Mining and exploiting the NASA Solar Dynamics Observatory data in Europe

The Dream Team

Meeting pages


The NASA SDO (Solar Dynamics Observatory) space mission is extraordinary in many ways. Its three solar instruments, AIA, HMI and EVE, push the technology and in particular the production rate of data to extreme values. For example, the SDO-AIA telescope built by LMSAL will produce by the end of 2009 a 4k x 4k image every five seconds for each of it four telescopes (10 spectral bands). Such performance is eminently justified on the scientific level, and SDO will enable many discoveries in our field. However, at about two TB per day of data, old ways of looking at the data will not be practical anymore. Mining SDO data, representing them meaningfully, and creating useful metadata require automatic tools based sometimes on advanced mathematical techniques.

Our International Team spans a wide range of expertise in the development of software for the pre-processing or post-processing of solar data. The purpose of this International Team will be to compare different algorithms having a same purpose, to discuss the desired outputs and their operational implementation in data centers. We will also seek how to combine different algorithms in order to enlarge their scope and potentially define new meaningful representation. Finally, we will study solar eruptions and the possibility to have early prediciton. This subject has impacts both on Space Weather applications, as well as on the understanding of the physics underlying solar eruptions.


  • C. Verbeeck, P.A. Higgins, T. Colak, F.T. Watson, V. Delouille, B. Mampaey, R. Qahwaji, A Multi-wavelength Analysis of Active Regions and Sunspots by Comparison of Automatic Detection Algorithms, Solar Physics, Online First, Oct. 2011. pp. 369-.
  • O.W. Ahmed, R. Qahwaji, T. Colak, P.A. Higgins, P.T. Gallagher, D.S. Bloomfield, Solar Flare Prediction Using Advanced Feature Extraction, Machine Learning, and Feature Selection, Solar Physics, Online First, Nov. 2011, pp. 404-
  • T. Dudok de Wit, S. Moussaoui, C. Guennou, F. Auchère, G. Cessateur, M. Kretzschmar, L.A. Vieira, F.F. Goryaev, Coronal Temperature Maps from Solar EUV images: a Blind Source Separation Approach, To appear in Solar Physics, 2012.
  • T. Dudok de Wit, Extracting individual contributions from their mixture: a blind source separation approach, Contributions to Plasma Physics Vol 51 (2011) pp 143-151, doi:10.1002/ctpp.201000052
  • P.A. Higgins, P.T. Gallagher, R.T.J. McAteer, and D.S. Bloomfield, Solar magnetic feature detection and tracking for space weather monitoring, Advances in Space Research Vol 47 (2011) pp 2105-2117, doi: 10.1016/j.asr.2010.06.024
  • N. Labrosse, S. Dalla, S. Marshall, Automatic Detection of Limb Prominences in 304 A EUV Images, Solar Physics, Vol 262 (2010). pp. 449-460. ISSN 0038-0938.
  • Team Members

    Young scientists


    List of keywords for the HEK

    List of keywords for feature recognition modules (FRM) that will export to the Heliophysics Event Knowledge base:


    Since good work needs some good food, here are some suggestions from another ISSI team to get some subsistence in the evening

    Veronique Delouille
    Last modified: 2012-04-16

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