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PeriodicalsArtificial Intelligence & Machine Learning

Solar Imaging Data Analytics: A Selective Overview of Challenges and Opportunities

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Abstract & Overview

We give a gentle introduction to solar imaging data, focusing on the challenges and opportunities of data-driven approaches for solar eruptions. We present various solar phenomena prediction problems that might benefit from statistical methods and describe available data products and software packages. State-of-the-art solar eruption forecasting models with data-driven approaches are summarized and discussed. Based on the characteristics of the datasets and state-of-the-art approaches, we point out several promising directions to explore from statistical modeling and computational perspectives.

Cite this record

Yang Chen, W. B. Manchester, Meng Jin, Alexei A. Pevtsov (2024). Solar Imaging Data Analytics: A Selective Overview of Challenges and Opportunities. Statistics and data science in imaging., 1(1). https://doi.org/10.1080/29979676.2024.2391688

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Chen, Y., Manchester, W. B., Jin, M., & Pevtsov, A. A. (2024). Solar Imaging Data Analytics: A Selective Overview of Challenges and Opportunities. Statistics and data science in imaging., 1(1). https://doi.org/10.1080/29979676.2024.2391688
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