Thanks to an international team led by Swinburne University of Technology and leading provider of global Earth observation data, Planet Labs, the AI-powered method reduces the cost of Earth Observation satellites while keeping the quality of images high.

Traditionally, designing and operating Earth observation satellites involves trade-offs between the size, cost and quality of different hardware options and because taking images of the Earth’s surface is important for many applications, from monitoring climate change and biodiversity loss, to tracking extreme events like bushfires and floods, it’s critical that companies work towards lowering the cost of Earth observation satellites to allow better tracking of these important events.