Department
Canadian Space AgencyAmount
$312.0K
Province
NSType
Grant
Agreement Number
003-2023-2024-Q4-00108
Purpose
The project aims to develop machine learning-based methods for automatic estimation of Arctic ice concentration, classification of sea ice types, and monitoring of pack ice leads in the Arctic Ocean, focusing on regions like the Beaufort Sea and Canadian Arctic waters. By utilizing synthetic aperture radar (SAR) data from satellites such as RADARSAT Constellation Mission (RCM) and RADARSAT-2, along with future NISAR observations, the project aims to provide the Canadian Ice Service (CIS) with improved operational ice charts, enhancing marine nowcasts and forecasts in the Canadian Arctic without manual intervention.
Dalhousie University|Dalhousie University × Canadian Space Agency
6 grants totalling $851.7K
Class Grant and Contribution Program to Support Research, Awareness and Learning in Space Science and Technology
1,000 grants totalling $324.1M
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