AWARE
Assessment of Wood Attributes using Remote sEnsing
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AWARE Assessment of Wood Attributes using Remote sEnsing 1 SCOPE - - PowerPoint PPT Presentation
AWARE Assessment of Wood Attributes using Remote sEnsing 1 SCOPE AND OBJECTIVES In 2 nd year of 5 year, $3.35M NSERC/Industry partnership Using remote sensing technology: help develop accurate inventory systems that spatially
Assessment of Wood Attributes using Remote sEnsing
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partnership
– help develop accurate inventory systems that spatially quantify timber – improve modeling of forested ecosystems
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theme which includes topics relevant to all themes, or to all companies.
Assessment of Wood Attributes using Remote sEnsing
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New Brunswick and Newfoundland
each province
six forests
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Structural Variability and Wood Properties Sampling Approaches for Regional Level Reporting Ecological Drivers / Implications for Management
Theme 1: National/Regional Scale
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Project colors correspond to themes
Y3 BC
Properties and Fire Disturbance (2 year PDF)
Up Transects (2 year MSc)
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New Structural Metrics for Forest Stand Descriptions Hydrological Mapping and Productivity Growth Rate Predictive Modeling for ecological site classification, habitat and forest health
Y3 BC Y3 NL Y3 NL Y4 BC
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Tree Attribute Extraction and Metrics Growth Assessment using single date, and multi- temporal ground- based LiDAR scans
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Y3 NB/NL
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Species Assessment Data Acquisition Program and Platforms Best Practice / Tools / Decision Support
Cross-Cutting Themes: Data Acquisition, Modelling, Standards, and Development of Generic Transferable Tools
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Y3 BC/NL Y3 BC
ID – Species Groups, 3 year PhD
Accuracy, 2 year MSc
UAVs, 2 year PhD
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May 16 – 18th, 2017 University of Moncton Edmundston, New Brunswick
Curtis Marr Nicholas Coops Phone: 604 822 1944 604-822-6452 Email: forestry.aware@ubc.ca Website: aware.forestry.ubc.ca
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