LiDAR

Author(s)

Nicholas C. COOPS, Alexis ACHIM, Paul ARP, Christopher W. BATER, John P. CASPERSEN, Jean-François CÔTÉ, Jeffery P. DECH, Adam R. DICK, Karin van EWIJK, Richard FOURNIER, Tristan R. H. GOODBODY, Chris R. HENNIGAR, Antoine LEBOEUF and al.

Year of publication :

2021

Format :

PDF

Keywords :

forest inventory, Airborne Laser Scanning, ALS, terrestrial, remote sensing

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