Grant: Strategic Projects - Group
University of British Columbia
$180,349.00
Remote mapping and characterization of riparian forests and fish habitat potential using advanced remote sensing approaches********
FY 2018-19
Summary
Riparian forests, and the stream habitats within them, are critical important for the sustainable management of Canada's forested ecosystems. Fisheries sensitive watersheds are those designated to be highly important ecologically and once designated, require special forest management activities to ensure that practices undertaken maintain the natural watershed processes and conserve the ecological attributes necessary to protect and sustain fish and their habitat. With advances in remote sensing technology, the potential to derive a suite of stream and riparian zones forest attributes is now possible. Airborne laser scanning (ALS) has been shown to be highly effective for defining accurate and detailed stream networks, as well as for characterizing stream width and gradients, the potential of vegetation to shade and regulate stream temperature and estimate the likelihood of fish habitat. Our long-term research objective is to collaborate with Provincial and Federal forest agencies, as well as forest companies, to promote new tools to map, classify, and analyze streams and associated riparian areas in forested ecosystems. Our ultimate goal is to demonstrate that ALS data can provide accurate characterizations of stream networks and associated riparian vegetation, at markedly greater spatial detail than is possible with current data sources, and that these improved information sources can greatly enhance natural resource management and planning for these stream-riparian systems.
Program
Strategic Projects - Group
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
517589-2018
Name nom
Coops, Nicholas
Department département
Forest Resources Management
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2018
Award amount
180349
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1590
Committee name en
Strategic Projects - Natural Resources and Energy
Committee name fr
Projets stratégiques - Ressources naturelles et énergie
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
1301
Research subject group en
Forest engineering
Research subject group fr
Génie forestier
Research subject en
Forest management
Research subject fr
Aménagement forestier
Partie
1
Nb partie
1
Application title
Remote mapping and characterization of riparian forests and fish habitat potential using advanced remote sensing approaches********
Keyword
NSERC
Application summary
Riparian forests, and the stream habitats within them, are critical important for the sustainable management of Canada's forested ecosystems. Fisheries sensitive watersheds are those designated to be highly important ecologically and once designated, require special forest management activities to ensure that practices undertaken maintain the natural watershed processes and conserve the ecological attributes necessary to protect and sustain fish and their habitat. With advances in remote sensing technology, the potential to derive a suite of stream and riparian zones forest attributes is now possible. Airborne laser scanning (ALS) has been shown to be highly effective for defining accurate and detailed stream networks, as well as for characterizing stream width and gradients, the potential of vegetation to shade and regulate stream temperature and estimate the likelihood of fish habitat. Our long-term research objective is to collaborate with Provincial and Federal forest agencies, as well as forest companies, to promote new tools to map, classify, and analyze streams and associated riparian areas in forested ecosystems. Our ultimate goal is to demonstrate that ALS data can provide accurate characterizations of stream networks and associated riparian vegetation, at markedly greater spatial detail than is possible with current data sources, and that these improved information sources can greatly enhance natural resource management and planning for these stream-riparian systems.