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Grant: Alliance Grants

Toronto Metropolitan University

$36,012.00

Drone Allometry: Reducing costs and enhancing capacity for Indigenous carbon stewardship

FY 2024-25

Summary
Indigenous led monitoring of protected and conserved areas remains challenging due to its labour intensiveness, and lack of local resources. An area of focus is the enhancement of carbon storage in natural ecosystems, yet measuring carbon storage in natural ecosystems traditionally requires measuring individual trees. The proposed research project in partnership with WWF Canada and TRCA will evaluate opportunities to use consumer grade unmanned aerial vehicles (UAVs), or drones, to enhance forest carbon monitoring in response to needs identified by Indigenous communities. The project will synthesize existing knowledge on relationships between easily observable properties from drones, such as crown diameter, and carbon related metrics such as aboveground biomass. The research team will explore open datasets to derive new models to predict aboveground biomass from crown diameter, and will assess accuracy and uncertainty of crown size-based methods using field measurements. Results will be made available for use through deployment of a web app interface to enable users to quickly estimate carbon content of trees imaged from drones. This web-application will also serve as a participatory science portal where users can submit data that will further reduce uncertainties in drone-based forest carbon monitoring in a Canadian context. This research project will generate societal and environmental benefit for Canada through enhanced understanding of where carbon is stored in our landscape, and enhanced capacity for Indigenous communities to lead monitoring efforts on their territories. This understanding will lead to new knowledge on prioritizing areas for carbon conservation, enhance natural climate solutions and contribute towards Canada's plan to reach Net-Zero emissions by 2050.
Program
Alliance Grants
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
598203-2024
Name nom
Rogers, Cheryl CA
Department département
Geography & Environmental Studies
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
36012
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
1002
Area of application group en
Northern development
Area of application group fr
Développement du nord
Area of application en
Environment
Area of application fr
Environnement
Research subject code
4150
Research subject group en
Physical geography
Research subject group fr
Géographie physique
Research subject en
Physical geography
Research subject fr
Géographie physique
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Drone Allometry: Reducing costs and enhancing capacity for Indigenous carbon stewardship
Keywords
aboveground biomass estimation; allometry; ecosystem carbon storage; ecosystem restoration; natural climate solutions; uav/drones
Application summary
Indigenous led monitoring of protected and conserved areas remains challenging due to its labour intensiveness, and lack of local resources. An area of focus is the enhancement of carbon storage in natural ecosystems, yet measuring carbon storage in natural ecosystems traditionally requires measuring individual trees. The proposed research project in partnership with WWF Canada and TRCA will evaluate opportunities to use consumer grade unmanned aerial vehicles (UAVs), or drones, to enhance forest carbon monitoring in response to needs identified by Indigenous communities. The project will synthesize existing knowledge on relationships between easily observable properties from drones, such as crown diameter, and carbon related metrics such as aboveground biomass. The research team will explore open datasets to derive new models to predict aboveground biomass from crown diameter, and will assess accuracy and uncertainty of crown size-based methods using field measurements. Results will be made available for use through deployment of a web app interface to enable users to quickly estimate carbon content of trees imaged from drones. This web-application will also serve as a participatory science portal where users can submit data that will further reduce uncertainties in drone-based forest carbon monitoring in a Canadian context. This research project will generate societal and environmental benefit for Canada through enhanced understanding of where carbon is stored in our landscape, and enhanced capacity for Indigenous communities to lead monitoring efforts on their territories. This understanding will lead to new knowledge on prioritizing areas for carbon conservation, enhance natural climate solutions and contribute towards Canada's plan to reach Net-Zero emissions by 2050.