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Grant: CCI Applied Research and Development Grants

Selkirk College

$39,938.00

Newington Creek restoration via remote geospatial mapping in Darkwoods Conservation Area

EF 2024-25

Résumé
The "Newington Creek restoration via remote geospatial mapping in Darkwoods Conservation Area" project is a collaboration between Selkirk Innovates and the Nature Conservancy of Canada (NCC). NCC owns and manages Darkwoods as one of the largest private conservation lands in Canada, protecting 63,000 hectares of forest & wildlife habitat. Managers are concerned that high densities have created conditions increasing the likelihood of moisture stress, insect, and disease infestation. Applying Selkirk College's 20 years of expertise in drone-enabled geomatics for forestry applications, the project will leverage emerging sensor technology and artificial intelligence to develop methods to produce remotely-sensed forest inventories of equivalent or better accuracy than traditional ground-based forestry methods. Traditional methods use plot data to extrapolate forest metrics across large areas. Remote methods that accurately characterize the size (i.e. height, diameter), health status (i.e. damage codes, disease codes), and species of individual trees would not rely on extrapolation and therefore produce more accurate inventories. The current literature demonstrates the applicability of these techniques generally, but fails to deliver practical tools that forest managers can use at scale to inform timely, targeted actions to steward forest resources more effectively. The project initially seeks to develop a remote (i.e. drone-enabled) forest inventory methodology at the stand level in the Newington Creek Drainage in Southeastern BC. Researchers then propose to apply this methodology in different areas in Darkwoods Conservation Area, potentially at larger scales, perhaps with a focus on beetle infestations or other stressors of concern. The research may ultimately prove a methodology that improves overall knowledge and understanding of forest conditions by identifying new specific spectral bands/indices that are commercially available at larger and coarser scales (i.e. satellite products, fixed-wing survey). Forest managers and other stakeholder groups would be able to purchase these products and apply our techniques over broader landscapes. This would provide forest managers with very good information for planning of operations, both in a commercial forestry context, and for conservation, wildfire fuel reduction, and mitigation of other risks.
Programme
CCI Applied Research and Development Grants
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
CCARD-2023-00928
Name nom
MacDonald, Terri
Department département
Selkirk Innovates - Selkirk College
Organization id
17366
Institution établissement
Selkirk College
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
39938
Program id
CCARD
Program name en
CCI Applied Research and Development Grants
Program name fr
ICC Subventions de recherche et développement appliquée
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
nan
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list codes
RDF2080204
Field of research list names en
Remote sensing in geomatics and photogrammetry
Field of research list names fr
Télédétection en géomatique et photogrammétrie
Socioeconomic objective list codes
RDS10801
Socioeconomic objective list names en
Forestry
Socioeconomic objective list names fr
Foresterie
Application title
Newington Creek restoration via remote geospatial mapping in Darkwoods Conservation Area
Keywords
geomatics;; drone-enabled geospatial mapping; forestry innovation; forest metrics; forest health; remote surveying; conservation; forest stressors; forest ecology; wildfire risk mitigation
Application summary
The "Newington Creek restoration via remote geospatial mapping in Darkwoods Conservation Area" project is a collaboration between Selkirk Innovates and the Nature Conservancy of Canada (NCC). NCC owns and manages Darkwoods as one of the largest private conservation lands in Canada, protecting 63,000 hectares of forest & wildlife habitat. Managers are concerned that high densities have created conditions increasing the likelihood of moisture stress, insect, and disease infestation. Applying Selkirk College's 20 years of expertise in drone-enabled geomatics for forestry applications, the project will leverage emerging sensor technology and artificial intelligence to develop methods to produce remotely-sensed forest inventories of equivalent or better accuracy than traditional ground-based forestry methods. Traditional methods use plot data to extrapolate forest metrics across large areas. Remote methods that accurately characterize the size (i.e. height, diameter), health status (i.e. damage codes, disease codes), and species of individual trees would not rely on extrapolation and therefore produce more accurate inventories. The current literature demonstrates the applicability of these techniques generally, but fails to deliver practical tools that forest managers can use at scale to inform timely, targeted actions to steward forest resources more effectively. The project initially seeks to develop a remote (i.e. drone-enabled) forest inventory methodology at the stand level in the Newington Creek Drainage in Southeastern BC. Researchers then propose to apply this methodology in different areas in Darkwoods Conservation Area, potentially at larger scales, perhaps with a focus on beetle infestations or other stressors of concern. The research may ultimately prove a methodology that improves overall knowledge and understanding of forest conditions by identifying new specific spectral bands/indices that are commercially available at larger and coarser scales (i.e. satellite products, fixed-wing survey). Forest managers and other stakeholder groups would be able to purchase these products and apply our techniques over broader landscapes. This would provide forest managers with very good information for planning of operations, both in a commercial forestry context, and for conservation, wildfire fuel reduction, and mitigation of other risks.