Grant: Discovery Grants Program - Individual
University of Waterloo
$83,000.00
Hyperspectral imaging for analyzing gaseous emissions and Indigenous objects of cultural significance
EF 2024-25
Résumé
Environmental protection and Truth and Reconciliation are two of the most pressing issues facing Canadians. Greenhouse gases (GHGs) and other pollutants must be detected and quantified to assess their impact on climate change and human health, as well as the regulatory compliance of the underlying sources. At the same time, Canadians must reconcile with Indigenous peoples, which includes supporting research into Indigenous epistemologies that have been long overlooked, and even systematically erased, by western academe. Hyperspectral (HS) imaging is a potent tool to accomplish both tasks.
HS cameras generate thousands of near simultaneous images, each at a unique wavelength. Since most gases absorb and emit radiation at distinct infrared (IR) wavelengths, HS imaging can fingerprint and quantify gases far more reliably than is achievable using conventional IR imaging techniques. HS and other IR imaging techniques may also provide key insights into the construction and adornment of culturally- and spiritually-significant Indigenous objects, e.g., the pigments associated with a given colour, in a non-destructive way.
This five-year research program has two interconnected objectives: developing new HS imaging techniques to quantify emissions; and deploying IR techniques, including HS imaging, to support scholarly exploration of Indigenous material culture. The first objective builds on collaborations between the applicant and industry, governmental agencies, and Telops, the Canadian originator of this technology. A key task is to derive algorithms that convert the HS data into emission estimates in an expedient manner. An emphasis will be placed on deploying statistical tools to draw probabilistic conclusions about plume composition and emission rates. Trainees will work directly with industry and regulatory agencies, equipping them with skills needed by Canada's cleantech industry The applicant and his trainees will also work with Defence Research Development Canada to extend these algorithms to detect chemical warfare agents that may be used against Canada's military and civilian populations.
The applicant will also help researchers at UW's Longhouse Labs to deploy IR imaging techniques to support exploration of Indigenous material culture. The same algorithms used to fingerprint gases will be extended to key pigments, which will be illuminated using a reflectometer system to be developed by UW engineering students. The applicant and trainees will then generate IR images of loaned Indigenous cultural objects, which may then be interpreted by Indigenous scholars and artists-in-residents, thereby contributing to Indigenous epistemology. By involving settler engineering students in the research, these activities will also help decolonize UW's engineering program.
These research objectives are an important step towards the applicant's long-term goal of helping Canada achieve its climate change goals and reconciling with Indigenous peoples.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2024-03824
Name nom
Daun, Kyle
Department département
Mechanical and Mechatronics Engineering
Organization id
33
Institution établissement
University of Waterloo
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
83000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
400
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environment
Area of application fr
Environnement
Research subject code
2110
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Combustion
Research subject fr
Combustion
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
Hyperspectral imaging for analyzing gaseous emissions and Indigenous objects of cultural significance
Keywords
hyperspectral; radiative transfer; spectroscopic; emission quantification; industrial combustion; machine learning; bayesian inference; reconciliation and decolonization; indigenous cultural objects; inverse analysis
Application summary
Environmental protection and Truth and Reconciliation are two of the most pressing issues facing Canadians. Greenhouse gases (GHGs) and other pollutants must be detected and quantified to assess their impact on climate change and human health, as well as the regulatory compliance of the underlying sources. At the same time, Canadians must reconcile with Indigenous peoples, which includes supporting research into Indigenous epistemologies that have been long overlooked, and even systematically erased, by western academe. Hyperspectral (HS) imaging is a potent tool to accomplish both tasks.
HS cameras generate thousands of near simultaneous images, each at a unique wavelength. Since most gases absorb and emit radiation at distinct infrared (IR) wavelengths, HS imaging can fingerprint and quantify gases far more reliably than is achievable using conventional IR imaging techniques. HS and other IR imaging techniques may also provide key insights into the construction and adornment of culturally- and spiritually-significant Indigenous objects, e.g., the pigments associated with a given colour, in a non-destructive way.
This five-year research program has two interconnected objectives: developing new HS imaging techniques to quantify emissions; and deploying IR techniques, including HS imaging, to support scholarly exploration of Indigenous material culture. The first objective builds on collaborations between the applicant and industry, governmental agencies, and Telops, the Canadian originator of this technology. A key task is to derive algorithms that convert the HS data into emission estimates in an expedient manner. An emphasis will be placed on deploying statistical tools to draw probabilistic conclusions about plume composition and emission rates. Trainees will work directly with industry and regulatory agencies, equipping them with skills needed by Canada's cleantech industry The applicant and his trainees will also work with Defence Research Development Canada to extend these algorithms to detect chemical warfare agents that may be used against Canada's military and civilian populations.
The applicant will also help researchers at UW's Longhouse Labs to deploy IR imaging techniques to support exploration of Indigenous material culture. The same algorithms used to fingerprint gases will be extended to key pigments, which will be illuminated using a reflectometer system to be developed by UW engineering students. The applicant and trainees will then generate IR images of loaned Indigenous cultural objects, which may then be interpreted by Indigenous scholars and artists-in-residents, thereby contributing to Indigenous epistemology. By involving settler engineering students in the research, these activities will also help decolonize UW's engineering program.
These research objectives are an important step towards the applicant's long-term goal of helping Canada achieve its climate change goals and reconciling with Indigenous peoples.