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Grant: Applied Research Tools and Instruments Grants

College of New Caledonia

$170,775.00

Remote Sensing Lab

FY 2024-25

Summary
Remote sensing technologies have made great progress in the recent years, and hold great potential to aid in the planning, execution, and monitoring of forestry, wildlife management, fire mitigation, and other applications in natural resources. This project proposes the creation of a remote sensing lab, housed in the College of New Caledonia (CNC), Prince George, to be managed mainly by the Research Forest and the Applied Research and Innovation Department. This lab will serve as a hub of innovation and service provider to all practitioners, government agencies and first nations in Northern BC, while serving as a source for teaching and training of regular, and continuous education students alike. The considered equipment includes: 1. Drones (LiDAR & thermal) 2. LiDAR (laser) sensor for drone 3. Terrestrial LiDAR scanners 4. Sub-meter GNSS station 5. Multispectral sensor (different light bands) 6. High performance laptop 7. Software for LiDAR, multispectral and satellite image analysis These tools have the ability to generate precise terrain and canopy maps, while quantifying in detail forest covers (heights, diameters, crown cover) and any other volumes or areas with great accuracy. Similarly, multispectral sensors can be of great utility in assessing plant stress and other physiological indicators of critical importance for a better understanding and response to adaptations and impacts triggered by climate change and/or human intervention. Some of the potential applications include: 1. Enhanced forest inventory 2. Fire hazard mitigation 3. Assessment of harvest waste 4. Wildfire detection 5. Wildlife conservation 6. Safety audits 7. Soil conservation 8. Forest health 9. Planning of commercial thinning and other silvicultural treatments 10. Regeneration assessment and change detection (fire, harvest, partial cuts, erosion, pests, etc.) The widely positive response from industry and government speaks of a real need for leadership in these areas. This is evidenced by the letters of support attached in this application. Having a state-of-the-art remote sensing lab will significantly benefit the students of CNC’s Natural Resources and Forest Technology program (NRFT) by giving them direct access to cutting edge technologies that will greatly enhance their employability and help attract new talent.
Program
Applied Research Tools and Instruments Grants
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
CARTI-2024-00214
Name nom
Crespell-Montero, Pablo
Department département
Applied Research & Innovation - College of New Caledonia
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
2024
Competition year année de concours
2024
Award amount
170775
Program id
CARTI
Program name en
Applied Research Tools and Instruments Grants
Program name fr
Subventions d'outils et d'instruments de recherche appliquée
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
CCARTI-2024
Committee name en
ARTI Review Committee
Committee name fr
Comité d’évaluation OIRA
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
RDF4010414
Field of research list names en
Quantitative methods in forestry
Field of research list names fr
Méthodes quantitatives en foresterie
Socioeconomic objective list codes
RDS10801
Socioeconomic objective list names en
Forestry
Socioeconomic objective list names fr
Foresterie
Application title
Remote Sensing Lab
Keywords
Remote sensing; LiDAR; Multispectral; Satellite images; forest inventory; commercial thinning; plant health
Application summary
Remote sensing technologies have made great progress in the recent years, and hold great potential to aid in the planning, execution, and monitoring of forestry, wildlife management, fire mitigation, and other applications in natural resources. This project proposes the creation of a remote sensing lab, housed in the College of New Caledonia (CNC), Prince George, to be managed mainly by the Research Forest and the Applied Research and Innovation Department. This lab will serve as a hub of innovation and service provider to all practitioners, government agencies and first nations in Northern BC, while serving as a source for teaching and training of regular, and continuous education students alike. The considered equipment includes: 1. Drones (LiDAR & thermal) 2. LiDAR (laser) sensor for drone 3. Terrestrial LiDAR scanners 4. Sub-meter GNSS station 5. Multispectral sensor (different light bands) 6. High performance laptop 7. Software for LiDAR, multispectral and satellite image analysis These tools have the ability to generate precise terrain and canopy maps, while quantifying in detail forest covers (heights, diameters, crown cover) and any other volumes or areas with great accuracy. Similarly, multispectral sensors can be of great utility in assessing plant stress and other physiological indicators of critical importance for a better understanding and response to adaptations and impacts triggered by climate change and/or human intervention. Some of the potential applications include: 1. Enhanced forest inventory 2. Fire hazard mitigation 3. Assessment of harvest waste 4. Wildfire detection 5. Wildlife conservation 6. Safety audits 7. Soil conservation 8. Forest health 9. Planning of commercial thinning and other silvicultural treatments 10. Regeneration assessment and change detection (fire, harvest, partial cuts, erosion, pests, etc.) The widely positive response from industry and government speaks of a real need for leadership in these areas. This is evidenced by the letters of support attached in this application. Having a state-of-the-art remote sensing lab will significantly benefit the students of CNC’s Natural Resources and Forest Technology program (NRFT) by giving them direct access to cutting edge technologies that will greatly enhance their employability and help attract new talent.
College of New Caledonia - $170,775 Grant (2024-25) | Canada Spends