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Grant: Applied Research and Development Grants - Level 1

Saskatchewan Polytechnic

$25,000.00

Determination of optimal point spacing for reliable RPAS-mounted LiDAR inventory of regenerating forest_x000d_ stands in Saskatchewan

FY 2020-21

Summary
The boreal forest makes up 11.7 million hectares of land in Saskatchewan, of which 5.3 million hectares is considered productive forest accounting for over $1 billion in commodity sales annually. Saskatchewan manages this industry through environmentally-sound industry standards that target long-term sustainability of the boreal forest ecosystem. Technology is an integral component of this management system. In this regard, light detection and ranging (LiDAR) scanners are a notable innovation that permits foresters to document, measure, and identify key attributes of the forest from an aerial platform faster and with better accuracy than ground-based alternatives. LiDAR data is still relatively expensive for large tracts of forested land; specialized data-processing systems are required to evaluate forest performance indicators (i.e. height, volume, species). Forsite Consultants Ltd. (Forsite) is looking to optimize regeneration (regen) surveys for stands in the 'free to grow' stage (8-14 years). Forsite therefore approached Saskatchewan Polytechnic with a research proposal aimed at determining optimal point spacing for regenerating trees using remotely piloted aircraft system (RPAS) mounted LiDAR. The objective of this research is to employ a series of trials at varying point densities over previously measured forest stands. The research would permit determination of optimal point spacing for reliable forest inventory information with respect to regenerating stands. This in turn would facilitate recalibration of existing models and more efficient forest management.
Program
Applied Research and Development Grants - Level 1
Location
Saskatchewan, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
555474-2020
Name nom
Blum, Susan
Department département
Head Office
Organization id
44957
Institution établissement
Saskatchewan Polytechnic
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2020
Competition year année de concours
2020
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
1302
Research subject group en
Forest engineering
Research subject group fr
Génie forestier
Research subject en
Forest operations
Research subject fr
Exploitation forestière
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Determination of optimal point spacing for reliable RPAS-mounted LiDAR inventory of regenerating forest_x000d_ stands in Saskatchewan
Keyword
NSERC
Application summary
The boreal forest makes up 11.7 million hectares of land in Saskatchewan, of which 5.3 million hectares is considered productive forest accounting for over $1 billion in commodity sales annually. Saskatchewan manages this industry through environmentally-sound industry standards that target long-term sustainability of the boreal forest ecosystem. Technology is an integral component of this management system. In this regard, light detection and ranging (LiDAR) scanners are a notable innovation that permits foresters to document, measure, and identify key attributes of the forest from an aerial platform faster and with better accuracy than ground-based alternatives. LiDAR data is still relatively expensive for large tracts of forested land; specialized data-processing systems are required to evaluate forest performance indicators (i.e. height, volume, species). Forsite Consultants Ltd. (Forsite) is looking to optimize regeneration (regen) surveys for stands in the 'free to grow' stage (8-14 years). Forsite therefore approached Saskatchewan Polytechnic with a research proposal aimed at determining optimal point spacing for regenerating trees using remotely piloted aircraft system (RPAS) mounted LiDAR. The objective of this research is to employ a series of trials at varying point densities over previously measured forest stands. The research would permit determination of optimal point spacing for reliable forest inventory information with respect to regenerating stands. This in turn would facilitate recalibration of existing models and more efficient forest management.