Climate change is a big problem, and big problems require big data to understand. Few research centers take a wider lens to environmental science than the NERC Earth Observation Data Acquisition and Analysis Service (NEODAAS) . Since the 1990s, the service, part of the United Kingdom's Natural Environment Research Council and overseen by the National Centre for Earth Observation (NCEO), has made the Earth observation data collected by hundreds of satellites freely available to researchers. Backed by NVIDIA DGX systems as part of the Massive Graphical Processing Unit Cluster for Earth Observation (MAGEO), the NEODAAS team, based at the Plymouth Marine Laboratory in the U.K., supports cutting-edge research that opens up new ways of looking at Earth observation data with deep learning. Thanks to NVIDIA's accelerated computing platform they're now enabling the analysis of these troves of data faster than previously thought possible. Earth Under Observation More than 10TB of Earth observation data is collected daily by sensors on more than 150 satellites orbiting the planet. Processing and analyzing this requires a massive amount of compute power. To facilitate the application of deep learning to this data and gain valuable insights into the planet's health, NEODAAS installed MAGEO. The large… Read full this story
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