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AuroraClick

Help classify auroral shapes in more than 1.3 billion images of the night sky

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    About AuroraClick

    Since 2006, THEMIS all-sky imagers have been capturing images of the night sky every three seconds at many different sites across North America. While the broad phenomena that lead to the aurora are well-understood, the smaller-scale shapes that are captured in these all-sky images and their connection to underlying magnetospheric processes are not. To enable large-scale machine learning and statistical studies of the aurora that may lead to a better understanding of auroral morphology, this project aims to classify all of these images into one of six categories: arc aurora, diffuse aurora, discrete aurora, cloudy, moon, or clear/no aurora.