Grant: Collaborative Research and Development Grants
University of British Columbia
$658,078.00
Assessment of wood attributes using remote sensing (AWARE)
FY 2017-18
Summary
Canadian forest inventory and management requirements are changing rapidly as the forest sector works to satisfy an increasingly complex set of rules, standards, business practices, and public expectations (i.e., economic, environmental and social policy goals). As a result the Canadian forestry sector must generate the maximum possible value from each tree harvested. A significant barrier to the sustainable management of forests and the provision of ecosystem services under these new pressures is a lack of detailed information regarding the nature of the supply, that is, the amount and characteristics of forest resources. To address this barrier, there are two critical needs. First, to develop accurate inventory systems that spatially quantify timber and other forest related ecosystem services and second, to further the use of these systems to improve modeling of forested ecosystems, both with respect to accuracy and comprehensiveness. This project meets these two needs, in collaboration with government and industrial researchers. With this information industry can strategically invest and draw benefits across the entire value chain through an enhanced ability to understand the nature of the supply, the ability to locate and separate trees for particular end uses and enable product segregation and resource value maximization.
Program
Collaborative Research and Development Grants
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
462973-2014
Name nom
Coops, Nicholas
Department département
Forest Resources Management
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2014
Award amount
658078
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
141
Committee name en
University/Industry
Committee name fr
Universités/industrie
Area of application code
201
Area of application group en
Natural resources (economic aspects)
Area of application group fr
Ressources naturelles (aspects économiques)
Area of application en
Forestry (silviculture, forest management)
Area of application fr
Foresterie (sylviculture, aménagement forestier)
Research subject code
1301
Research subject group en
Forest engineering
Research subject group fr
Génie forestier
Research subject en
Forest management
Research subject fr
Aménagement forestier
Partie
3
Nb partie
5
Application title
Assessment of wood attributes using remote sensing (AWARE)
Keyword
NSERC
Application summary
Canadian forest inventory and management requirements are changing rapidly as the forest sector works to satisfy an increasingly complex set of rules, standards, business practices, and public expectations (i.e., economic, environmental and social policy goals). As a result the Canadian forestry sector must generate the maximum possible value from each tree harvested. A significant barrier to the sustainable management of forests and the provision of ecosystem services under these new pressures is a lack of detailed information regarding the nature of the supply, that is, the amount and characteristics of forest resources. To address this barrier, there are two critical needs. First, to develop accurate inventory systems that spatially quantify timber and other forest related ecosystem services and second, to further the use of these systems to improve modeling of forested ecosystems, both with respect to accuracy and comprehensiveness. This project meets these two needs, in collaboration with government and industrial researchers. With this information industry can strategically invest and draw benefits across the entire value chain through an enhanced ability to understand the nature of the supply, the ability to locate and separate trees for particular end uses and enable product segregation and resource value maximization.