Grant: Applied Research and Development Grants - Level 1
Nova Scotia Community College
$25,000.00
Development and Evaluation of a Low-Cost Process to Support Vegetation Classification Using Unmanned Aerial Vehicles
FY 2019-20
Summary
East Coast Aquatics is a Nova Scotia based biological consulting firm that specializes in conducting wetland and stream habitat assessment and monitoring, designing and implementing restoration of habitats, and assessing and monitoring the biological communities of plants, turtles, fish and micro-invertebrates. Vegetation classification is the process of classifying and mapping the vegetation in an area of interest. The traditional method for surveying a vegetation site requires a sampling approach using a number of quadrats deployed throughout the study area. A quadrat is a frame that is used to mark out a specific area to be sampled. The issue East Coast Aquatics is having is that conducting these manual assessments are time consuming and labor intensive, occur in remote areas, can disturb the habitat, and the accuracy of the assessment varies based on the number of sampling points used to represent the entire area. As a result, East Coast Aquatics would like to collaborate with NSCC's Centre of Geographic Sciences Applied Research to explore the potential for using Unmanned Aerial Vehicles to improve the quality and efficiency of vegetation classification. This project will explore cost effective approaches to all stages of the classification process including data collection, image processing and image classification.
Program
Applied Research and Development Grants - Level 1
Recipient
Location
Nova Scotia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
537866-2018
Name nom
Joseph, Alain
Department département
Waterfront Campus
Organization id
16240
Institution établissement
Nova Scotia Community College
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
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
Group fr
PARTENARIATS DE RECHERCHE
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
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
1500
Research subject group en
Environmental engineering
Research subject group fr
Génie de l'environnement
Research subject en
Environmental engineering
Research subject fr
Génie de l'environnement
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Development and Evaluation of a Low-Cost Process to Support Vegetation Classification Using Unmanned Aerial Vehicles
Keyword
NSERC
Application summary
East Coast Aquatics is a Nova Scotia based biological consulting firm that specializes in conducting wetland and stream habitat assessment and monitoring, designing and implementing restoration of habitats, and assessing and monitoring the biological communities of plants, turtles, fish and micro-invertebrates. Vegetation classification is the process of classifying and mapping the vegetation in an area of interest. The traditional method for surveying a vegetation site requires a sampling approach using a number of quadrats deployed throughout the study area. A quadrat is a frame that is used to mark out a specific area to be sampled. The issue East Coast Aquatics is having is that conducting these manual assessments are time consuming and labor intensive, occur in remote areas, can disturb the habitat, and the accuracy of the assessment varies based on the number of sampling points used to represent the entire area. As a result, East Coast Aquatics would like to collaborate with NSCC's Centre of Geographic Sciences Applied Research to explore the potential for using Unmanned Aerial Vehicles to improve the quality and efficiency of vegetation classification. This project will explore cost effective approaches to all stages of the classification process including data collection, image processing and image classification.