Title:
Operational Sea Ice Mapping Using Deep Learning Applied to Satellite Image and User Collected Data
Agreement Number:
23SUESDEEP
Agreement Value:
$225,000.00
Agreement Date:
Mar 24, 2024 - Mar 31, 2027
Description:
Following a first-place success in the European Space Agency’s AutoICE Challenge, the Vision and Image Processing Lab (VIP Lab) is continuing to advance state-of-the-art machine learning algorithms towards the automation of operational sea ice mapping using remotely sensed and ancillary data. Manual ice charting is very time consuming and limited in the number of images that can be processed. Automation of this process using artificial intelligence has been an elusive goal for decades. The researchers seek to further their solution to support Canadian operational ice mapping in partnership with the Canadian Ice Service (CIS).
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:
Waterloo, Ontario, CA N2L 3G1
Reference Number:
003-2023-2024-Q4-00062
Report Type:
Grants and Contributions
Recipient's Legal Name:
University of Waterloo
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.