Title:
Using Generative AI and Satellite Earth Observation (EO) Data for Uncertainty-Aware Downscaling of ALS Point Clouds with Case Study on Fuel Attribute and Fire Growth Modelling
Agreement Number:
24AO3ALB21
Agreement Value:
$312,479.00
Agreement Date:
Mar 5, 2024 - Feb 28, 2027
Description:
This project aims to create detailed 3D models of Canada's vast forests using satellite data and computer algorithms, improving the coverage of fine-detailed data across large areas. This innovative approach will aid in forest monitoring, wildfire mapping, and climate change impact assessment, offering a valuable tool accessible through an open data sharing portal for researchers and the public.
Organization:
Canadian Space Agency
Expected Results:
The Research component of the program provides financial support to organizations to conduct space related research and development in priority areas. It will support targeted knowledge development and innovation to sustain and enhance the Canadian capacity to use space to address national needs and priorities in the future.
Location:
Edmonton, Alberta, CA T6G 2G7
Reference Number:
003-2023-2024-Q4-00124
Report Type:
Grants and Contributions
Recipient's Legal Name:
The Governors of the University of Alberta
Program:
Class Grant and Contribution Program to Support Research, Awareness and Learning in Space Science and Technology
Program Purpose:
This program supports knowledge development and innovation in the CSA's priority areas while increasing the awareness and participation of Canadians in space-related disciplines and activities.
The Research Component aims to support the development of science and technology; foster the continual development of a critical mass of researchers and highly qualified people in Canada; and support information gathering and space-related studies and research pertaining to Canadian Space Agency priorities.