Grant: Applied Research and Development Grants - Level 1
Cégep de Chicoutimi
$25,000.00
Monitoring sustainability of shellfish farms in Nova Scotia based on high spatial resolution satellite imagery
EF 2018-19
Résumé
The accurate measurement of suspended particulate matter (SPM) concentrations in coastal waters is of crucial importance for ecosystem studies, sediment transport monitoring, and assessment of anthropYgenic impacts in the coastal ocean. High concentrations of SPM have a negative influence on production of the shellfish farms. At present, SPM field measurements remain time-consuming and expensive, and they do not accurately define the temporal and spatial dynamics of a river, an estuarine or a coastal system. The present project aims to develop a remote sensing measurement tool to monitor environmental factors, such as SPM and chlorophyll-a (Chl-a) concentrations in order to identify with accurate precision proper sites for oyster farming in Nova Scotia. The study will therefore consider space time variability in coastal waters, such as tide conditions and periods of the year, through a thorough analysis of previously registered data sets. Method development will allow to assess SPM and Chl-a concentrations through high spatial resolution (20 m) satellite imagery derived from the MSI-Sentinel-2 sensor with a temporal resolution of 5 days. The Chlorophyll-Consumption Rates (CCR) will then be calculated from satellite-derived Chl-a and oysters' clearance rates (OCR) estimations which will thus lead to selection of the best site. The proposed method allowing monitoring of existing farms. It also has the potential to reduce the risk of choosing unproductive sites and identifying new sites promoting eco-responsible and to facilitate the expansion of not only the oyster farming industry, but the sea-farming industry.*
Programme
Applied Research and Development Grants - Level 1
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
531937-2018
Name nom
Tremblay, Christian
Department département
Siège social
Organization id
28439
Institution établissement
Cégep de Chicoutimi
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
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 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
106
Area of application group en
Agriculture and primary food production
Area of application group fr
Agriculture et produits alimentaires primaires
Area of application en
Aquaculture
Area of application fr
Aquiculture
Research subject code
4102
Research subject group en
Geographical information
Research subject group fr
Information géographique
Research subject en
Remote sensing
Research subject fr
Télédétection
Partie
1
Nb partie
1
Application title
Monitoring sustainability of shellfish farms in Nova Scotia based on high spatial resolution satellite imagery
Keyword
NSERC
Application summary
The accurate measurement of suspended particulate matter (SPM) concentrations in coastal waters is of crucial importance for ecosystem studies, sediment transport monitoring, and assessment of anthropYgenic impacts in the coastal ocean. High concentrations of SPM have a negative influence on production of the shellfish farms. At present, SPM field measurements remain time-consuming and expensive, and they do not accurately define the temporal and spatial dynamics of a river, an estuarine or a coastal system. The present project aims to develop a remote sensing measurement tool to monitor environmental factors, such as SPM and chlorophyll-a (Chl-a) concentrations in order to identify with accurate precision proper sites for oyster farming in Nova Scotia. The study will therefore consider space time variability in coastal waters, such as tide conditions and periods of the year, through a thorough analysis of previously registered data sets. Method development will allow to assess SPM and Chl-a concentrations through high spatial resolution (20 m) satellite imagery derived from the MSI-Sentinel-2 sensor with a temporal resolution of 5 days. The Chlorophyll-Consumption Rates (CCR) will then be calculated from satellite-derived Chl-a and oysters' clearance rates (OCR) estimations which will thus lead to selection of the best site. The proposed method allowing monitoring of existing farms. It also has the potential to reduce the risk of choosing unproductive sites and identifying new sites promoting eco-responsible and to facilitate the expansion of not only the oyster farming industry, but the sea-farming industry.*