Grants and Contributions

Space agencies, research institutes and private organizations are looking for commercial landing services in order to reach sites of interest on the Moon. Because of their poorly known local topography, such sites are potentially hazardous for landing. These landing systems will require to be equipped with high-accuracy navigation systems to accurately reach their target and Hazard Detection and Avoidance (HDA) systems to detect and avoid any surface hazards at touchdown. There is currently no readily available commercial systems to answer this need.

The “Relative Navigation and Hazard Detection & Avoidance Integration for Commercial Landers” project aims at filling this need by developing a fully integrated and low-cost HDA system composed of a Lidar sensor, a camera sensor, an inertial measurement unit and an embedded processing unit where optical navigation and HDA functions are integrated. This innovative system will allow the reduction of the overall Moon landing system costs and bring more Canadian technology and know-how on the Moon.

In this study of 60-days head down bed rest, artificial gravity generated on a large centrifuge, and exercise training will be introduced to determine their effectiveness. Changes in blood volume and regulatory hormones will be followed to assess their contribution to loss of cardiovascular fitness.

This project provides a rare opportunity to investigate simultaneous changes within the heart, blood vessels and skeleton in both men and women that volunteer to spend 60-days in bed, mimicking the reduced physical demands required of humans during spaceflight.

This study will examine the
physiology of blood clotting with volunteers
in a 60-day bedrest study to simulate the
weightlessness of spaceflight. This
information will help us better understand
venous clotting in astronauts and patients
confined to bed.

This study will examine the physiology of blood clotting in participants in dry immersion (a way of simulating the weightlessness of spaceflight). This information will help us better understand venous clotting in astronauts and hospitalized patients confined to bed.

C-CORE and GHGSat are developing a means to monitor offshore platform Greenhouse Gas (GHG) emissions. The Offshore Emissions Monitoring (OEM) innovation builds on several sensors and the success of recently launched GHGSat high-resolution satellites (Iris and Hugo) in detecting the smallest GHG emissions ever measured by satellite. This project will advance OEM from concept validation with offshore platforms to an operational application solution ready for implementation. The application domain is offshore operators, government environment departments, and regulatory bodies. The drivers for implementation are similar to the onshore market, including revenue potential from captured emissions, activist investor pressure, regulation, and safety.

Operating on an a Cloud infrastructure, this product will provide value adders the opportunity to offer their own applications as a service to users. This project will improve geospatial data access and usability for new users including non-experts and/or other non-traditional user groups engaged with application developers in a variety of application domains. Based on standards and best practices this project promotes system interoperability and the future creation of a global network of Earth Observation data resources.

Government authorities and data scientists do not have the ability to directly request ground truth observations from citizens to assess the validity of space-based Earth observation (SBEO) algorithms, and citizens do not have the ability to submit such observations directly. The opportunity is to combine these two observational approaches in a completely new method of environmental and disaster assessment using SBEO techniques and imagery. This will help close a communication gap and allow scientists and government officials to collaborate with citizens to validate and enhance the satellite image processing algorithms directly and in near real time, to determine the ground truth.

This project aims to develop innovative approaches using Earth observation data for modeling and mapping floods, the most frequent and damaging natural disaster in Canada. By integrating optical and radar satellite imagery, this project will generate near-real-time flood boundaries and flood maps. These results will help decision-makers to have a global and current vision of the risk in order to take preventive action and optimize interventions, and for insurance companies to better evaluate risks for their clients.

The objective of this project is to create an automated data processing pipeline and provide access to this data through a web visualisation platform that can be used for monitoring infrastructure extending across thousands of kilometers, while still highlighting displacement areas as small as tens of meters. 3vG will develop more efficient techniques to capture displacement features at all scales and displacement feature highlighting and filtering to allow end users to quickly focus in on areas of critical importance. The end result will be higher quality, lighter weight, and easier to use data products for network wide infrastructure monitoring.