Grant: Applied Research and Development Grants - Level 1
College of New Caledonia
$25,000.00
Developing a LiDAR-based timber cruising model for the Canadian forest sector
FY 2017-18
Summary
The College of New Caledonia and Silvatech Consulting Ltd. are collaborating on an applied research project to research and develop a forest stand inventory process that uses light detection and ranging (LiDAR) data and digital imagery to produce accurate and precise estimates of stand-level timber volumes. Silvatech has conducted research and development in this area for 14 years, with the objective of developing an innovative service that uses accurate remote sensing technologies to predict forest stand species composition, density and volumes. The project will occur on the CNC Research Forest, a 12,500-hectare forest research and teaching facility located near Prince George, British Columbia. Students in the College's Natural Resources and Environmental Technology program will assist with establishing research sample plots to verify LiDAR-based models. This project will introduce an important innovation to the remote sensing and forest management sectors in Canada. Forest companies will benefit from this technology by having precise models of forest stand volumes; these models will reduce planning costs and improve business decisions around timber harvesting. Widespread adoption of this new service could add substantial value to the sustainable and innovative management of Canada's forests.
Program
Applied Research and Development Grants - Level 1
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
505667-2016
Name nom
Griesbauer, Hardy
Department département
Head Office
Organization id
22211
Institution établissement
College of New Caledonia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2016
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
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
4102
Research subject group en
Geographical information
Research subject group fr
Information géographique
Research subject en
Remote sensing
Research subject fr
Télédétection
Partie
1
Nb partie
1
Application title
Developing a LiDAR-based timber cruising model for the Canadian forest sector
Keyword
NSERC
Application summary
The College of New Caledonia and Silvatech Consulting Ltd. are collaborating on an applied research project to research and develop a forest stand inventory process that uses light detection and ranging (LiDAR) data and digital imagery to produce accurate and precise estimates of stand-level timber volumes. Silvatech has conducted research and development in this area for 14 years, with the objective of developing an innovative service that uses accurate remote sensing technologies to predict forest stand species composition, density and volumes. The project will occur on the CNC Research Forest, a 12,500-hectare forest research and teaching facility located near Prince George, British Columbia. Students in the College's Natural Resources and Environmental Technology program will assist with establishing research sample plots to verify LiDAR-based models. This project will introduce an important innovation to the remote sensing and forest management sectors in Canada. Forest companies will benefit from this technology by having precise models of forest stand volumes; these models will reduce planning costs and improve business decisions around timber harvesting. Widespread adoption of this new service could add substantial value to the sustainable and innovative management of Canada's forests.
