Grants and Contributions:

Back to search
Title:
Data Integration and Fusion Using Deep Learning for Improved Species, Biomass, and Growth Estimations for Forest Value Chain Optimization
Agreement Number:
980901
Agreement Value:
$570,900.00
Agreement Date:
Oct 25, 2021 - Sep 30, 2024
Description:
Sustainable forest management requires high-quality information on tree species, biomass and growth rates. Currently, the ability to accurately map these attributes over forested landscapes accurately and in a cost-effective way is limited not by data, but by processing approaches to extract these attributes from very large, complex datasets acquired from a range of remote sensing platforms. This Project will apply deep learning algorithms to a wide range of remote sensing and other geographic data to predict these critical attributes. It will exploit the key benefits of each of the particular technologies, using algorithms currently not well investigated in a forestry context. The Project will develop a deep learning toolkit, available to forest companies, and academics, demonstrating the appropriate use and application of these new tools to extract these critical forest attributes.
Organization:
National Research Council Canada
Expected Results:

In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.

Location:
Vancouver, British Columbia, CA V6T 1Z3
Reference Number:
172-2021-2022-Q3-980901
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
108161779
Recipient Type:
Academia
Recipient's Legal Name:
The University of British Columbia
Federal Riding Name:
Vancouver Quadra
Federal Riding Number:
59039
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:

Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.

NAICS Code:
541710