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Machine-learning Nanosats to Inform Global Trade

29 Sep 2020, 12:37 UTC
Machine-learning Nanosats to Inform Global Trade
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Spire’s machine-learning capable nanosat (Credit: ESA)

PARIS (ESA PR) — The latest batch of tiny satellites to monitor trade on Earth from space have launched.

The Glaswegian-built nanosatellites join a fleet of about 100 objects in low Earth orbit that help to predict the movement of the world’s resources, so that businesses and governments can make informed decisions.

The two machine-learning capable satellites were launched on a Russian Soyuz launcher, alongside two further satellites that will be used to forger inter-satellite links. These connections allow satellites to act as relays, sending data to one another and down to ground stations, which cuts the time between data collection and its delivery to customers.

Despite the coronavirus pandemic, work has progressed with full support from ESA, which has extended exceptional support to small and medium-sized enterprises working in the space industry.

The satellites have been built by Spire Global UK, a satellite-powered data company that provides predictive analysis for global shipping, aviation and weather forecasting.

These services have been developed thanks to the UK Space Agency under the ESA Pioneer Partnership Project.

Spire uses automatic identification systems aboard ships to track their whereabouts on the oceans. Its network picks up the identity, ...

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