University of Victoria
$779,901.00 CAD
- Department
- National Research Council Canada
- Recipient country
- Canada
- Fiscal year
- 2020-2021
- Agreement period
- March 25, 2021 – March 14, 2024
- Reference
- nrc-cnrc:172-2020-2021-Q4-969829
Published purpose
The Earth Data Store (EDS) is a cloud repository for earth observation data that is supported by Canada's Digital Technology Supercluster. The use of aerial data is transitioning from manual processes to approaches based on machine learning. As this automated approach to information extraction progresses, advances are needed to provide automated ways of aligning aerial imagery with existing models and other data sources. This is a highly domain-specific task, and every set of new data sources requires at least some manual work to identify the best alignment methodologies. In this Project, the focus will be on exploiting EDS satellite data in a form that can be used with Sensair software. This involves the creation of interfaces between the systems to allow for real-time access, and the derivation of 3D model data derived from lidar point clouds, satellite data, and other sensor data.
Community tags
Tags are applied by readers, not by this site. One tag per person per record.