Grant: Applied Research and Development Grants - Level 1
Saskatchewan Polytechnic
$25,000.00
Machine learning of satellite imagery to locate gravel deposits
FY 2020-21
Summary
Saskatchewan Polytechnic (SP) and Peter Lucas Project Management Inc. will collaborate on the development
of a niche system to locate gravel. The goal is to identify the probability of a viable gravel source based on an
input quarter section. As gravel is a non-renewable resource, the identification of sources of gravel and the
corresponding management of it is important to many different industries. The project will examine the use of
machine learning (and/or neural networks) algorithms to determine on a topographical map the probability of a
location containing gravel. This resulting technology can help find more sources, will increase supply, save
costs, and reduce greenhouse gases due to hauling among other benefits.
Program
Applied Research and Development Grants - Level 1
Recipient
Location
Saskatchewan, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
556391-2020
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
804
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Communication systems and services (planning, organization, services)
Area of application fr
Systèmes et services de communications (planification, organisation et services)
Research subject code
2705
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Software and development
Research subject fr
Logiciels et développement
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Machine learning of satellite imagery to locate gravel deposits
Keyword
NSERC
Application summary
Saskatchewan Polytechnic (SP) and Peter Lucas Project Management Inc. will collaborate on the development
of a niche system to locate gravel. The goal is to identify the probability of a viable gravel source based on an
input quarter section. As gravel is a non-renewable resource, the identification of sources of gravel and the
corresponding management of it is important to many different industries. The project will examine the use of
machine learning (and/or neural networks) algorithms to determine on a topographical map the probability of a
location containing gravel. This resulting technology can help find more sources, will increase supply, save
costs, and reduce greenhouse gases due to hauling among other benefits.