Canada backs startup to boost data on space debris | 2019-06-18

Canada backs startup to boost data on space debris

18 June, 2019 12:00 AM printer

PARIS: The Canadian government's contracting arm is backing a proposed new satellite system that will use big data analytics to provide commercially available data about the Earth and its orbit amid growing concerns about the risks posed by space debris.

Support from the Canadian Commercial Corporation (CCC) will allow Canadian startup NorthStar Earth and Space to negotiate initial service agreements with the United States, Britain and other countries, NorthStar CEO Stewart Bain said. The deal with CCC will be signed on Monday at the Paris Airshow, report agencies.

Bain cited strong international interest in the project given increasing levels of activity in space, and mounting concerns about the dangers posed to satellites by some 600,000 estimated pieces of debris floating in the Earth's orbit.

The United States and other governments already collect such data, but demand for near real-time information that is commercially available is growing rapidly, with experts forecasting a "new space" economy worth over US$1 trillion a year. "This agreement puts us in a strong position to work with the United States, the UK and other countries to deliver our services," Bain told Reuters, noting the government of Canada and Quebec had each already invested US$13 million to date.

Private investors in the project include Telesystem Space Inc. of Montreal, the majority shareholder, and the Space Alliance of Europe, which was formed by Telespazio and Thales Alenia Space, a joint partnership formed by France's Thales and Italy's Leonardo. NorthStar's proposed system calls for the 2021 launch of a new constellation of small satellites that will use an array of hyperspectral, infrared and optical sensors to continuously monitor and analyse the Earth's ecosystems and orbit.

The company said its system would use big data analytics and artificial intelligence to make sense of the huge amount of information and accurately predict potential collisions with debris and other objects in space, while helping to validate and improve the performance of existing surveillance systems.


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